{
  "sessionId": "2ec84e89-4daa-4314-94cd-87f8b70c129b",
  "projectHash": "c4ece9c032ac20d038bbd73e9aa5f86cb3fd24c826b8e99b6edcd77db288fcb1",
  "startTime": "2026-03-10T16:50:45.815Z",
  "lastUpdated": "2026-03-10T17:16:27.171Z",
  "messages": [
    {
      "id": "483645e4-1611-420b-86b9-a8d399c454b7",
      "timestamp": "2026-03-10T16:50:45.816Z",
      "type": "info",
      "content": "Skill \"using-superpowers\" is already enabled. You can run \"/skills reload\" to refresh your current instance."
    },
    {
      "id": "98919565-d2bc-4382-8ccf-c0af39a7a05e",
      "timestamp": "2026-03-10T16:51:35.636Z",
      "type": "user",
      "content": [
        {
          "text": "what other tools could we write"
        }
      ]
    },
    {
      "id": "ab78b14c-85ac-4761-85d1-1862c8a98c84",
      "timestamp": "2026-03-10T16:51:53.572Z",
      "type": "gemini",
      "content": "I will explore `aws_utils.py` and a few representative scripts to understand the current implementation patterns and depth of the existing tools.",
      "thoughts": [
        {
          "subject": "Brainstorming AWS Tools",
          "description": "I'm currently focused on expanding the existing AWS audit and reporting tools. I'm exploring potential additions to the codebase, prioritizing features that offer enhanced cost and billing insights. Right now, I'm analyzing the current tools, like `aws_bills.py`, to pinpoint areas for improvement and identify gaps in the reporting capabilities.",
          "timestamp": "2026-03-10T16:51:38.946Z"
        },
        {
          "subject": "Generating Tool Ideas",
          "description": "I'm now generating new tool ideas, keeping in mind the user's requirements for AWS audit and reporting tools. I'm focusing on areas where the current toolkit has gaps. Specifically, IAM auditing, focusing on users, roles, and policies, is at the top of my list, along with security group and S3 bucket auditing. I'm considering ways to incorporate backup compliance checks, and integrating Trusted Advisor.",
          "timestamp": "2026-03-10T16:51:41.748Z"
        },
        {
          "subject": "Evaluating Current Tool Style",
          "description": "I'm now diving into the existing codebase, focusing on the style and architecture of the current tools. I've started reviewing `aws_utils.py` to get a grasp of the shared utility functions and the overall approach. I intend to build tools that align with this style, starting with IAM auditing and security group checks, considering features such as MFA, inactive key checks, and open ports. I'll need to use some of the existing cost tools to see if the new tools can be easily combined with them.",
          "timestamp": "2026-03-10T16:51:44.489Z"
        }
      ],
      "tokens": {
        "input": 18517,
        "output": 73,
        "cached": 0,
        "thoughts": 460,
        "tool": 0,
        "total": 19050
      },
      "model": "gemini-3-flash-preview",
      "toolCalls": [
        {
          "id": "read_file_1773161504776_0",
          "name": "read_file",
          "args": {
            "file_path": "aws_utils.py"
          },
          "result": [
            {
              "functionResponse": {
                "id": "read_file_1773161504776_0",
                "name": "read_file",
                "response": {
                  "output": "import boto3\nimport json\nimport os\nimport subprocess\nimport time\nfrom datetime import datetime, date\nfrom dateutil.relativedelta import relativedelta\n\n# Attempt to load .env file if python-dotenv is installed\ntry:\n    from dotenv import load_dotenv\n\n    load_dotenv()\nexcept ImportError:\n    pass\n\n\n# --- GOOGLE SHEETS CONFIG ---\ndef get_google_client_secret_file():\n    return os.getenv(\"GOOGLE_CLIENT_SECRET_FILE\", \"client_secret.json\")\n\n\ndef get_google_authorized_user_file():\n    return os.getenv(\"GOOGLE_AUTHORIZED_USER_FILE\", \"authorized_user.json\")\n\n\nSCOPES = [\n    \"https://www.googleapis.com/auth/spreadsheets\",\n    \"https://www.googleapis.com/auth/drive\",\n]\n\n\ndef get_google_auth():\n    \"\"\"Authenticates with Google Sheets API.\"\"\"\n    import gspread\n    from google_auth_oauthlib.flow import InstalledAppFlow\n    from google.auth.transport.requests import Request\n    from google.oauth2.credentials import Credentials\n\n    creds = None\n    auth_user_file = get_google_authorized_user_file()\n    client_secret_file = get_google_client_secret_file()\n\n    if os.path.exists(auth_user_file):\n        creds = Credentials.from_authorized_user_file(auth_user_file, SCOPES)\n\n    if not creds or not creds.valid:\n        if creds and creds.expired and creds.refresh_token:\n            creds.refresh(Request())\n        else:\n            if not os.path.exists(client_secret_file):\n                print(\n                    f\"Warning: {client_secret_file} not found. Google Sheets export will be skipped.\"\n                )\n                return None\n            flow = InstalledAppFlow.from_client_secrets_file(client_secret_file, SCOPES)\n            creds = flow.run_local_server(port=0)\n        with open(auth_user_file, \"w\") as token:\n            token.write(creds.to_json())\n\n    return gspread.authorize(creds)\n\n\ndef export_to_sheets(title, headers, rows):\n    \"\"\"\n    Creates a Google Sheet and populates it with headers and rows.\n    Title will be appended with ISO8601 date.\n    \"\"\"\n    gc = get_google_auth()\n    if not gc:\n        return None\n\n    full_title = f\"{title}_{date.today().isoformat()}\"\n    print(f\"Exporting to Google Sheet: {full_title}...\")\n\n    try:\n        sh = gc.create(full_title)\n\n        # Share with domain if configured\n        org_domain = os.getenv(\"GOOGLE_ORGANIZATION_DOMAIN\")\n        if org_domain:\n            try:\n                print(f\"Sharing with organization domain: {org_domain}...\")\n                sh.share(org_domain, perm_type=\"domain\", role=\"reader\")\n            except Exception as share_error:\n                print(\n                    f\"Warning: Failed to share with domain {org_domain}: {share_error}\"\n                )\n\n        ws = sh.get_worksheet(0)\n        ws.update_title(\"Data\")\n\n        # Prepare data: headers + rows\n        data = [headers] + rows\n        ws.update(data)\n\n        # Basic formatting\n        ws.format(\"A1:Z1\", {\"textFormat\": {\"bold\": True}})\n        ws.freeze(rows=1)\n\n        print(f\"Successfully exported to: {sh.url}\")\n        return sh.url\n    except Exception as e:\n        print(f\"Error exporting to Google Sheets: {e}\")\n        return None\n\n\ndef get_boto_session():\n    \"\"\"\n    Returns a boto3 session for the parent profile.\n    Ensures SSO login is valid and unsets conflicting env vars.\n    \"\"\"\n    ensure_sso_login()\n    parent_profile = os.getenv(\"AWS_PARENT_PROFILE\", \"default\")\n\n    # Unset env vars that would override the profile\n    for var in [\"AWS_ACCESS_KEY_ID\", \"AWS_SECRET_ACCESS_KEY\", \"AWS_SESSION_TOKEN\"]:\n        if var in os.environ:\n            del os.environ[var]\n\n    os.environ[\"AWS_PROFILE\"] = parent_profile\n    return boto3.Session(profile_name=parent_profile)\n\n\ndef ensure_sso_login():\n    \"\"\"\n    Checks if the current session has valid credentials.\n    If not, attempts to run 'aws sso login'.\n    Uses AWS_PARENT_PROFILE from env or defaults to 'default'.\n    \"\"\"\n    parent_profile = os.getenv(\"AWS_PARENT_PROFILE\", \"default\")\n\n    # We create a temporary session to check credentials\n    session = boto3.Session(profile_name=parent_profile)\n\n    try:\n        # Check if we can get an identity (indicates valid session)\n        sts = session.client(\"sts\")\n        sts.get_caller_identity()\n    except Exception:\n        print(\n            f\"Session for profile '{parent_profile}' expired or invalid. Attempting SSO login...\"\n        )\n        try:\n            # We use subprocess to call the CLI for login as it handles the browser flow\n            subprocess.run(\n                [\"aws\", \"sso\", \"login\", \"--profile\", parent_profile], check=True\n            )\n            print(\"SSO login successful.\")\n        except subprocess.CalledProcessError:\n            print(\"Error: 'aws sso login' failed. Please login manually.\")\n            return False\n        except Exception as e:\n            print(f\"An unexpected error occurred during login: {e}\")\n            return False\n\n    return True\n\n\ndef get_skip_accounts():\n    \"\"\"Returns a list of account IDs to skip from SKIP_ACCOUNTS env var.\"\"\"\n    skip_str = os.getenv(\"SKIP_ACCOUNTS\", \"\")\n    if not skip_str:\n        return []\n    return [s.strip() for s in skip_str.split(\",\") if s.strip()]\n\n\ndef get_ou_ids():\n    \"\"\"Returns a list of OU IDs from OU_IDS env var.\"\"\"\n    ou_str = os.getenv(\"OU_IDS\", \"\")\n    if ou_str:\n        return [o.strip() for o in ou_str.split(\",\") if o.strip()]\n    return []\n\n\ndef get_account_names():\n    \"\"\"Fetches account names from AWS Organizations, excluding skipped accounts.\"\"\"\n    session = get_boto_session()\n    org_client = session.client(\"organizations\")\n    skip_accounts = get_skip_accounts()\n    accounts = {}\n    try:\n        paginator = org_client.get_paginator(\"list_accounts\")\n        for page in paginator.paginate():\n            for account in page[\"Accounts\"]:\n                if account[\"Status\"] == \"ACTIVE\" and account[\"Id\"] not in skip_accounts:\n                    accounts[account[\"Id\"]] = account[\"Name\"]\n    except Exception as e:\n        sts = session.client(\"sts\")\n        try:\n            identity = sts.get_caller_identity()[\"Arn\"]\n        except:\n            identity = \"Unknown\"\n        print(f\"Error fetching account names (Identity: {identity}): {e}\")\n        print(\n            \"Tip: If you don't have permission to list all accounts, try specifying OU_IDS in your .env file.\"\n        )\n    return accounts\n\n\ndef get_previous_month_range():\n    \"\"\"Returns (start_date, end_date) for the previous month in YYYY-MM-DD format.\"\"\"\n    today = date.today()\n    first_day_curr = today.replace(day=1)\n    last_day_prev = first_day_curr - relativedelta(days=1)\n    start_date = last_day_prev.replace(day=1).strftime(\"%Y-%m-%d\")\n    end_date = first_day_curr.strftime(\"%Y-%m-%d\")\n    return start_date, end_date\n\n\ndef get_last_n_months_ranges(n=3):\n    \"\"\"Returns a list of (start_date, end_date, label) for the last n months.\"\"\"\n    ranges = []\n    current_date = datetime.now().replace(day=1)\n    for i in range(1, n + 1):\n        start_dt = current_date - relativedelta(months=i)\n        end_dt = current_date - relativedelta(months=i - 1)\n        ranges.append(\n            (\n                start_dt.strftime(\"%Y-%m-%d\"),\n                end_dt.strftime(\"%Y-%m-%d\"),\n                start_dt.strftime(\"%Y-%m\"),\n            )\n        )\n    return ranges\n\n\ndef get_aws_pricing(service_code, filters):\n    \"\"\"Generic helper to fetch on-demand price from AWS Pricing API (us-east-1).\"\"\"\n    session = get_boto_session()\n    pricing_client = session.client(\"pricing\", region_name=\"us-east-1\")\n    try:\n        response = pricing_client.get_products(\n            ServiceCode=service_code, Filters=filters\n        )\n        if response[\"PriceList\"]:\n            price_item = json.loads(response[\"PriceList\"][0])\n            on_demand = price_item[\"terms\"][\"OnDemand\"]\n            term_key = list(on_demand.keys())[0]\n            price_dimensions = on_demand[term_key][\"priceDimensions\"]\n            dim_key = list(price_dimensions.keys())[0]\n            return float(price_dimensions[dim_key][\"pricePerUnit\"][\"USD\"])\n    except Exception as e:\n        print(f\"Error fetching pricing for {service_code}: {e}\")\n    return None\n\n\ndef setup_org_accounts_session(ou_ids=None, profile_suffix=\".admin\"):\n    \"\"\"\n    Yields (account_dict, profile_name) for active accounts in OUs.\n    Handles boto3 session setup for each account.\n    Excludes accounts in SKIP_ACCOUNTS env var.\n    If no OUs are provided, scans the entire organization.\n    \"\"\"\n    session = get_boto_session()\n\n    if ou_ids is None:\n        ou_ids = get_ou_ids()\n\n    skip_accounts = get_skip_accounts()\n    org_client = session.client(\"organizations\")\n\n    if not ou_ids:\n        # Fallback: Scan all accounts in the organization if no OUs specified\n        try:\n            paginator = org_client.get_paginator(\"list_accounts\")\n            for page in paginator.paginate():\n                for account in page[\"Accounts\"]:\n                    if (\n                        account[\"Status\"] == \"ACTIVE\"\n                        and account[\"Id\"] not in skip_accounts\n                    ):\n                        # Sanitize account name for profile use\n                        account_name = (\n                            account[\"Name\"].replace(\" - \", \"-\").replace(\" \", \"-\")\n                        )\n                        profile_name = f\"{account_name}{profile_suffix}\"\n                        yield account, profile_name\n            return\n        except Exception as e:\n            sts = session.client(\"sts\")\n            try:\n                identity = sts.get_caller_identity()[\"Arn\"]\n            except:\n                identity = \"Unknown\"\n            print(\n                f\"Error fetching all accounts in organization (Identity: {identity}): {e}\"\n            )\n            print(\n                \"Tip: If you don't have permission to list all accounts, try specifying OU_IDS in your .env file.\"\n            )\n            return\n\n    for ou_id in ou_ids:\n        try:\n            paginator = org_client.get_paginator(\"list_accounts_for_parent\")\n            for page in paginator.paginate(ParentId=ou_id):\n                for account in page[\"Accounts\"]:\n                    if (\n                        account[\"Status\"] == \"ACTIVE\"\n                        and account[\"Id\"] not in skip_accounts\n                    ):\n                        # Sanitize account name for profile use\n                        account_name = (\n                            account[\"Name\"].replace(\" - \", \"-\").replace(\" \", \"-\")\n                        )\n                        profile_name = f\"{account_name}{profile_suffix}\"\n                        yield account, profile_name\n        except Exception as e:\n            print(f\"Error fetching accounts for OU {ou_id}: {e}\")\n"
