Key Capabilities Covered in the Cloud Security Domain of Anthropic Cybersecurity Skills

The Cloud Security domain in the Anthropic Cybersecurity Skills repository encompasses three core capabilities: multi-cloud hardening across AWS, Azure, and GCP; Cloud Security Posture Management (CSPM) for automated misconfiguration detection; and cloud forensics for evidence collection and timeline reconstruction.

The Anthropic Cybersecurity Skills library is an open-source collection of AI-executable security capabilities designed for autonomous agents. The Cloud Security domain provides specialized skills that enable automated hardening, continuous posture monitoring, and forensic analysis across major cloud providers.

Core Cloud Security Domain Capabilities

The repository organizes Cloud Security domain capabilities into three distinct pillars, each targeting specific operational needs across AWS, Azure, and GCP environments.

Multi-Cloud Hardening

Hardening capabilities guide AI agents through provider-specific security configurations including IAM policy tightening, workload identity setup, and secure container registry management. According to the repository's domain matrix in README.md, these implementations reside in skill directories such as skills/securing-aws-iam-permissions/ and skills/securing-azure-with-microsoft-defender/. Scripts utilize native SDKs like boto3 for AWS and azure-identity for Azure to execute configuration changes.

Cloud Security Posture Management (CSPM)

CSPM capabilities automate continuous compliance checks by integrating with native cloud security services. Skills such as detecting-cloud-threats-with-guardduty embed API calls including aws iam get-policy and GuardDuty detectors to identify misconfigurations in real-time. This approach enables agents to detect drift from security baselines without requiring third-party CSPM licenses.

Cloud Forensics

Cloud Forensics capabilities focus on evidence collection from cloud control planes, specifically CloudTrail logs, Azure Activity Logs, and resource-graph queries. These skills automate the export of telemetry data into analysis tools like Amazon Athena and Azure Sentinel, allowing agents to reconstruct attack timelines and identify indicators of compromise.

Technical Architecture of Cloud Security Skills

Cloud Security skills follow a structured taxonomy within the repository. Each skill lives under the skills/ directory with a subdomain metadata tag set to cloud-security, enabling automatic discovery by AI agents.

Provider-specific modules written in Python and Bash invoke official SDKs including boto3, azure-identity, and google-cloud-sdk to perform operations. CSPM integrations embed direct API calls to native services, while forensic pipelines establish data flows from CloudTrail and Azure Activity Log into queryable data stores for analysis.

Implementation Examples

The following code snippets from the repository demonstrate each Cloud Security domain capability. All scripts reside in their respective skill's scripts/ folder and can be invoked directly by AI agents.

AWS IAM Least-Privilege Audit

This Python script from skills/securing-aws-iam-permissions/SKILL.md audits inline policies attached to IAM roles:

import boto3, json

iam = boto3.client('iam')

# List all inline policies attached to a role

def audit_role(role_name):
    resp = iam.get_role_policy(RoleName=role_name, PolicyName='InlinePolicy')
    print(json.dumps(resp['PolicyDocument'], indent=2))

audit_role('EC2InstanceRole')

GuardDuty Threat Detection

This Bash example from skills/detecting-cloud-threats-with-guardduty/SKILL.md enables AWS GuardDuty and retrieves security findings:

aws guardduty create-detector --enable  # enable CSPM detector

aws guardduty list-findings --detector-id $(aws guardduty list-detectors --query 'DetectorIds[0]' --output text) \
  --query 'FindingIds' --output text

CloudTrail Forensics with Athena

This Python snippet from skills/securing-aws-lambda-execution-roles/SKILL.md queries CloudTrail logs for security investigations:

import boto3

athena = boto3.client('athena')
query = """
SELECT *
FROM cloudtrail_logs
WHERE eventName = 'ConsoleLogin' AND sourceIPAddress = 'malicious.example.com';
"""
response = athena.start_query_execution(
    QueryString=query,
    QueryExecutionContext={'Database': 'security'},
    ResultConfiguration={'OutputLocation': 's3://my-forensics-bucket/athena-results/'}
)
print("Query ID:", response['QueryExecutionId'])

Key Source Files for Cloud Security

Exploring these files provides comprehensive insight into the Cloud Security domain implementation as maintained in the mukul975/Anthropic-Cybersecurity-Skills repository:

• README.md: Contains the high-level domain matrix showing the three capability pillars for Cloud Security.
• tools/README.md: Documents CLI helpers used by cloud-related scripts.
• skills/securing-aws-iam-permissions/SKILL.md: Demonstrates hardening with IAM least-privilege audits.
• skills/detecting-cloud-threats-with-guardduty/SKILL.md: Shows CSPM integration via GuardDuty API calls.
• skills/securing-aws-lambda-execution-roles/SKILL.md: Implements cloud forensics through Athena query execution.
• skills/securing-azure-with-microsoft-defender/SKILL.md: Covers Azure-centric hardening and Defender for Cloud integration.
• skills/securing-gcp-security-posture/SKILL.md: Provides GCP-specific hardening and posture management capabilities.

Summary

• The Cloud Security domain covers hardening, CSPM, and cloud forensics across AWS, Azure, and GCP.
• Skills are organized under skills/ with subdomain: cloud-security metadata for agent discovery.
• Provider SDKs (boto3, azure-identity) enable direct API integration for configuration and monitoring.
• Forensic capabilities leverage CloudTrail, Azure Activity Log, and Athena for attack timeline reconstruction.
• Specific implementations reside in skill files like securing-aws-iam-permissions/SKILL.md and detecting-cloud-threats-with-guardduty/SKILL.md.

Frequently Asked Questions

What cloud providers does the Cloud Security domain support?

The Cloud Security domain supports the three major cloud providers: AWS, Azure, and Google Cloud Platform (GCP). Each capability includes provider-specific implementations, such as boto3 scripts for AWS and azure-identity modules for Azure, ensuring comprehensive coverage across multi-cloud environments.

How does the repository implement Cloud Security Posture Management?

CSPM implementation relies on native API integrations with cloud security services. Skills call APIs such as aws iam get-policy for permission analysis and az security posture list for Azure, enabling automated detection of misconfigurations and continuous compliance monitoring without requiring third-party CSPM licenses.

Can AI agents execute cloud forensics tasks automatically?

Yes, forensic skills are designed for autonomous execution. Scripts located in skills/securing-aws-lambda-execution-roles/SKILL.md and similar files automate the collection of CloudTrail logs and their analysis through Athena queries, allowing AI agents to reconstruct attack timelines and identify indicators of compromise without manual intervention.

Where are the Cloud Security skills located in the repository?

Cloud Security skills reside in the skills/ directory with specific subdomains tagged as cloud-security. Key examples include skills/securing-aws-iam-permissions/, skills/detecting-cloud-threats-with-guardduty/, and skills/securing-azure-with-microsoft-defender/, each containing SKILL.md files with executable code and metadata.

{
  "mcpServers": {
    "instagit": {
      "command": "npx",
      "args": ["-y", "instagit@latest"]
    }
  }
}