skills/mukul975/anthropic-cybersecurity-skills/implementing-aws-security-hub-compliance/Gen Agent Trust Hub
implementing-aws-security-hub-compliance
Pass
Audited by Gen Agent Trust Hub on Sep 29, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTIONCOMMAND_EXECUTIONDYNAMIC_EXECUTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill processes findings from external AWS services to identify compliance issues. \n
- Ingestion points: The
get_findingsAPI call is used inscripts/agent.pyto retrieve findings from AWS Security Hub. \n - Boundary markers: The skill processes structured JSON findings but does not implement specific boundary markers for the findings' textual content. \n
- Capability inventory: The skill can update finding statuses and modify S3 bucket configurations (blocking public access). \n
- Sanitization: Employs simple keyword-based matching (e.g., "s3" and "public") on finding titles to trigger remediation actions.\n- [COMMAND_EXECUTION]: The skill documentation provides various AWS CLI commands for infrastructure management and security configuration. \n
- Evidence: Multiple shell blocks in
SKILL.mddemonstratingaws securityhubandaws eventsusage. \n - Context: The commands are standard administrative operations required for the stated purpose of cloud security compliance.\n- [DYNAMIC_EXECUTION]: The skill documentation includes a step to generate a Python remediation script locally. \n
- Evidence: A bash heredoc in
SKILL.mdcreates a file at/tmp/remediate_s3.py. \n - Context: This is an instructional example for setting up automated remediation workflows and does not execute untrusted remote code.
Audit Metadata