                }
              }
            }
          ],
          "status": "success",
          "timestamp": "2026-03-10T16:51:53.637Z",
          "resultDisplay": "",
          "displayName": "ReadFile",
          "description": "Reads and returns the content of a specified file. If the file is large, the content will be truncated. The tool's response will clearly indicate if truncation has occurred and will provide details on how to read more of the file using the 'start_line' and 'end_line' parameters. Handles text, images (PNG, JPG, GIF, WEBP, SVG, BMP), audio files (MP3, WAV, AIFF, AAC, OGG, FLAC), and PDF files. For text files, it can read specific line ranges.",
          "renderOutputAsMarkdown": true
        },
        {
          "id": "read_file_1773161513496_1",
          "name": "read_file",
          "args": {
            "file_path": "aws-ips.py"
          },
          "result": [
            {
              "functionResponse": {
                "id": "read_file_1773161513496_1",
                "name": "read_file",
                "response": {
                  "output": "import boto3\nimport csv\nfrom botocore.exceptions import ClientError, ProfileNotFound\nfrom aws_utils import setup_org_accounts_session, get_boto_session, export_to_sheets\n\n\n# Function to list public IPs, Private IPs, and Instance IDs\ndef list_ec2_instance_info(ec2_client):\n    \"\"\"\n    Lists the public IP, private IP, and Instance ID of EC2 instances.\n    Returns a list of dictionaries.\n    \"\"\"\n    instance_info = []\n    paginator = ec2_client.get_paginator(\"describe_instances\")\n    for page in paginator.paginate():\n        for reservation in page[\"Reservations\"]:\n            for instance in reservation[\"Instances\"]:\n                # Only process if it has a Public IP\n                if \"PublicIpAddress\" in instance:\n                    instance_info.append(\n                        {\n                            \"InstanceId\": instance[\"InstanceId\"],\n                            \"PublicIp\": instance[\"PublicIpAddress\"],\n                            \"PrivateIp\": instance.get(\"PrivateIpAddress\", \"N/A\"),\n                        }\n                    )\n    return instance_info\n\n\n# Function to list Elastic IPs (EIPs)\ndef list_elastic_ips(ec2_client):\n    elastic_ips = []\n    response = ec2_client.describe_addresses()\n    for address in response[\"Addresses\"]:\n        if \"PublicIp\" in address:\n            elastic_ips.append(address[\"PublicIp\"])\n    return elastic_ips\n\n\n# Function to list the DNS names of internet-facing ALBs\ndef list_alb_dns_names(elbv2_client):\n    alb_dns_names = []\n    response = elbv2_client.describe_load_balancers()\n    for lb in response[\"LoadBalancers\"]:\n        if lb[\"Scheme\"] == \"internet-facing\":\n            alb_dns_names.append(lb[\"DNSName\"])\n    return alb_dns_names\n\n\ndef main():\n    get_boto_session()\n    regions_to_check = [\"eu-west-1\", \"eu-west-2\"]\n    rows_for_sheets = []\n\n    # Open CSV file for writing\n    with open(\"aws_external_ips_by_region.csv\", mode=\"w\", newline=\"\") as csvfile:\n        fieldnames = [\n            \"AccountName\",\n            \"AccountID\",\n            \"Region\",\n            \"Type\",\n            \"Instance ID\",\n            \"Public IP/DNS Name\",\n            \"Private IP\",\n            \"Private Hostname\",\n        ]\n        writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n        writer.writeheader()\n\n        # Iterate through active accounts and then through the regions\n        for account, profile_name in setup_org_accounts_session():\n            account_id = account[\"Id\"]\n            account_name = account[\"Name\"]\n            try:\n                boto3.setup_default_session(profile_name=profile_name)\n\n                for region in regions_to_check:\n                    try:\n                        ec2_client = boto3.client(\"ec2\", region_name=region)\n                        elbv2_client = boto3.client(\"elbv2\", region_name=region)\n\n                        # Process EC2 Instances\n                        ec2_info = list_ec2_instance_info(ec2_client)\n                        for item in ec2_info:\n                            row = {\n                                \"AccountName\": account_name,\n                                \"AccountID\": account_id,\n                                \"Region\": region,\n                                \"Type\": \"EC2\",\n                                \"Instance ID\": item[\"InstanceId\"],\n                                \"Public IP/DNS Name\": item[\"PublicIp\"],\n                                \"Private IP\": item[\"PrivateIp\"],\n                                \"Private Hostname\": \"N/A\",\n                            }\n                            writer.writerow(row)\n                            rows_for_sheets.append(list(row.values()))\n\n                        # Process EIPs\n                        eips = list_elastic_ips(ec2_client)\n                        for ip in eips:\n                            row = {\n                                \"AccountName\": account_name,\n                                \"AccountID\": account_id,\n                                \"Region\": region,\n                                \"Type\": \"EIP\",\n                                \"Instance ID\": \"N/A\",\n                                \"Public IP/DNS Name\": ip,\n                                \"Private IP\": \"N/A\",\n                                \"Private Hostname\": \"N/A\",\n                            }\n                            writer.writerow(row)\n                            rows_for_sheets.append(list(row.values()))\n\n                        # Process ALBs\n                        albs = list_alb_dns_names(elbv2_client)\n                        for dns in albs:\n                            row = {\n                                \"AccountName\": account_name,\n                                \"AccountID\": account_id,\n                                \"Region\": region,\n                                \"Type\": \"ALB\",\n                                \"Instance ID\": \"N/A\",\n                                \"Public IP/DNS Name\": dns,\n                                \"Private IP\": \"N/A\",\n                                \"Private Hostname\": \"N/A\",\n                            }\n                            writer.writerow(row)\n                            rows_for_sheets.append(list(row.values()))\n\n                    except ClientError as e:\n                        print(f\"Error in {region} for {account_name}: {e}\")\n            except (ClientError, ProfileNotFound) as e:\n                print(f\"Error accessing account {account_name}: {e}\")\n\n    print(\"CSV file 'aws_external_ips_by_region.csv' generated successfully.\")\n    export_to_sheets(\"aws-ips\", fieldnames, rows_for_sheets)\n\n\nif __name__ == \"__main__\":\n    main()\n"
                }
              }
            }
          ],
          "status": "success",
          "timestamp": "2026-03-10T16:51:53.637Z",
          "resultDisplay": "",
          "displayName": "ReadFile",
          "description": "Reads and returns the content of a specified file. If the file is large, the content will be truncated. The tool's response will clearly indicate if truncation has occurred and will provide details on how to read more of the file using the 'start_line' and 'end_line' parameters. Handles text, images (PNG, JPG, GIF, WEBP, SVG, BMP), audio files (MP3, WAV, AIFF, AAC, OGG, FLAC), and PDF files. For text files, it can read specific line ranges.",
          "renderOutputAsMarkdown": true
        },
        {
          "id": "read_file_1773161513566_2",
          "name": "read_file",
          "args": {
            "file_path": "aws-vpc.py"
          },
          "result": [
            {
              "functionResponse": {
                "id": "read_file_1773161513566_2",
                "name": "read_file",
                "response": {
                  "output": "import boto3\nimport csv\nfrom botocore.exceptions import ClientError, ProfileNotFound\nfrom aws_utils import setup_org_accounts_session, get_boto_session, export_to_sheets\n\n\ndef get_vpc_name(tags):\n    if tags:\n        for tag in tags:\n            if tag[\"Key\"] == \"Name\":\n                return tag[\"Value\"]\n    return \"Unnamed VPC\"\n\n\ndef list_vpcs(ec2_client):\n    vpcs_info = []\n    paginator = ec2_client.get_paginator(\"describe_vpcs\")\n    for page in paginator.paginate():\n        for vpc in page[\"Vpcs\"]:\n            vpcs_info.append(\n                {\n                    \"VPCName\": get_vpc_name(vpc.get(\"Tags\")),\n                    \"VPCID\": vpc[\"VpcId\"],\n                    \"CIDRBlock\": vpc.get(\"CidrBlock\", \"N/A\"),\n                }\n            )\n    return vpcs_info\n\n\ndef main():\n    get_boto_session()\n    regions_to_check = [\"eu-west-1\", \"eu-west-2\"]\n    total_vpcs_all_accounts = 0\n    rows_for_sheets = []\n\n    with open(\"aws_vpcs_by_region.csv\", mode=\"w\", newline=\"\") as csvfile:\n        fieldnames = [\n            \"AccountName\",\n            \"AccountID\",\n            \"Region\",\n            \"VPCName\",\n            \"VPCID\",\n            \"CIDRBlock\",\n        ]\n        writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n        writer.writeheader()\n\n        for account, profile_name in setup_org_accounts_session():\n            account_id = account[\"Id\"]\n            account_name = account[\"Name\"]\n            try:\n                boto3.setup_default_session(profile_name=profile_name)\n                for region in regions_to_check:\n                    try:\n                        ec2_client = boto3.client(\"ec2\", region_name=region)\n                        vpcs_info = list_vpcs(ec2_client)\n                        total_vpcs_all_accounts += len(vpcs_info)\n\n                        for vpc in vpcs_info:\n                            row = {\n                                \"AccountName\": account_name,\n                                \"AccountID\": account_id,\n                                \"Region\": region,\n                                \"VPCName\": vpc[\"VPCName\"],\n                                \"VPCID\": vpc[\"VPCID\"],\n                                \"CIDRBlock\": vpc[\"CIDRBlock\"],\n                            }\n                            writer.writerow(row)\n                            rows_for_sheets.append(list(row.values()))\n\n                        if vpcs_info:\n                            print(\n                                f'\"{account_name}\" (ID: {account_id}, Region: {region}) VPCs found: {len(vpcs_info)}'\n                            )\n                    except ClientError as e:\n                        print(f\"Error in {region} for {account_name}: {e}\")\n            except (ClientError, ProfileNotFound) as e:\n                print(f\"Error accessing account {account_name}: {e}\")\n\n    print(f\"\\nTotal number of VPCs found: {total_vpcs_all_accounts}\")\n    print(\"CSV file 'aws_vpcs_by_region.csv' generated successfully.\")\n\n    # Export to Google Sheets\n    export_to_sheets(\"aws-vpc\", fieldnames, rows_for_sheets)\n\n\nif __name__ == \"__main__\":\n    main()\n"
                }
              }
            }
          ],
          "status": "success",
          "timestamp": "2026-03-10T16:51:53.637Z",
          "resultDisplay": "",
          "displayName": "ReadFile",
          "description": "Reads and returns the content of a specified file. If the file is large, the content will be truncated. The tool's response will clearly indicate if truncation has occurred and will provide details on how to read more of the file using the 'start_line' and 'end_line' parameters. Handles text, images (PNG, JPG, GIF, WEBP, SVG, BMP), audio files (MP3, WAV, AIFF, AAC, OGG, FLAC), and PDF files. For text files, it can read specific line ranges.",
          "renderOutputAsMarkdown": true
        }
      ]
    },
    {
      "id": "4d8c3724-6412-49aa-967b-79b9e9c32316",
      "timestamp": "2026-03-10T16:52:11.771Z",
      "type": "gemini",
      "content": "I have analyzed the current codebase and the `aws_utils.py` module. The existing tools provide a strong foundation for multi-account AWS auditing, focusing on cost, inventory, and basic networking.\n\nBased on the established patterns, here are several new tools we could implement to further enhance the auditing capabilities of this repository:\n\n### 1. Security & Identity\n*   **`iam-audit.py`**: Identifies IAM users without MFA, inactive users (e.g., 90+ days), and users with access keys older than 180 days.\n*   **`security-group-audit.py`**: Flags Security Groups with overly permissive rules (e.g., `0.0.0.0/0` on ports 22, 3389, or 5432).\n*   **`s3-security-audit.py`**: Reports on S3 bucket public access status, encryption-at-rest settings, and whether versioning or lifecycle policies are enabled.\n*   **`cloudtrail-audit.py`**: Verifies if CloudTrail is enabled and logging correctly in all regions across all accounts.\n\n### 2. Cost Optimization\n*   **`cw-logs-retention.py`**: Identifies CloudWatch Log Groups with \"Never Expire\" retention settings, which often lead to unnecessary storage costs.\n*   **`ebs-unused-audit.py`**: Lists unattached EBS volumes and unassociated Elastic IPs that are accruing costs without being used.\n*   **`snapshot-age-audit.py`**: Flags EBS and RDS snapshots older than a specific threshold (e.g., 1 year) that might no longer be needed.\n*   **`lambda-efficiency.py`**: Audits Lambda functions for outdated runtimes, excessive memory allocation, or long timeouts.\n\n### 3. Governance & Compliance\n*   **`tagging-compliance.py`**: Checks for resources (EC2, RDS, S3) missing a standard set of mandatory tags (e.g., `Project`, `Environment`, `Owner`).\n*   **`backup-compliance.py`**: Reports on backup coverage for critical resources using AWS Backup or native snapshotting, highlighting those without recent backups.\n*   **`trusted-advisor-summary.py`**: Aggregates high-level recommendations from AWS Trusted Advisor across the entire organization.\n\n### 4. Specialized Resource Inventory\n*   **`route53-inventory.py`**: Lists all Hosted Zones and record counts across accounts to provide a global view of DNS.\n*   **`kms-key-audit.py`**: Inventories KMS keys, their rotation status, and whether they are nearing their deletion date.\n*   **`acm-certificate-audit.py`**: Lists ACM certificates across all regions and flags those nearing expiration (e.g., within 30 days).\n\nWould you like me to start implementing one of these, or do you have a specific area of interest (e.g., Security vs. Cost) you'd like to prioritize?",
      "thoughts": [
        {
          "subject": "Examining Current Tooling",
          "description": "I've been meticulously reviewing the current tools. They effectively handle basic inventory, covering areas like VPCs, IPs, and various services like RDS and CloudFront. The consistent pattern of iterating through accounts using `aws_utils.setup_org_accounts_session()` and establishing boto3 sessions for each is quite clear.",
          "timestamp": "2026-03-10T16:52:06.545Z"
        },
        {
          "subject": "Evaluating New Tool Ideas",
          "description": "My focus has shifted to potential new tools, with security and cost optimization being key areas. I'm visualizing the workflow: iterating through accounts, establishing boto3 sessions, and leveraging paginators to gather data. The suggested tools, like identifying IAM users without MFA or costly log groups, align well with the existing pattern.",
          "timestamp": "2026-03-10T16:52:08.951Z"
        },
        {
          "subject": "Formulating New Tool Proposals",
          "description": "I've outlined several potential new tool ideas, aligning with the existing workflow. These span security, cost optimization, operations, and visibility. The aim is to integrate these tools, which include checks for IAM users without MFA, open security groups, and excessive log group retention, into the current system, building on the established account iteration and data gathering practices. I'll need to check for existing solutions before proposing these to the user.",
          "timestamp": "2026-03-10T16:52:11.473Z"
        }
      ],
      "tokens": {
        "input": 23571,
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        "cached": 16939,
        "thoughts": 495,
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        "total": 24722
      },
      "model": "gemini-3-flash-preview"
    },
    {
      "id": "f13e3b14-8c9d-4510-bab7-372cf0fb13fc",
      "timestamp": "2026-03-10T16:53:57.822Z",
      "type": "user",
      "content": [
        {
          "text": "lets do the s3-security-audit script"
        }
      ]
    },
    {
      "id": "35701391-51cb-4e7f-b99e-d72741e707de",
      "timestamp": "2026-03-10T16:54:15.128Z",
      "type": "gemini",
      "content": "I will implement the `s3-security-audit.py` script, leveraging our existing multi-account iteration patterns to report on bucket encryption, public access settings, versioning, and lifecycle policies.",
      "thoughts": [
        {
          "subject": "Initiating the Audit",
          "description": "I'm starting the implementation of `s3-security-audit.py`. My primary objective is to audit S3 buckets organization-wide, spanning all accounts and regions within the AWS Organization. I've begun to define the key metrics for the audit report, specifically account name/ID.",
          "timestamp": "2026-03-10T16:54:03.588Z"
        },
        {
          "subject": "Outlining the Scope",
          "description": "I'm solidifying the scope, making sure I cover everything. I'm focusing on metrics like account details, bucket names, and regions. I'm also ensuring the report will cover public access blocks, encryption, versioning, lifecycle policies, and logging, and including both account- and bucket-level details.",
          "timestamp": "2026-03-10T16:54:06.323Z"
        },
        {
          "subject": "Formulating the Script",
          "description": "I'm now writing the Python script, `s3-security-audit.py`. I've added a function to iterate through accounts, and I'm prepping the logic to list buckets within each account. Refining the approach to handle bucket regions is underway; I'll use `get_bucket_location` to determine the region. I'm also incorporating error handling for scenarios like \"Not Found\" or \"Forbidden\" errors, to make things robust. Finally, I'm thinking of how to output the results.",
          "timestamp": "2026-03-10T16:54:08.552Z"
        }
      ],
      "tokens": {
        "input": 24237,
        "output": 1361,
        "cached": 0,
        "thoughts": 636,
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        "total": 26234
      },
      "model": "gemini-3-flash-preview",
      "toolCalls": [
        {
          "id": "write_file_1773161655118_0",
          "name": "write_file",
          "args": {
            "content": "import boto3\nimport csv\nfrom botocore.exceptions import ClientError, ProfileNotFound\nfrom aws_utils import setup_org_accounts_session, get_boto_session, export_to_sheets\n\n\ndef get_bucket_region(s3_client, bucket_name):\n    \"\"\"Returns the region where the bucket is located.\"\"\"\n    try:\n        response = s3_client.get_bucket_location(Bucket=bucket_name)\n        return response.get(\"LocationConstraint\") or \"us-east-1\"\n    except ClientError:\n        return \"unknown\"\n\n\ndef check_public_access_block(s3_client, bucket_name):\n    \"\"\"Checks if Public Access Block is enabled for the bucket.\"\"\"\n    try:\n        response = s3_client.get_public_access_block(Bucket=bucket_name)\n        pab = response.get(\"PublicAccessBlockConfiguration\", {})\n        # If all four are True, it's fully blocked.\n        return all(\n            [\n                pab.get(\"BlockPublicAcls\", False),\n                pab.get(\"IgnorePublicAcls\", False),\n                pab.get(\"BlockPublicPolicy\", False),\n                pab.get(\"RestrictPublicBuckets\", False),\n            ]\n        )\n    except ClientError as e:\n        if e.response[\"Error\"][\"Code\"] == \"NoSuchPublicAccessBlockConfiguration\":\n            return False\n        return \"Error/Forbidden\"\n\n\ndef check_encryption(s3_client, bucket_name):\n    \"\"\"Checks if default encryption is enabled.\"\"\"\n    try:\n        response = s3_client.get_bucket_encryption(Bucket=bucket_name)\n        rules = response.get(\"ServerSideEncryptionConfiguration\", {}).get(\"Rules\", [])\n        if rules:\n            return rules[0].get(\"ApplyServerSideEncryptionByDefault\", {}).get(\n                \"SSEAlgorithm\", \"Enabled\"\n            )\n        return False\n    except ClientError as e:\n        if e.response[\"Error\"][\"Code\"] == \"ServerSideEncryptionConfigurationNotFoundError\":\n            return \"Disabled\"\n        return \"Error/Forbidden\"\n\n\ndef check_versioning(s3_client, bucket_name):\n    \"\"\"Checks if versioning is enabled.\"\"\"\n    try:\n        response = s3_client.get_bucket_versioning(Bucket=bucket_name)\n        return response.get(\"Status\", \"Disabled\")\n    except ClientError:\n        return \"Error/Forbidden\"\n\n\ndef check_lifecycle(s3_client, bucket_name):\n    \"\"\"Checks if lifecycle policies exist.\"\"\"\n    try:\n        s3_client.get_bucket_lifecycle_configuration(Bucket=bucket_name)\n        return \"Enabled\"\n    except ClientError as e:\n        if e.response[\"Error\"][\"Code\"] == \"NoSuchLifecycleConfiguration\":\n            return \"Disabled\"\n        return \"Error/Forbidden\"\n\n\ndef main():\n    get_boto_session()\n    rows_for_sheets = []\n    fieldnames = [\n        \"AccountName\",\n        \"AccountID\",\n        \"BucketName\",\n        \"Region\",\n        \"PublicAccessBlockAll\",\n        \"Encryption\",\n        \"Versioning\",\n        \"LifecyclePolicies\",\n    ]\n\n    filename = \"aws_s3_security_audit.csv\"\n\n    with open(filename, mode=\"w\", newline=\"\") as csvfile:\n        writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n        writer.writeheader()\n\n        for account, profile_name in setup_org_accounts_session():\n            account_id = account[\"Id\"]\n            account_name = account[\"Name\"]\n            print(f\"Auditing S3 for account: {account_name} ({account_id})...\")\n\n            try:\n                boto3.setup_default_session(profile_name=profile_name)\n                s3_global = boto3.client(\"s3\")\n\n                # list_buckets is global\n                try:\n                    buckets_resp = s3_global.list_buckets()\n                except ClientError as e:\n                    print(f\"  Error listing buckets: {e}\")\n                    continue\n\n                for bucket in buckets_resp.get(\"Buckets\", []):\n                    bucket_name = bucket[\"Name\"]\n                    region = get_bucket_region(s3_global, bucket_name)\n\n                    # For S3, it's often better to use a regional client for bucket-specific configs\n                    s3_regional = boto3.client(\"s3\", region_name=region)\n\n                    pab = check_public_access_block(s3_regional, bucket_name)\n                    encryption = check_encryption(s3_regional, bucket_name)\n                    versioning = check_versioning(s3_regional, bucket_name)\n                    lifecycle = check_lifecycle(s3_regional, bucket_name)\n\n                    row = {\n                        \"AccountName\": account_name,\n                        \"AccountID\": account_id,\n                        \"BucketName\": bucket_name,\n                        \"Region\": region,\n                        \"PublicAccessBlockAll\": pab,\n                        \"Encryption\": encryption,\n                        \"Versioning\": versioning,\n                        \"LifecyclePolicies\": lifecycle,\n                    }\n                    writer.writerow(row)\n                    rows_for_sheets.append(list(row.values()))\n\n            except (ClientError, ProfileNotFound) as e:\n                print(f\"  Error accessing account {account_name}: {e}\")\n\n    print(f\"\\nS3 security audit complete. Results saved to {filename}.\")\n\n    # Export to Google Sheets\n    export_to_sheets(\"aws-s3-security-audit\", fieldnames, rows_for_sheets)\n\n\nif __name__ == \"__main__\":\n    main()\n",
            "file_path": "s3-security-audit.py"
          },
          "result": [
            {
              "functionResponse": {
                "id": "write_file_1773161655118_0",
                "name": "write_file",
                "response": {
                  "output": "Successfully created and wrote to new file: /Users/bob/git/dxw/aws-stuff/s3-security-audit.py. Here is the updated code:\nimport boto3\nimport csv\nfrom botocore.exceptions import ClientError, ProfileNotFound\nfrom aws_utils import setup_org_accounts_session, get_boto_session, export_to_sheets\n\n\ndef get_bucket_region(s3_client, bucket_name):\n    \"\"\"Returns the region where the bucket is located.\"\"\"\n    try:\n        response = s3_client.get_bucket_location(Bucket=bucket_name)\n        return response.get(\"LocationConstraint\") or \"us-east-1\"\n    except ClientError:\n        return \"unknown\"\n\n\ndef check_public_access_block(s3_client, bucket_name):\n    \"\"\"Checks if Public Access Block is enabled for the bucket.\"\"\"\n    try:\n        response = s3_client.get_public_access_block(Bucket=bucket_name)\n        pab = response.get(\"PublicAccessBlockConfiguration\", {})\n        # If all four are True, it's fully blocked.\n        return all(\n            [\n                pab.get(\"BlockPublicAcls\", False),\n                pab.get(\"IgnorePublicAcls\", False),\n                pab.get(\"BlockPublicPolicy\", False),\n                pab.get(\"RestrictPublicBuckets\", False),\n            ]\n        )\n    except ClientError as e:\n        if e.response[\"Error\"][\"Code\"] == \"NoSuchPublicAccessBlockConfiguration\":\n            return False\n        return \"Error/Forbidden\"\n\n\ndef check_encryption(s3_client, bucket_name):\n    \"\"\"Checks if default encryption is enabled.\"\"\"\n    try:\n        response = s3_client.get_bucket_encryption(Bucket=bucket_name)\n        rules = response.get(\"ServerSideEncryptionConfiguration\", {}).get(\"Rules\", [])\n        if rules:\n            return rules[0].get(\"ApplyServerSideEncryptionByDefault\", {}).get(\n                \"SSEAlgorithm\", \"Enabled\"\n            )\n        return False\n    except ClientError as e:\n        if e.response[\"Error\"][\"Code\"] == \"ServerSideEncryptionConfigurationNotFoundError\":\n            return \"Disabled\"\n        return \"Error/Forbidden\"\n\n\ndef check_versioning(s3_client, bucket_name):\n    \"\"\"Checks if versioning is enabled.\"\"\"\n    try:\n        response = s3_client.get_bucket_versioning(Bucket=bucket_name)\n        return response.get(\"Status\", \"Disabled\")\n    except ClientError:\n        return \"Error/Forbidden\"\n\n\ndef check_lifecycle(s3_client, bucket_name):\n    \"\"\"Checks if lifecycle policies exist.\"\"\"\n    try:\n        s3_client.get_bucket_lifecycle_configuration(Bucket=bucket_name)\n        return \"Enabled\"\n    except ClientError as e:\n        if e.response[\"Error\"][\"Code\"] == \"NoSuchLifecycleConfiguration\":\n            return \"Disabled\"\n        return \"Error/Forbidden\"\n\n\ndef main():\n    get_boto_session()\n    rows_for_sheets = []\n    fieldnames = [\n        \"AccountName\",\n        \"AccountID\",\n        \"BucketName\",\n        \"Region\",\n        \"PublicAccessBlockAll\",\n        \"Encryption\",\n        \"Versioning\",\n        \"LifecyclePolicies\",\n    ]\n\n    filename = \"aws_s3_security_audit.csv\"\n\n    with open(filename, mode=\"w\", newline=\"\") as csvfile:\n        writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n        writer.writeheader()\n\n        for account, profile_name in setup_org_accounts_session():\n            account_id = account[\"Id\"]\n            account_name = account[\"Name\"]\n            print(f\"Auditing S3 for account: {account_name} ({account_id})...\")\n\n            try:\n                boto3.setup_default_session(profile_name=profile_name)\n                s3_global = boto3.client(\"s3\")\n\n                # list_buckets is global\n                try:\n                    buckets_resp = s3_global.list_buckets()\n                except ClientError as e:\n                    print(f\"  Error listing buckets: {e}\")\n                    continue\n\n                for bucket in buckets_resp.get(\"Buckets\", []):\n                    bucket_name = bucket[\"Name\"]\n                    region = get_bucket_region(s3_global, bucket_name)\n\n                    # For S3, it's often better to use a regional client for bucket-specific configs\n                    s3_regional = boto3.client(\"s3\", region_name=region)\n\n                    pab = check_public_access_block(s3_regional, bucket_name)\n                    encryption = check_encryption(s3_regional, bucket_name)\n                    versioning = check_versioning(s3_regional, bucket_name)\n                    lifecycle = check_lifecycle(s3_regional, bucket_name)\n\n                    row = {\n                        \"AccountName\": account_name,\n                        \"AccountID\": account_id,\n                        \"BucketName\": bucket_name,\n                        \"Region\": region,\n                        \"PublicAccessBlockAll\": pab,\n                        \"Encryption\": encryption,\n                        \"Versioning\": versioning,\n                        \"LifecyclePolicies\": lifecycle,\n                    }\n                    writer.writerow(row)\n                    rows_for_sheets.append(list(row.values()))\n\n            except (ClientError, ProfileNotFound) as e:\n                print(f\"  Error accessing account {account_name}: {e}\")\n\n    print(f\"\\nS3 security audit complete. Results saved to {filename}.\")\n\n    # Export to Google Sheets\n    export_to_sheets(\"aws-s3-security-audit\", fieldnames, rows_for_sheets)\n\n\nif __name__ == \"__main__\":\n    main()\n"
                }
              }
            }
          ],
          "status": "success",
          "timestamp": "2026-03-10T16:54:51.168Z",
          "resultDisplay": {
            "fileDiff": "Index: s3-security-audit.py\n===================================================================\n--- s3-security-audit.py\tOriginal\n+++ s3-security-audit.py\tWritten\n@@ -0,0 +1,143 @@\n+import boto3\n+import csv\n+from botocore.exceptions import ClientError, ProfileNotFound\n+from aws_utils import setup_org_accounts_session, get_boto_session, export_to_sheets\n+\n+\n+def get_bucket_region(s3_client, bucket_name):\n+    \"\"\"Returns the region where the bucket is located.\"\"\"\n+    try:\n+        response = s3_client.get_bucket_location(Bucket=bucket_name)\n+        return response.get(\"LocationConstraint\") or \"us-east-1\"\n+    except ClientError:\n+        return \"unknown\"\n+\n+\n+def check_public_access_block(s3_client, bucket_name):\n+    \"\"\"Checks if Public Access Block is enabled for the bucket.\"\"\"\n+    try:\n+        response = s3_client.get_public_access_block(Bucket=bucket_name)\n+        pab = response.get(\"PublicAccessBlockConfiguration\", {})\n+        # If all four are True, it's fully blocked.\n+        return all(\n+            [\n+                pab.get(\"BlockPublicAcls\", False),\n+                pab.get(\"IgnorePublicAcls\", False),\n+                pab.get(\"BlockPublicPolicy\", False),\n+                pab.get(\"RestrictPublicBuckets\", False),\n+            ]\n+        )\n+    except ClientError as e:\n+        if e.response[\"Error\"][\"Code\"] == \"NoSuchPublicAccessBlockConfiguration\":\n+            return False\n+        return \"Error/Forbidden\"\n+\n+\n+def check_encryption(s3_client, bucket_name):\n+    \"\"\"Checks if default encryption is enabled.\"\"\"\n+    try:\n+        response = s3_client.get_bucket_encryption(Bucket=bucket_name)\n+        rules = response.get(\"ServerSideEncryptionConfiguration\", {}).get(\"Rules\", [])\n+        if rules:\n+            return rules[0].get(\"ApplyServerSideEncryptionByDefault\", {}).get(\n+                \"SSEAlgorithm\", \"Enabled\"\n+            )\n+        return False\n+    except ClientError as e:\n+        if e.response[\"Error\"][\"Code\"] == \"ServerSideEncryptionConfigurationNotFoundError\":\n+            return \"Disabled\"\n+        return \"Error/Forbidden\"\n+\n+\n+def check_versioning(s3_client, bucket_name):\n+    \"\"\"Checks if versioning is enabled.\"\"\"\n+    try:\n+        response = s3_client.get_bucket_versioning(Bucket=bucket_name)\n+        return response.get(\"Status\", \"Disabled\")\n+    except ClientError:\n+        return \"Error/Forbidden\"\n+\n+\n+def check_lifecycle(s3_client, bucket_name):\n+    \"\"\"Checks if lifecycle policies exist.\"\"\"\n+    try:\n+        s3_client.get_bucket_lifecycle_configuration(Bucket=bucket_name)\n+        return \"Enabled\"\n+    except ClientError as e:\n+        if e.response[\"Error\"][\"Code\"] == \"NoSuchLifecycleConfiguration\":\n+            return \"Disabled\"\n+        return \"Error/Forbidden\"\n+\n+\n+def main():\n+    get_boto_session()\n+    rows_for_sheets = []\n+    fieldnames = [\n+        \"AccountName\",\n+        \"AccountID\",\n+        \"BucketName\",\n+        \"Region\",\n+        \"PublicAccessBlockAll\",\n+        \"Encryption\",\n+        \"Versioning\",\n+        \"LifecyclePolicies\",\n+    ]\n+\n+    filename = \"aws_s3_security_audit.csv\"\n+\n+    with open(filename, mode=\"w\", newline=\"\") as csvfile:\n+        writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n+        writer.writeheader()\n+\n+        for account, profile_name in setup_org_accounts_session():\n+            account_id = account[\"Id\"]\n+            account_name = account[\"Name\"]\n+            print(f\"Auditing S3 for account: {account_name} ({account_id})...\")\n+\n+            try:\n+                boto3.setup_default_session(profile_name=profile_name)\n+                s3_global = boto3.client(\"s3\")\n+\n+                # list_buckets is global\n+                try:\n+                    buckets_resp = s3_global.list_buckets()\n+                except ClientError as e:\n+                    print(f\"  Error listing buckets: {e}\")\n+                    continue\n+\n+                for bucket in buckets_resp.get(\"Buckets\", []):\n+                    bucket_name = bucket[\"Name\"]\n+                    region = get_bucket_region(s3_global, bucket_name)\n+\n+                    # For S3, it's often better to use a regional client for bucket-specific configs\n+                    s3_regional = boto3.client(\"s3\", region_name=region)\n+\n+                    pab = check_public_access_block(s3_regional, bucket_name)\n+                    encryption = check_encryption(s3_regional, bucket_name)\n+                    versioning = check_versioning(s3_regional, bucket_name)\n+                    lifecycle = check_lifecycle(s3_regional, bucket_name)\n+\n+                    row = {\n+                        \"AccountName\": account_name,\n+                        \"AccountID\": account_id,\n+                        \"BucketName\": bucket_name,\n+                        \"Region\": region,\n+                        \"PublicAccessBlockAll\": pab,\n+                        \"Encryption\": encryption,\n+                        \"Versioning\": versioning,\n+                        \"LifecyclePolicies\": lifecycle,\n+                    }\n+                    writer.writerow(row)\n+                    rows_for_sheets.append(list(row.values()))\n+\n+            except (ClientError, ProfileNotFound) as e:\n+                print(f\"  Error accessing account {account_name}: {e}\")\n+\n+    print(f\"\\nS3 security audit complete. Results saved to {filename}.\")\n+\n+    # Export to Google Sheets\n+    export_to_sheets(\"aws-s3-security-audit\", fieldnames, rows_for_sheets)\n+\n+\n+if __name__ == \"__main__\":\n+    main()\n",
            "fileName": "s3-security-audit.py",
            "filePath": "/Users/bob/git/dxw/aws-stuff/s3-security-audit.py",
            "originalContent": "",
            "newContent": "import boto3\nimport csv\nfrom botocore.exceptions import ClientError, ProfileNotFound\nfrom aws_utils import setup_org_accounts_session, get_boto_session, export_to_sheets\n\n\ndef get_bucket_region(s3_client, bucket_name):\n    \"\"\"Returns the region where the bucket is located.\"\"\"\n    try:\n        response = s3_client.get_bucket_location(Bucket=bucket_name)\n        return response.get(\"LocationConstraint\") or \"us-east-1\"\n    except ClientError:\n        return \"unknown\"\n\n\ndef check_public_access_block(s3_client, bucket_name):\n    \"\"\"Checks if Public Access Block is enabled for the bucket.\"\"\"\n    try:\n        response = s3_client.get_public_access_block(Bucket=bucket_name)\n        pab = response.get(\"PublicAccessBlockConfiguration\", {})\n        # If all four are True, it's fully blocked.\n        return all(\n            [\n                pab.get(\"BlockPublicAcls\", False),\n                pab.get(\"IgnorePublicAcls\", False),\n                pab.get(\"BlockPublicPolicy\", False),\n                pab.get(\"RestrictPublicBuckets\", False),\n            ]\n        )\n    except ClientError as e:\n        if e.response[\"Error\"][\"Code\"] == \"NoSuchPublicAccessBlockConfiguration\":\n            return False\n        return \"Error/Forbidden\"\n\n\ndef check_encryption(s3_client, bucket_name):\n    \"\"\"Checks if default encryption is enabled.\"\"\"\n    try:\n        response = s3_client.get_bucket_encryption(Bucket=bucket_name)\n        rules = response.get(\"ServerSideEncryptionConfiguration\", {}).get(\"Rules\", [])\n        if rules:\n            return rules[0].get(\"ApplyServerSideEncryptionByDefault\", {}).get(\n                \"SSEAlgorithm\", \"Enabled\"\n            )\n        return False\n    except ClientError as e:\n        if e.response[\"Error\"][\"Code\"] == \"ServerSideEncryptionConfigurationNotFoundError\":\n            return \"Disabled\"\n        return \"Error/Forbidden\"\n\n\ndef check_versioning(s3_client, bucket_name):\n    \"\"\"Checks if versioning is enabled.\"\"\"\n    try:\n        response = s3_client.get_bucket_versioning(Bucket=bucket_name)\n        return response.get(\"Status\", \"Disabled\")\n    except ClientError:\n        return \"Error/Forbidden\"\n\n\ndef check_lifecycle(s3_client, bucket_name):\n    \"\"\"Checks if lifecycle policies exist.\"\"\"\n    try:\n        s3_client.get_bucket_lifecycle_configuration(Bucket=bucket_name)\n        return \"Enabled\"\n    except ClientError as e:\n        if e.response[\"Error\"][\"Code\"] == \"NoSuchLifecycleConfiguration\":\n            return \"Disabled\"\n        return \"Error/Forbidden\"\n\n\ndef main():\n    get_boto_session()\n    rows_for_sheets = []\n    fieldnames = [\n        \"AccountName\",\n        \"AccountID\",\n        \"BucketName\",\n        \"Region\",\n        \"PublicAccessBlockAll\",\n        \"Encryption\",\n        \"Versioning\",\n        \"LifecyclePolicies\",\n    ]\n\n    filename = \"aws_s3_security_audit.csv\"\n\n    with open(filename, mode=\"w\", newline=\"\") as csvfile:\n        writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n        writer.writeheader()\n\n        for account, profile_name in setup_org_accounts_session():\n            account_id = account[\"Id\"]\n            account_name = account[\"Name\"]\n            print(f\"Auditing S3 for account: {account_name} ({account_id})...\")\n\n            try:\n                boto3.setup_default_session(profile_name=profile_name)\n                s3_global = boto3.client(\"s3\")\n\n                # list_buckets is global\n                try:\n                    buckets_resp = s3_global.list_buckets()\n                except ClientError as e:\n                    print(f\"  Error listing buckets: {e}\")\n                    continue\n\n                for bucket in buckets_resp.get(\"Buckets\", []):\n                    bucket_name = bucket[\"Name\"]\n                    region = get_bucket_region(s3_global, bucket_name)\n\n                    # For S3, it's often better to use a regional client for bucket-specific configs\n                    s3_regional = boto3.client(\"s3\", region_name=region)\n\n                    pab = check_public_access_block(s3_regional, bucket_name)\n                    encryption = check_encryption(s3_regional, bucket_name)\n                    versioning = check_versioning(s3_regional, bucket_name)\n                    lifecycle = check_lifecycle(s3_regional, bucket_name)\n\n                    row = {\n                        \"AccountName\": account_name,\n                        \"AccountID\": account_id,\n                        \"BucketName\": bucket_name,\n                        \"Region\": region,\n                        \"PublicAccessBlockAll\": pab,\n                        \"Encryption\": encryption,\n                        \"Versioning\": versioning,\n                        \"LifecyclePolicies\": lifecycle,\n                    }\n                    writer.writerow(row)\n                    rows_for_sheets.append(list(row.values()))\n\n            except (ClientError, ProfileNotFound) as e:\n                print(f\"  Error accessing account {account_name}: {e}\")\n\n    print(f\"\\nS3 security audit complete. Results saved to {filename}.\")\n\n    # Export to Google Sheets\n    export_to_sheets(\"aws-s3-security-audit\", fieldnames, rows_for_sheets)\n\n\nif __name__ == \"__main__\":\n    main()\n",
            "diffStat": {
              "model_added_lines": 143,
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              "model_added_chars": 5019,
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              "user_removed_lines": 0,
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            "isNewFile": true
          },
          "displayName": "WriteFile",
          "description": "Writes content to a specified file in the local filesystem.\n\n      The user has the ability to modify `content`. If modified, this will be stated in the response.",
          "renderOutputAsMarkdown": true
        }
      ]
    },
    {
      "id": "605b77d8-0667-498b-8a50-37323007d850",
      "timestamp": "2026-03-10T16:54:53.778Z",
      "type": "gemini",
      "content": "I have created the `s3-security-audit.py` script. It performs a comprehensive audit of all S3 buckets across your AWS Organization, checking for:\n\n*   **Public Access Block**: Verifies if all four \"Block Public Access\" settings are enabled at the bucket level.\n*   **Default Encryption**: Reports the SSE algorithm used (e.g., AES256, aws:kms) or if it's disabled.\n*   **Versioning**: Checks if bucket versioning is Enabled, Suspended, or Disabled.\n*   **Lifecycle Policies**: Identifies if the bucket has any lifecycle rules configured.\n*   **Multi-Account/Region**: Iterates through all accounts in your specified OUs and correctly identifies the region for each bucket.\n\nThe results are saved to `aws_s3_security_audit.csv` and automatically exported to Google Sheets if your credentials are configured.\n\nWould you like to try running this script now, or shall we look at implementing another tool from the list?",
      "thoughts": [],
      "tokens": {
        "input": 26937,
        "output": 213,
        "cached": 17187,
        "thoughts": 0,
        "tool": 0,
        "total": 27150
      },
      "model": "gemini-3-flash-preview"
    },
    {
      "id": "cf1e383e-3b79-454c-a7aa-3eaca09928db",
      "timestamp": "2026-03-10T17:14:08.856Z",
      "type": "user",
      "content": [
        {
          "text": "lets do the other security scripts"
        }
      ]
    },
    {
      "id": "762b3eb7-6dd0-46a5-945b-46ef1ac101b9",
      "timestamp": "2026-03-10T17:14:20.865Z",
      "type": "gemini",
      "content": "I will now implement `iam-audit.py`, which will identify IAM users without MFA, inactive users, and stale access keys across all accounts in your organization.",
      "thoughts": [
        {
          "subject": "Evaluating Security Script Goals",
          "description": "I'm currently focused on the user's request to implement the \"other security scripts\" from my prior proposal. I'm revisiting the proposal, specifically the scripts. I'm prioritizing the `iam-audit.py` script, which will scan for non-MFA users, inactivity, and outdated access keys. I then plan to move on to the security group audit.",
          "timestamp": "2026-03-10T17:14:12.786Z"
        },
        {
          "subject": "Considering Script Order and Context",
          "description": "I've re-examined the request to implement the remaining scripts. Initially, I will go with `iam-audit.py` first, then `security-group-audit.py` then `cloudtrail-audit.py`. Also, I am taking into account that the `iam` script is global and requires only one run per account. The `security-group-audit.py` script, on the other hand, is a regional service.",
          "timestamp": "2026-03-10T17:14:17.110Z"
        },
        {
          "subject": "Sequencing Script Implementation Steps",
          "description": "I've reviewed the user's direction and my earlier proposal. I've broken down the implementation plan, focusing on an incremental, one-by-one approach for script creation to enhance quality control. My priority is to start with the `iam-audit.py` script. After that, I will work on `security-group-audit.py`, then `cloudtrail-audit.py`. I'll consider incorporating the `s3-security-audit.py` script I just finished.",
          "timestamp": "2026-03-10T17:14:17.163Z"
        }
      ],
      "tokens": {
        "input": 27167,
        "output": 1261,
        "cached": 0,
        "thoughts": 512,
        "tool": 0,
        "total": 28940
      },
      "model": "gemini-3-flash-preview",
      "toolCalls": [
        {
          "id": "write_file_1773162860861_0",
          "name": "write_file",
          "args": {
            "content": "import boto3\nimport csv\nfrom datetime import datetime, timezone\nfrom botocore.exceptions import ClientError, ProfileNotFound\nfrom aws_utils import setup_org_accounts_session, get_boto_session, export_to_sheets\n\n\ndef get_user_mfa(iam_client, username):\n    \"\"\"Checks if the user has any MFA devices enabled.\"\"\"\n    try:\n        mfa_devices = iam_client.list_mfa_devices(UserName=username)\n        return len(mfa_devices.get(\"MFADevices\", [])) > 0\n    except ClientError:\n        return \"Error\"\n\n\ndef get_access_keys(iam_client, username):\n    \"\"\"Returns information about the user's access keys.\"\"\"\n    keys_info = []\n    try:\n        response = iam_client.list_access_keys(UserName=username)\n        for key in response.get(\"AccessKeyMetadata\", []):\n            key_id = key[\"AccessKeyId\"]\n            status = key[\"Status\"]\n            created_date = key[\"CreateDate\"]\n\n            # Get last used date\n            last_used_resp = iam_client.get_access_key_last_used(AccessKeyId=key_id)\n            last_used = last_used_resp.get(\"AccessKeyLastUsed\", {}).get(\"LastUsedDate\")\n\n            keys_info.append(\n                {\n                    \"AccessKeyId\": key_id,\n                    \"Status\": status,\n                    \"CreatedDate\": created_date.isoformat(),\n                    \"LastUsedDate\": last_used.isoformat() if last_used else \"Never\",\n                }\n            )\n    except ClientError:\n        pass\n    return keys_info\n\n\ndef calculate_days_since(dt):\n    \"\"\"Calculates days between now and the given datetime.\"\"\"\n    if not dt:\n        return None\n    if isinstance(dt, str):\n        try:\n            dt = datetime.fromisoformat(dt.replace(\"Z\", \"+00:00\"))\n        except ValueError:\n            return None\n    now = datetime.now(timezone.utc)\n    return (now - dt).days\n\n\ndef main():\n    get_boto_session()\n    rows_for_sheets = []\n    fieldnames = [\n        \"AccountName\",\n        \"AccountID\",\n        \"UserName\",\n        \"MFAEnabled\",\n        \"PasswordLastUsed\",\n        \"DaysSinceLastLogin\",\n        \"AccessKeyCount\",\n        \"OldestKeyDays\",\n        \"StaleKeys(90d+)\",\n    ]\n\n    filename = \"aws_iam_user_audit.csv\"\n\n    with open(filename, mode=\"w\", newline=\"\") as csvfile:\n        writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n        writer.writeheader()\n\n        for account, profile_name in setup_org_accounts_session():\n            account_id = account[\"Id\"]\n            account_name = account[\"Name\"]\n            print(f\"Auditing IAM for account: {account_name} ({account_id})...\")\n\n            try:\n                boto3.setup_default_session(profile_name=profile_name)\n                iam = boto3.client(\"iam\")\n\n                paginator = iam.get_paginator(\"list_users\")\n                for page in paginator.paginate():\n                    for user in page[\"Users\"]:\n                        username = user[\"UserName\"]\n                        password_last_used = user.get(\"PasswordLastUsed\")\n                        days_since_login = calculate_days_since(password_last_used)\n\n                        mfa_enabled = get_user_mfa(iam, username)\n                        keys = get_access_keys(iam, username)\n\n                        oldest_key_days = 0\n                        stale_keys_count = 0\n                        for key in keys:\n                            created_dt = datetime.fromisoformat(key[\"CreatedDate\"])\n                            days = calculate_days_since(created_dt)\n                            if days > oldest_key_days:\n                                oldest_key_days = days\n                            if days > 90:\n                                stale_keys_count += 1\n\n                        row = {\n                            \"AccountName\": account_name,\n                            \"AccountID\": account_id,\n                            \"UserName\": username,\n                            \"MFAEnabled\": mfa_enabled,\n                            \"PasswordLastUsed\": password_last_used.isoformat()\n                            if password_last_used\n                            else \"Never\",\n                            \"DaysSinceLastLogin\": days_since_login\n                            if days_since_login is not None\n                            else \"N/A\",\n                            \"AccessKeyCount\": len(keys),\n                            \"OldestKeyDays\": oldest_key_days,\n                            \"StaleKeys(90d+)\": stale_keys_count,\n                        }\n                        writer.writerow(row)\n                        rows_for_sheets.append(list(row.values()))\n\n            except (ClientError, ProfileNotFound) as e:\n                print(f\"  Error accessing account {account_name}: {e}\")\n\n    print(f\"\\nIAM audit complete. Results saved to {filename}.\")\n    export_to_sheets(\"aws-iam-audit\", fieldnames, rows_for_sheets)\n\n\nif __name__ == \"__main__\":\n    main()\n",
            "file_path": "iam-audit.py"
          },
          "result": [
            {
              "functionResponse": {
                "id": "write_file_1773162860861_0",
                "name": "write_file",
                "response": {
                  "output": "Successfully created and wrote to new file: /Users/bob/git/dxw/aws-stuff/iam-audit.py. Here is the updated code:\nimport boto3\nimport csv\nfrom datetime import datetime, timezone\nfrom botocore.exceptions import ClientError, ProfileNotFound\nfrom aws_utils import setup_org_accounts_session, get_boto_session, export_to_sheets\n\n\ndef get_user_mfa(iam_client, username):\n    \"\"\"Checks if the user has any MFA devices enabled.\"\"\"\n    try:\n        mfa_devices = iam_client.list_mfa_devices(UserName=username)\n        return len(mfa_devices.get(\"MFADevices\", [])) > 0\n    except ClientError:\n        return \"Error\"\n\n\ndef get_access_keys(iam_client, username):\n    \"\"\"Returns information about the user's access keys.\"\"\"\n    keys_info = []\n    try:\n        response = iam_client.list_access_keys(UserName=username)\n        for key in response.get(\"AccessKeyMetadata\", []):\n            key_id = key[\"AccessKeyId\"]\n            status = key[\"Status\"]\n            created_date = key[\"CreateDate\"]\n\n            # Get last used date\n            last_used_resp = iam_client.get_access_key_last_used(AccessKeyId=key_id)\n            last_used = last_used_resp.get(\"AccessKeyLastUsed\", {}).get(\"LastUsedDate\")\n\n            keys_info.append(\n                {\n                    \"AccessKeyId\": key_id,\n                    \"Status\": status,\n                    \"CreatedDate\": created_date.isoformat(),\n                    \"LastUsedDate\": last_used.isoformat() if last_used else \"Never\",\n                }\n            )\n    except ClientError:\n        pass\n    return keys_info\n\n\ndef calculate_days_since(dt):\n    \"\"\"Calculates days between now and the given datetime.\"\"\"\n    if not dt:\n        return None\n    if isinstance(dt, str):\n        try:\n            dt = datetime.fromisoformat(dt.replace(\"Z\", \"+00:00\"))\n        except ValueError:\n            return None\n    now = datetime.now(timezone.utc)\n    return (now - dt).days\n\n\ndef main():\n    get_boto_session()\n    rows_for_sheets = []\n    fieldnames = [\n        \"AccountName\",\n        \"AccountID\",\n        \"UserName\",\n        \"MFAEnabled\",\n        \"PasswordLastUsed\",\n        \"DaysSinceLastLogin\",\n        \"AccessKeyCount\",\n        \"OldestKeyDays\",\n        \"StaleKeys(90d+)\",\n    ]\n\n    filename = \"aws_iam_user_audit.csv\"\n\n    with open(filename, mode=\"w\", newline=\"\") as csvfile:\n        writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n        writer.writeheader()\n\n        for account, profile_name in setup_org_accounts_session():\n            account_id = account[\"Id\"]\n            account_name = account[\"Name\"]\n            print(f\"Auditing IAM for account: {account_name} ({account_id})...\")\n\n            try:\n                boto3.setup_default_session(profile_name=profile_name)\n                iam = boto3.client(\"iam\")\n\n                paginator = iam.get_paginator(\"list_users\")\n                for page in paginator.paginate():\n                    for user in page[\"Users\"]:\n                        username = user[\"UserName\"]\n                        password_last_used = user.get(\"PasswordLastUsed\")\n                        days_since_login = calculate_days_since(password_last_used)\n\n                        mfa_enabled = get_user_mfa(iam, username)\n                        keys = get_access_keys(iam, username)\n\n                        oldest_key_days = 0\n                        stale_keys_count = 0\n                        for key in keys:\n                            created_dt = datetime.fromisoformat(key[\"CreatedDate\"])\n                            days = calculate_days_since(created_dt)\n                            if days > oldest_key_days:\n                                oldest_key_days = days\n                            if days > 90:\n                                stale_keys_count += 1\n\n                        row = {\n                            \"AccountName\": account_name,\n                            \"AccountID\": account_id,\n                            \"UserName\": username,\n                            \"MFAEnabled\": mfa_enabled,\n                            \"PasswordLastUsed\": password_last_used.isoformat()\n                            if password_last_used\n                            else \"Never\",\n                            \"DaysSinceLastLogin\": days_since_login\n                            if days_since_login is not None\n                            else \"N/A\",\n                            \"AccessKeyCount\": len(keys),\n                            \"OldestKeyDays\": oldest_key_days,\n                            \"StaleKeys(90d+)\": stale_keys_count,\n                        }\n                        writer.writerow(row)\n                        rows_for_sheets.append(list(row.values()))\n\n            except (ClientError, ProfileNotFound) as e:\n                print(f\"  Error accessing account {account_name}: {e}\")\n\n    print(f\"\\nIAM audit complete. Results saved to {filename}.\")\n    export_to_sheets(\"aws-iam-audit\", fieldnames, rows_for_sheets)\n\n\nif __name__ == \"__main__\":\n    main()\n"
                }
              }
            }
          ],
          "status": "success",
          "timestamp": "2026-03-10T17:15:39.093Z",
          "resultDisplay": {
            "fileDiff": "Index: iam-audit.py\n===================================================================\n--- iam-audit.py\tOriginal\n+++ iam-audit.py\tWritten\n@@ -0,0 +1,133 @@\n+import boto3\n+import csv\n+from datetime import datetime, timezone\n+from botocore.exceptions import ClientError, ProfileNotFound\n+from aws_utils import setup_org_accounts_session, get_boto_session, export_to_sheets\n+\n+\n+def get_user_mfa(iam_client, username):\n+    \"\"\"Checks if the user has any MFA devices enabled.\"\"\"\n+    try:\n+        mfa_devices = iam_client.list_mfa_devices(UserName=username)\n+        return len(mfa_devices.get(\"MFADevices\", [])) > 0\n+    except ClientError:\n+        return \"Error\"\n+\n+\n+def get_access_keys(iam_client, username):\n+    \"\"\"Returns information about the user's access keys.\"\"\"\n+    keys_info = []\n+    try:\n+        response = iam_client.list_access_keys(UserName=username)\n+        for key in response.get(\"AccessKeyMetadata\", []):\n+            key_id = key[\"AccessKeyId\"]\n+            status = key[\"Status\"]\n+            created_date = key[\"CreateDate\"]\n+\n+            # Get last used date\n+            last_used_resp = iam_client.get_access_key_last_used(AccessKeyId=key_id)\n+            last_used = last_used_resp.get(\"AccessKeyLastUsed\", {}).get(\"LastUsedDate\")\n+\n+            keys_info.append(\n+                {\n+                    \"AccessKeyId\": key_id,\n+                    \"Status\": status,\n+                    \"CreatedDate\": created_date.isoformat(),\n+                    \"LastUsedDate\": last_used.isoformat() if last_used else \"Never\",\n+                }\n+            )\n+    except ClientError:\n+        pass\n+    return keys_info\n+\n+\n+def calculate_days_since(dt):\n+    \"\"\"Calculates days between now and the given datetime.\"\"\"\n+    if not dt:\n+        return None\n+    if isinstance(dt, str):\n+        try:\n+            dt = datetime.fromisoformat(dt.replace(\"Z\", \"+00:00\"))\n+        except ValueError:\n+            return None\n+    now = datetime.now(timezone.utc)\n+    return (now - dt).days\n+\n+\n+def main():\n+    get_boto_session()\n+    rows_for_sheets = []\n+    fieldnames = [\n+        \"AccountName\",\n+        \"AccountID\",\n+        \"UserName\",\n+        \"MFAEnabled\",\n+        \"PasswordLastUsed\",\n+        \"DaysSinceLastLogin\",\n+        \"AccessKeyCount\",\n+        \"OldestKeyDays\",\n+        \"StaleKeys(90d+)\",\n+    ]\n+\n+    filename = \"aws_iam_user_audit.csv\"\n+\n+    with open(filename, mode=\"w\", newline=\"\") as csvfile:\n+        writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n+        writer.writeheader()\n+\n+        for account, profile_name in setup_org_accounts_session():\n+            account_id = account[\"Id\"]\n+            account_name = account[\"Name\"]\n+            print(f\"Auditing IAM for account: {account_name} ({account_id})...\")\n+\n+            try:\n+                boto3.setup_default_session(profile_name=profile_name)\n+                iam = boto3.client(\"iam\")\n+\n+                paginator = iam.get_paginator(\"list_users\")\n+                for page in paginator.paginate():\n+                    for user in page[\"Users\"]:\n+                        username = user[\"UserName\"]\n+                        password_last_used = user.get(\"PasswordLastUsed\")\n+                        days_since_login = calculate_days_since(password_last_used)\n+\n+                        mfa_enabled = get_user_mfa(iam, username)\n+                        keys = get_access_keys(iam, username)\n+\n+                        oldest_key_days = 0\n+                        stale_keys_count = 0\n+                        for key in keys:\n+                            created_dt = datetime.fromisoformat(key[\"CreatedDate\"])\n+                            days = calculate_days_since(created_dt)\n+                            if days > oldest_key_days:\n+                                oldest_key_days = days\n+                            if days > 90:\n+                                stale_keys_count += 1\n+\n+                        row = {\n+                            \"AccountName\": account_name,\n+                            \"AccountID\": account_id,\n+                            \"UserName\": username,\n+                            \"MFAEnabled\": mfa_enabled,\n+                            \"PasswordLastUsed\": password_last_used.isoformat()\n+                            if password_last_used\n+                            else \"Never\",\n+                            \"DaysSinceLastLogin\": days_since_login\n+                            if days_since_login is not None\n+                            else \"N/A\",\n+                            \"AccessKeyCount\": len(keys),\n+                            \"OldestKeyDays\": oldest_key_days,\n+                            \"StaleKeys(90d+)\": stale_keys_count,\n+                        }\n+                        writer.writerow(row)\n+                        rows_for_sheets.append(list(row.values()))\n+\n+            except (ClientError, ProfileNotFound) as e:\n+                print(f\"  Error accessing account {account_name}: {e}\")\n+\n+    print(f\"\\nIAM audit complete. Results saved to {filename}.\")\n+    export_to_sheets(\"aws-iam-audit\", fieldnames, rows_for_sheets)\n+\n+\n+if __name__ == \"__main__\":\n+    main()\n",
            "fileName": "iam-audit.py",
            "filePath": "/Users/bob/git/dxw/aws-stuff/iam-audit.py",
            "originalContent": "",
            "newContent": "import boto3\nimport csv\nfrom datetime import datetime, timezone\nfrom botocore.exceptions import ClientError, ProfileNotFound\nfrom aws_utils import setup_org_accounts_session, get_boto_session, export_to_sheets\n\n\ndef get_user_mfa(iam_client, username):\n    \"\"\"Checks if the user has any MFA devices enabled.\"\"\"\n    try:\n        mfa_devices = iam_client.list_mfa_devices(UserName=username)\n        return len(mfa_devices.get(\"MFADevices\", [])) > 0\n    except ClientError:\n        return \"Error\"\n\n\ndef get_access_keys(iam_client, username):\n    \"\"\"Returns information about the user's access keys.\"\"\"\n    keys_info = []\n    try:\n        response = iam_client.list_access_keys(UserName=username)\n        for key in response.get(\"AccessKeyMetadata\", []):\n            key_id = key[\"AccessKeyId\"]\n            status = key[\"Status\"]\n            created_date = key[\"CreateDate\"]\n\n            # Get last used date\n            last_used_resp = iam_client.get_access_key_last_used(AccessKeyId=key_id)\n            last_used = last_used_resp.get(\"AccessKeyLastUsed\", {}).get(\"LastUsedDate\")\n\n            keys_info.append(\n                {\n                    \"AccessKeyId\": key_id,\n                    \"Status\": status,\n                    \"CreatedDate\": created_date.isoformat(),\n                    \"LastUsedDate\": last_used.isoformat() if last_used else \"Never\",\n                }\n            )\n    except ClientError:\n        pass\n    return keys_info\n\n\ndef calculate_days_since(dt):\n    \"\"\"Calculates days between now and the given datetime.\"\"\"\n    if not dt:\n        return None\n    if isinstance(dt, str):\n        try:\n            dt = datetime.fromisoformat(dt.replace(\"Z\", \"+00:00\"))\n        except ValueError:\n            return None\n    now = datetime.now(timezone.utc)\n    return (now - dt).days\n\n\ndef main():\n    get_boto_session()\n    rows_for_sheets = []\n    fieldnames = [\n        \"AccountName\",\n        \"AccountID\",\n        \"UserName\",\n        \"MFAEnabled\",\n        \"PasswordLastUsed\",\n        \"DaysSinceLastLogin\",\n        \"AccessKeyCount\",\n        \"OldestKeyDays\",\n        \"StaleKeys(90d+)\",\n    ]\n\n    filename = \"aws_iam_user_audit.csv\"\n\n    with open(filename, mode=\"w\", newline=\"\") as csvfile:\n        writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n        writer.writeheader()\n\n        for account, profile_name in setup_org_accounts_session():\n            account_id = account[\"Id\"]\n            account_name = account[\"Name\"]\n            print(f\"Auditing IAM for account: {account_name} ({account_id})...\")\n\n            try:\n                boto3.setup_default_session(profile_name=profile_name)\n                iam = boto3.client(\"iam\")\n\n                paginator = iam.get_paginator(\"list_users\")\n                for page in paginator.paginate():\n                    for user in page[\"Users\"]:\n                        username = user[\"UserName\"]\n                        password_last_used = user.get(\"PasswordLastUsed\")\n                        days_since_login = calculate_days_since(password_last_used)\n\n                        mfa_enabled = get_user_mfa(iam, username)\n                        keys = get_access_keys(iam, username)\n\n                        oldest_key_days = 0\n                        stale_keys_count = 0\n                        for key in keys:\n                            created_dt = datetime.fromisoformat(key[\"CreatedDate\"])\n                            days = calculate_days_since(created_dt)\n                            if days > oldest_key_days:\n                                oldest_key_days = days\n                            if days > 90:\n                                stale_keys_count += 1\n\n                        row = {\n                            \"AccountName\": account_name,\n                            \"AccountID\": account_id,\n                            \"UserName\": username,\n                            \"MFAEnabled\": mfa_enabled,\n                            \"PasswordLastUsed\": password_last_used.isoformat()\n                            if password_last_used\n                            else \"Never\",\n                            \"DaysSinceLastLogin\": days_since_login\n                            if days_since_login is not None\n                            else \"N/A\",\n                            \"AccessKeyCount\": len(keys),\n                            \"OldestKeyDays\": oldest_key_days,\n                            \"StaleKeys(90d+)\": stale_keys_count,\n                        }\n                        writer.writerow(row)\n                        rows_for_sheets.append(list(row.values()))\n\n            except (ClientError, ProfileNotFound) as e:\n                print(f\"  Error accessing account {account_name}: {e}\")\n\n    print(f\"\\nIAM audit complete. Results saved to {filename}.\")\n    export_to_sheets(\"aws-iam-audit\", fieldnames, rows_for_sheets)\n\n\nif __name__ == \"__main__\":\n    main()\n",
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    {
      "id": "366e5e1b-6888-45dc-921c-49400ecf41bd",
      "timestamp": "2026-03-10T17:15:47.893Z",
      "type": "gemini",
      "content": "I have implemented `iam-audit.py`. I will now proceed with `security-group-audit.py` to identify permissive firewall rules.",
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            "content": "import boto3\nimport csv\nfrom botocore.exceptions import ClientError, ProfileNotFound\nfrom aws_utils import setup_org_accounts_session, get_boto_session, export_to_sheets\n\n\ndef is_permissive(rule):\n    \"\"\"Checks if a rule allows 0.0.0.0/0 or ::/0 access.\"\"\"\n    for ip_range in rule.get(\"IpRanges\", []):\n        if ip_range.get(\"CidrIp\") == \"0.0.0.0/0\":\n            return True\n    for ipv6_range in rule.get(\"Ipv6Ranges\", []):\n        if ipv6_range.get(\"CidrIpv6\") == \"::/0\":\n            return True\n    return False\n\n\ndef get_sg_rules(ec2_client):\n    \"\"\"List all security group rules that are publicly accessible.\"\"\"\n    permissive_rules = []\n    try:\n        response = ec2_client.describe_security_groups()\n        for sg in response.get(\"SecurityGroups\", []):\n            sg_id = sg[\"GroupId\"]\n            sg_name = sg.get(\"GroupName\", \"N/A\")\n\n            for permission in sg.get(\"IpPermissions\", []):\n                if is_permissive(permission):\n                    protocol = permission.get(\"IpProtocol\")\n                    from_port = permission.get(\"FromPort\", \"All\")\n                    to_port = permission.get(\"ToPort\", \"All\")\n\n                    # Handle -1 for all protocols\n                    if protocol == \"-1\":\n                        protocol = \"All\"\n\n                    permissive_rules.append(\n                        {\n                            \"GroupId\": sg_id,\n                            \"GroupName\": sg_name,\n                            \"Protocol\": protocol,\n                            \"FromPort\": from_port,\n                            \"ToPort\": to_port,\n                        }\n                    )\n    except ClientError:\n        pass\n    return permissive_rules\n\n\ndef main():\n    get_boto_session()\n    regions_to_check = [\"eu-west-1\", \"eu-west-2\"]\n    rows_for_sheets = []\n    fieldnames = [\n        \"AccountName\",\n        \"AccountID\",\n        \"Region\",\n        \"GroupId\",\n        \"GroupName\",\n        \"Protocol\",\n        \"FromPort\",\n        \"ToPort\",\n    ]\n\n    filename = \"aws_security_group_audit.csv\"\n\n    with open(filename, mode=\"w\", newline=\"\") as csvfile:\n        writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n        writer.writeheader()\n\n        for account, profile_name in setup_org_accounts_session():\n            account_id = account[\"Id\"]\n            account_name = account[\"Name\"]\n            print(f\"Auditing SGs for account: {account_name} ({account_id})...\")\n\n            try:\n                boto3.setup_default_session(profile_name=profile_name)\n\n                for region in regions_to_check:\n                    try:\n                        ec2 = boto3.client(\"ec2\", region_name=region)\n                        rules = get_sg_rules(ec2)\n\n                        for rule in rules:\n                            row = {\n                                \"AccountName\": account_name,\n                                \"AccountID\": account_id,\n                                \"Region\": region,\n                                \"GroupId\": rule[\"GroupId\"],\n                                \"GroupName\": rule[\"GroupName\"],\n                                \"Protocol\": rule[\"Protocol\"],\n                                \"FromPort\": rule[\"FromPort\"],\n                                \"ToPort\": rule[\"ToPort\"],\n                            }\n                            writer.writerow(row)\n                            rows_for_sheets.append(list(row.values()))\n\n                    except ClientError as e:\n                        print(f\"  Error in {region} for {account_name}: {e}\")\n\n            except (ClientError, ProfileNotFound) as e:\n                print(f\"  Error accessing account {account_name}: {e}\")\n\n    print(f\"\\nSecurity Group audit complete. Results saved to {filename}.\")\n    export_to_sheets(\"aws-security-group-audit\", fieldnames, rows_for_sheets)\n\n\nif __name__ == \"__main__\":\n    main()\n",
            "file_path": "security-group-audit.py"
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                  "output": "Successfully created and wrote to new file: /Users/bob/git/dxw/aws-stuff/security-group-audit.py. Here is the updated code:\nimport boto3\nimport csv\nfrom botocore.exceptions import ClientError, ProfileNotFound\nfrom aws_utils import setup_org_accounts_session, get_boto_session, export_to_sheets\n\n\ndef is_permissive(rule):\n    \"\"\"Checks if a rule allows 0.0.0.0/0 or ::/0 access.\"\"\"\n    for ip_range in rule.get(\"IpRanges\", []):\n        if ip_range.get(\"CidrIp\") == \"0.0.0.0/0\":\n            return True\n    for ipv6_range in rule.get(\"Ipv6Ranges\", []):\n        if ipv6_range.get(\"CidrIpv6\") == \"::/0\":\n            return True\n    return False\n\n\ndef get_sg_rules(ec2_client):\n    \"\"\"List all security group rules that are publicly accessible.\"\"\"\n    permissive_rules = []\n    try:\n        response = ec2_client.describe_security_groups()\n        for sg in response.get(\"SecurityGroups\", []):\n            sg_id = sg[\"GroupId\"]\n            sg_name = sg.get(\"GroupName\", \"N/A\")\n\n            for permission in sg.get(\"IpPermissions\", []):\n                if is_permissive(permission):\n                    protocol = permission.get(\"IpProtocol\")\n                    from_port = permission.get(\"FromPort\", \"All\")\n                    to_port = permission.get(\"ToPort\", \"All\")\n\n                    # Handle -1 for all protocols\n                    if protocol == \"-1\":\n                        protocol = \"All\"\n\n                    permissive_rules.append(\n                        {\n                            \"GroupId\": sg_id,\n                            \"GroupName\": sg_name,\n                            \"Protocol\": protocol,\n                            \"FromPort\": from_port,\n                            \"ToPort\": to_port,\n                        }\n                    )\n    except ClientError:\n        pass\n    return permissive_rules\n\n\ndef main():\n    get_boto_session()\n    regions_to_check = [\"eu-west-1\", \"eu-west-2\"]\n    rows_for_sheets = []\n    fieldnames = [\n        \"AccountName\",\n        \"AccountID\",\n        \"Region\",\n        \"GroupId\",\n        \"GroupName\",\n        \"Protocol\",\n        \"FromPort\",\n        \"ToPort\",\n    ]\n\n    filename = \"aws_security_group_audit.csv\"\n\n    with open(filename, mode=\"w\", newline=\"\") as csvfile:\n        writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n        writer.writeheader()\n\n        for account, profile_name in setup_org_accounts_session():\n            account_id = account[\"Id\"]\n            account_name = account[\"Name\"]\n            print(f\"Auditing SGs for account: {account_name} ({account_id})...\")\n\n            try:\n                boto3.setup_default_session(profile_name=profile_name)\n\n                for region in regions_to_check:\n                    try:\n                        ec2 = boto3.client(\"ec2\", region_name=region)\n                        rules = get_sg_rules(ec2)\n\n                        for rule in rules:\n                            row = {\n                                \"AccountName\": account_name,\n                                \"AccountID\": account_id,\n                                \"Region\": region,\n                                \"GroupId\": rule[\"GroupId\"],\n                                \"GroupName\": rule[\"GroupName\"],\n                                \"Protocol\": rule[\"Protocol\"],\n                                \"FromPort\": rule[\"FromPort\"],\n                                \"ToPort\": rule[\"ToPort\"],\n                            }\n                            writer.writerow(row)\n                            rows_for_sheets.append(list(row.values()))\n\n                    except ClientError as e:\n                        print(f\"  Error in {region} for {account_name}: {e}\")\n\n            except (ClientError, ProfileNotFound) as e:\n                print(f\"  Error accessing account {account_name}: {e}\")\n\n    print(f\"\\nSecurity Group audit complete. Results saved to {filename}.\")\n    export_to_sheets(\"aws-security-group-audit\", fieldnames, rows_for_sheets)\n\n\nif __name__ == \"__main__\":\n    main()\n"
                }
              }
            }
          ],
          "status": "success",
          "timestamp": "2026-03-10T17:16:12.641Z",
          "resultDisplay": {
            "fileDiff": "Index: security-group-audit.py\n===================================================================\n--- security-group-audit.py\tOriginal\n+++ security-group-audit.py\tWritten\n@@ -0,0 +1,110 @@\n+import boto3\n+import csv\n+from botocore.exceptions import ClientError, ProfileNotFound\n+from aws_utils import setup_org_accounts_session, get_boto_session, export_to_sheets\n+\n+\n+def is_permissive(rule):\n+    \"\"\"Checks if a rule allows 0.0.0.0/0 or ::/0 access.\"\"\"\n+    for ip_range in rule.get(\"IpRanges\", []):\n+        if ip_range.get(\"CidrIp\") == \"0.0.0.0/0\":\n+            return True\n+    for ipv6_range in rule.get(\"Ipv6Ranges\", []):\n+        if ipv6_range.get(\"CidrIpv6\") == \"::/0\":\n+            return True\n+    return False\n+\n+\n+def get_sg_rules(ec2_client):\n+    \"\"\"List all security group rules that are publicly accessible.\"\"\"\n+    permissive_rules = []\n+    try:\n+        response = ec2_client.describe_security_groups()\n+        for sg in response.get(\"SecurityGroups\", []):\n+            sg_id = sg[\"GroupId\"]\n+            sg_name = sg.get(\"GroupName\", \"N/A\")\n+\n+            for permission in sg.get(\"IpPermissions\", []):\n+                if is_permissive(permission):\n+                    protocol = permission.get(\"IpProtocol\")\n+                    from_port = permission.get(\"FromPort\", \"All\")\n+                    to_port = permission.get(\"ToPort\", \"All\")\n+\n+                    # Handle -1 for all protocols\n+                    if protocol == \"-1\":\n+                        protocol = \"All\"\n+\n+                    permissive_rules.append(\n+                        {\n+                            \"GroupId\": sg_id,\n+                            \"GroupName\": sg_name,\n+                            \"Protocol\": protocol,\n+                            \"FromPort\": from_port,\n+                            \"ToPort\": to_port,\n+                        }\n+                    )\n+    except ClientError:\n+        pass\n+    return permissive_rules\n+\n+\n+def main():\n+    get_boto_session()\n+    regions_to_check = [\"eu-west-1\", \"eu-west-2\"]\n+    rows_for_sheets = []\n+    fieldnames = [\n+        \"AccountName\",\n+        \"AccountID\",\n+        \"Region\",\n+        \"GroupId\",\n+        \"GroupName\",\n+        \"Protocol\",\n+        \"FromPort\",\n+        \"ToPort\",\n+    ]\n+\n+    filename = \"aws_security_group_audit.csv\"\n+\n+    with open(filename, mode=\"w\", newline=\"\") as csvfile:\n+        writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n+        writer.writeheader()\n+\n+        for account, profile_name in setup_org_accounts_session():\n+            account_id = account[\"Id\"]\n+            account_name = account[\"Name\"]\n+            print(f\"Auditing SGs for account: {account_name} ({account_id})...\")\n+\n+            try:\n+                boto3.setup_default_session(profile_name=profile_name)\n+\n+                for region in regions_to_check:\n+                    try:\n+                        ec2 = boto3.client(\"ec2\", region_name=region)\n+                        rules = get_sg_rules(ec2)\n+\n+                        for rule in rules:\n+                            row = {\n+                                \"AccountName\": account_name,\n+                                \"AccountID\": account_id,\n+                                \"Region\": region,\n+                                \"GroupId\": rule[\"GroupId\"],\n+                                \"GroupName\": rule[\"GroupName\"],\n+                                \"Protocol\": rule[\"Protocol\"],\n+                                \"FromPort\": rule[\"FromPort\"],\n+                                \"ToPort\": rule[\"ToPort\"],\n+                            }\n+                            writer.writerow(row)\n+                            rows_for_sheets.append(list(row.values()))\n+\n+                    except ClientError as e:\n+                        print(f\"  Error in {region} for {account_name}: {e}\")\n+\n+            except (ClientError, ProfileNotFound) as e:\n+                print(f\"  Error accessing account {account_name}: {e}\")\n+\n+    print(f\"\\nSecurity Group audit complete. Results saved to {filename}.\")\n+    export_to_sheets(\"aws-security-group-audit\", fieldnames, rows_for_sheets)\n+\n+\n+if __name__ == \"__main__\":\n+    main()\n",
            "fileName": "security-group-audit.py",
            "filePath": "/Users/bob/git/dxw/aws-stuff/security-group-audit.py",
            "originalContent": "",
            "newContent": "import boto3\nimport csv\nfrom botocore.exceptions import ClientError, ProfileNotFound\nfrom aws_utils import setup_org_accounts_session, get_boto_session, export_to_sheets\n\n\ndef is_permissive(rule):\n    \"\"\"Checks if a rule allows 0.0.0.0/0 or ::/0 access.\"\"\"\n    for ip_range in rule.get(\"IpRanges\", []):\n        if ip_range.get(\"CidrIp\") == \"0.0.0.0/0\":\n            return True\n    for ipv6_range in rule.get(\"Ipv6Ranges\", []):\n        if ipv6_range.get(\"CidrIpv6\") == \"::/0\":\n            return True\n    return False\n\n\ndef get_sg_rules(ec2_client):\n    \"\"\"List all security group rules that are publicly accessible.\"\"\"\n    permissive_rules = []\n    try:\n        response = ec2_client.describe_security_groups()\n        for sg in response.get(\"SecurityGroups\", []):\n            sg_id = sg[\"GroupId\"]\n            sg_name = sg.get(\"GroupName\", \"N/A\")\n\n            for permission in sg.get(\"IpPermissions\", []):\n                if is_permissive(permission):\n                    protocol = permission.get(\"IpProtocol\")\n                    from_port = permission.get(\"FromPort\", \"All\")\n                    to_port = permission.get(\"ToPort\", \"All\")\n\n                    # Handle -1 for all protocols\n                    if protocol == \"-1\":\n                        protocol = \"All\"\n\n                    permissive_rules.append(\n                        {\n                            \"GroupId\": sg_id,\n                            \"GroupName\": sg_name,\n                            \"Protocol\": protocol,\n                            \"FromPort\": from_port,\n                            \"ToPort\": to_port,\n                        }\n                    )\n    except ClientError:\n        pass\n    return permissive_rules\n\n\ndef main():\n    get_boto_session()\n    regions_to_check = [\"eu-west-1\", \"eu-west-2\"]\n    rows_for_sheets = []\n    fieldnames = [\n        \"AccountName\",\n        \"AccountID\",\n        \"Region\",\n        \"GroupId\",\n        \"GroupName\",\n        \"Protocol\",\n        \"FromPort\",\n        \"ToPort\",\n    ]\n\n    filename = \"aws_security_group_audit.csv\"\n\n    with open(filename, mode=\"w\", newline=\"\") as csvfile:\n        writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n        writer.writeheader()\n\n        for account, profile_name in setup_org_accounts_session():\n            account_id = account[\"Id\"]\n            account_name = account[\"Name\"]\n            print(f\"Auditing SGs for account: {account_name} ({account_id})...\")\n\n            try:\n                boto3.setup_default_session(profile_name=profile_name)\n\n                for region in regions_to_check:\n                    try:\n                        ec2 = boto3.client(\"ec2\", region_name=region)\n                        rules = get_sg_rules(ec2)\n\n                        for rule in rules:\n                            row = {\n                                \"AccountName\": account_name,\n                                \"AccountID\": account_id,\n                                \"Region\": region,\n                                \"GroupId\": rule[\"GroupId\"],\n                                \"GroupName\": rule[\"GroupName\"],\n                                \"Protocol\": rule[\"Protocol\"],\n                                \"FromPort\": rule[\"FromPort\"],\n                                \"ToPort\": rule[\"ToPort\"],\n                            }\n                            writer.writerow(row)\n                            rows_for_sheets.append(list(row.values()))\n\n                    except ClientError as e:\n                        print(f\"  Error in {region} for {account_name}: {e}\")\n\n            except (ClientError, ProfileNotFound) as e:\n                print(f\"  Error accessing account {account_name}: {e}\")\n\n    print(f\"\\nSecurity Group audit complete. Results saved to {filename}.\")\n    export_to_sheets(\"aws-security-group-audit\", fieldnames, rows_for_sheets)\n\n\nif __name__ == \"__main__\":\n    main()\n",
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    {
      "id": "c7cc165e-18a9-4190-9b77-fffc3537c66f",
      "timestamp": "2026-03-10T17:16:17.995Z",
      "type": "gemini",
      "content": "I have implemented `security-group-audit.py`. I will now complete the set with `cloudtrail-audit.py` to verify logging status across the organization.",
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            "content": "import boto3\nimport csv\nfrom botocore.exceptions import ClientError, ProfileNotFound\nfrom aws_utils import setup_org_accounts_session, get_boto_session, export_to_sheets\n\n\ndef get_trail_status(trail_client, name):\n    \"\"\"Checks if the trail is logging correctly.\"\"\"\n    try:\n        response = trail_client.get_trail_status(Name=name)\n        return response.get(\"IsLogging\", False)\n    except ClientError:\n        return \"Error\"\n\n\ndef main():\n    get_boto_session()\n    regions_to_check = [\"eu-west-1\", \"eu-west-2\"]\n    rows_for_sheets = []\n    fieldnames = [\n        \"AccountName\",\n        \"AccountID\",\n        \"Region\",\n        \"TrailName\",\n        \"HomeRegion\",\n        \"IsMultiRegion\",\n        \"IsLogging\",\n        \"KmsKeyId\",\n    ]\n\n    filename = \"aws_cloudtrail_audit.csv\"\n\n    with open(filename, mode=\"w\", newline=\"\") as csvfile:\n        writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n        writer.writeheader()\n\n        for account, profile_name in setup_org_accounts_session():\n            account_id = account[\"Id\"]\n            account_name = account[\"Name\"]\n            print(f\"Auditing CloudTrail for account: {account_name} ({account_id})...\")\n\n            try:\n                boto3.setup_default_session(profile_name=profile_name)\n\n                for region in regions_to_check:\n                    try:\n                        ct = boto3.client(\"cloudtrail\", region_name=region)\n                        response = ct.describe_trails()\n\n                        for trail in response.get(\"trailList\", []):\n                            name = trail[\"Name\"]\n                            home_region = trail[\"HomeRegion\"]\n                            is_multi = trail[\"IsMultiRegionTrail\"]\n                            kms_key = trail.get(\"KmsKeyId\", \"Disabled\")\n                            is_logging = get_trail_status(ct, trail[\"TrailARN\"])\n\n                            row = {\n                                \"AccountName\": account_name,\n                                \"AccountID\": account_id,\n                                \"Region\": region,\n                                \"TrailName\": name,\n                                \"HomeRegion\": home_region,\n                                \"IsMultiRegion\": is_multi,\n                                \"IsLogging\": is_logging,\n                                \"KmsKeyId\": kms_key,\n                            }\n                            writer.writerow(row)\n                            rows_for_sheets.append(list(row.values()))\n\n                    except ClientError as e:\n                        print(f\"  Error in {region} for {account_name}: {e}\")\n\n            except (ClientError, ProfileNotFound) as e:\n                print(f\"  Error accessing account {account_name}: {e}\")\n\n    print(f\"\\nCloudTrail audit complete. Results saved to {filename}.\")\n    export_to_sheets(\"aws-cloudtrail-audit\", fieldnames, rows_for_sheets)\n\n\nif __name__ == \"__main__\":\n    main()\n",
            "file_path": "cloudtrail-audit.py"
          },
          "result": [
            {
              "functionResponse": {
                "id": "write_file_1773162977991_0",
                "name": "write_file",
                "response": {
                  "output": "Successfully created and wrote to new file: /Users/bob/git/dxw/aws-stuff/cloudtrail-audit.py. Here is the updated code:\nimport boto3\nimport csv\nfrom botocore.exceptions import ClientError, ProfileNotFound\nfrom aws_utils import setup_org_accounts_session, get_boto_session, export_to_sheets\n\n\ndef get_trail_status(trail_client, name):\n    \"\"\"Checks if the trail is logging correctly.\"\"\"\n    try:\n        response = trail_client.get_trail_status(Name=name)\n        return response.get(\"IsLogging\", False)\n    except ClientError:\n        return \"Error\"\n\n\ndef main():\n    get_boto_session()\n    regions_to_check = [\"eu-west-1\", \"eu-west-2\"]\n    rows_for_sheets = []\n    fieldnames = [\n        \"AccountName\",\n        \"AccountID\",\n        \"Region\",\n        \"TrailName\",\n        \"HomeRegion\",\n        \"IsMultiRegion\",\n        \"IsLogging\",\n        \"KmsKeyId\",\n    ]\n\n    filename = \"aws_cloudtrail_audit.csv\"\n\n    with open(filename, mode=\"w\", newline=\"\") as csvfile:\n        writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n        writer.writeheader()\n\n        for account, profile_name in setup_org_accounts_session():\n            account_id = account[\"Id\"]\n            account_name = account[\"Name\"]\n            print(f\"Auditing CloudTrail for account: {account_name} ({account_id})...\")\n\n            try:\n                boto3.setup_default_session(profile_name=profile_name)\n\n                for region in regions_to_check:\n                    try:\n                        ct = boto3.client(\"cloudtrail\", region_name=region)\n                        response = ct.describe_trails()\n\n                        for trail in response.get(\"trailList\", []):\n                            name = trail[\"Name\"]\n                            home_region = trail[\"HomeRegion\"]\n                            is_multi = trail[\"IsMultiRegionTrail\"]\n                            kms_key = trail.get(\"KmsKeyId\", \"Disabled\")\n                            is_logging = get_trail_status(ct, trail[\"TrailARN\"])\n\n                            row = {\n                                \"AccountName\": account_name,\n                                \"AccountID\": account_id,\n                                \"Region\": region,\n                                \"TrailName\": name,\n                                \"HomeRegion\": home_region,\n                                \"IsMultiRegion\": is_multi,\n                                \"IsLogging\": is_logging,\n                                \"KmsKeyId\": kms_key,\n                            }\n                            writer.writerow(row)\n                            rows_for_sheets.append(list(row.values()))\n\n                    except ClientError as e:\n                        print(f\"  Error in {region} for {account_name}: {e}\")\n\n            except (ClientError, ProfileNotFound) as e:\n                print(f\"  Error accessing account {account_name}: {e}\")\n\n    print(f\"\\nCloudTrail audit complete. Results saved to {filename}.\")\n    export_to_sheets(\"aws-cloudtrail-audit\", fieldnames, rows_for_sheets)\n\n\nif __name__ == \"__main__\":\n    main()\n"
                }
              }
            }
          ],
          "status": "success",
          "timestamp": "2026-03-10T17:16:24.275Z",
          "resultDisplay": {
            "fileDiff": "Index: cloudtrail-audit.py\n===================================================================\n--- cloudtrail-audit.py\tOriginal\n+++ cloudtrail-audit.py\tWritten\n@@ -0,0 +1,81 @@\n+import boto3\n+import csv\n+from botocore.exceptions import ClientError, ProfileNotFound\n+from aws_utils import setup_org_accounts_session, get_boto_session, export_to_sheets\n+\n+\n+def get_trail_status(trail_client, name):\n+    \"\"\"Checks if the trail is logging correctly.\"\"\"\n+    try:\n+        response = trail_client.get_trail_status(Name=name)\n+        return response.get(\"IsLogging\", False)\n+    except ClientError:\n+        return \"Error\"\n+\n+\n+def main():\n+    get_boto_session()\n+    regions_to_check = [\"eu-west-1\", \"eu-west-2\"]\n+    rows_for_sheets = []\n+    fieldnames = [\n+        \"AccountName\",\n+        \"AccountID\",\n+        \"Region\",\n+        \"TrailName\",\n+        \"HomeRegion\",\n+        \"IsMultiRegion\",\n+        \"IsLogging\",\n+        \"KmsKeyId\",\n+    ]\n+\n+    filename = \"aws_cloudtrail_audit.csv\"\n+\n+    with open(filename, mode=\"w\", newline=\"\") as csvfile:\n+        writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n+        writer.writeheader()\n+\n+        for account, profile_name in setup_org_accounts_session():\n+            account_id = account[\"Id\"]\n+            account_name = account[\"Name\"]\n+            print(f\"Auditing CloudTrail for account: {account_name} ({account_id})...\")\n+\n+            try:\n+                boto3.setup_default_session(profile_name=profile_name)\n+\n+                for region in regions_to_check:\n+                    try:\n+                        ct = boto3.client(\"cloudtrail\", region_name=region)\n+                        response = ct.describe_trails()\n+\n+                        for trail in response.get(\"trailList\", []):\n+                            name = trail[\"Name\"]\n+                            home_region = trail[\"HomeRegion\"]\n+                            is_multi = trail[\"IsMultiRegionTrail\"]\n+                            kms_key = trail.get(\"KmsKeyId\", \"Disabled\")\n+                            is_logging = get_trail_status(ct, trail[\"TrailARN\"])\n+\n+                            row = {\n+                                \"AccountName\": account_name,\n+                                \"AccountID\": account_id,\n+                                \"Region\": region,\n+                                \"TrailName\": name,\n+                                \"HomeRegion\": home_region,\n+                                \"IsMultiRegion\": is_multi,\n+                                \"IsLogging\": is_logging,\n+                                \"KmsKeyId\": kms_key,\n+                            }\n+                            writer.writerow(row)\n+                            rows_for_sheets.append(list(row.values()))\n+\n+                    except ClientError as e:\n+                        print(f\"  Error in {region} for {account_name}: {e}\")\n+\n+            except (ClientError, ProfileNotFound) as e:\n+                print(f\"  Error accessing account {account_name}: {e}\")\n+\n+    print(f\"\\nCloudTrail audit complete. Results saved to {filename}.\")\n+    export_to_sheets(\"aws-cloudtrail-audit\", fieldnames, rows_for_sheets)\n+\n+\n+if __name__ == \"__main__\":\n+    main()\n",
            "fileName": "cloudtrail-audit.py",
            "filePath": "/Users/bob/git/dxw/aws-stuff/cloudtrail-audit.py",
            "originalContent": "",
            "newContent": "import boto3\nimport csv\nfrom botocore.exceptions import ClientError, ProfileNotFound\nfrom aws_utils import setup_org_accounts_session, get_boto_session, export_to_sheets\n\n\ndef get_trail_status(trail_client, name):\n    \"\"\"Checks if the trail is logging correctly.\"\"\"\n    try:\n        response = trail_client.get_trail_status(Name=name)\n        return response.get(\"IsLogging\", False)\n    except ClientError:\n        return \"Error\"\n\n\ndef main():\n    get_boto_session()\n    regions_to_check = [\"eu-west-1\", \"eu-west-2\"]\n    rows_for_sheets = []\n    fieldnames = [\n        \"AccountName\",\n        \"AccountID\",\n        \"Region\",\n        \"TrailName\",\n        \"HomeRegion\",\n        \"IsMultiRegion\",\n        \"IsLogging\",\n        \"KmsKeyId\",\n    ]\n\n    filename = \"aws_cloudtrail_audit.csv\"\n\n    with open(filename, mode=\"w\", newline=\"\") as csvfile:\n        writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n        writer.writeheader()\n\n        for account, profile_name in setup_org_accounts_session():\n            account_id = account[\"Id\"]\n            account_name = account[\"Name\"]\n            print(f\"Auditing CloudTrail for account: {account_name} ({account_id})...\")\n\n            try:\n                boto3.setup_default_session(profile_name=profile_name)\n\n                for region in regions_to_check:\n                    try:\n                        ct = boto3.client(\"cloudtrail\", region_name=region)\n                        response = ct.describe_trails()\n\n                        for trail in response.get(\"trailList\", []):\n                            name = trail[\"Name\"]\n                            home_region = trail[\"HomeRegion\"]\n                            is_multi = trail[\"IsMultiRegionTrail\"]\n                            kms_key = trail.get(\"KmsKeyId\", \"Disabled\")\n                            is_logging = get_trail_status(ct, trail[\"TrailARN\"])\n\n                            row = {\n                                \"AccountName\": account_name,\n                                \"AccountID\": account_id,\n                                \"Region\": region,\n                                \"TrailName\": name,\n                                \"HomeRegion\": home_region,\n                                \"IsMultiRegion\": is_multi,\n                                \"IsLogging\": is_logging,\n                                \"KmsKeyId\": kms_key,\n                            }\n                            writer.writerow(row)\n                            rows_for_sheets.append(list(row.values()))\n\n                    except ClientError as e:\n                        print(f\"  Error in {region} for {account_name}: {e}\")\n\n            except (ClientError, ProfileNotFound) as e:\n                print(f\"  Error accessing account {account_name}: {e}\")\n\n    print(f\"\\nCloudTrail audit complete. Results saved to {filename}.\")\n    export_to_sheets(\"aws-cloudtrail-audit\", fieldnames, rows_for_sheets)\n\n\nif __name__ == \"__main__\":\n    main()\n",
            "diffStat": {
              "model_added_lines": 81,
              "model_removed_lines": 0,
              "model_added_chars": 2859,
              "model_removed_chars": 0,
              "user_added_lines": 0,
              "user_removed_lines": 0,
              "user_added_chars": 0,
              "user_removed_chars": 0
            },
            "isNewFile": true
          },
          "displayName": "WriteFile",
          "description": "Writes content to a specified file in the local filesystem.\n\n      The user has the ability to modify `content`. If modified, this will be stated in the response.",
          "renderOutputAsMarkdown": true
        }
      ]
    },
    {
      "id": "01aa1a68-1551-405a-bf1f-747c2e9cf727",
      "timestamp": "2026-03-10T17:16:27.171Z",
      "type": "gemini",
      "content": "I have completed the implementation of the requested security scripts:\n\n1.  **`iam-audit.py`**: Identifies users without MFA, inactive logins, and stale access keys.\n2.  **`security-group-audit.py`**: Flags all security group rules that allow public (`0.0.0.0/0` or `::/0`) access.\n3.  **`cloudtrail-audit.py`**: Verifies that CloudTrail is active, multi-region enabled, and properly logging across all accounts.\n\nCombined with the previously created **`s3-security-audit.py`**, you now have a comprehensive set of automated security auditing tools for your AWS Organization. All scripts support multi-account execution, CSV output, and Google Sheets integration.\n\nIs there anything else you'd like to implement or adjust?",
      "thoughts": [],
      "tokens": {
        "input": 33187,
        "output": 178,
        "cached": 28376,
        "thoughts": 0,
        "tool": 0,
        "total": 33365
      },
      "model": "gemini-3-flash-preview"
    }
  ],
  "kind": "main",
  "summary": "Develop new AWS auditing tools."
}