production-security

Pass

Audited by Gen Agent Trust Hub on Oct 2, 2026

Risk Level: SAFEEXTERNAL_DOWNLOADSCOMMAND_EXECUTIONINDIRECT_PROMPT_INJECTION
Full Analysis
  • [EXTERNAL_DOWNLOADS]: The skill provides instructions for installing and integrating security auditing tools from well-known and reputable sources.
  • Mentions pip install pip-audit and npm audit for dependency scanning in CI/CD pipelines.
  • References official GitHub repositories for security tools, including Yelp/detect-secrets, gitleaks/gitleaks, and aquasecurity/trivy-action.
  • [COMMAND_EXECUTION]: The instructions include various command-line utilities for security auditing and code analysis.
  • Provides rg (ripgrep) patterns for detecting hardcoded secrets and potential injection vulnerabilities in source code.
  • Recommends the use of binary security scanners such as trufflehog, gitleaks, and trivy for filesystem and image scanning.
  • [INDIRECT_PROMPT_INJECTION]: The skill provides code templates for APIs that process external data, establishing an attack surface that is mitigated by the included validation logic.
  • Ingestion points: Request bodies in FastAPI and Express templates (req.body), file uploads via UploadFile in SKILL.md, and search query parameters (q: str).
  • Boundary markers: Recommends the implementation of strict data schemas using Pydantic and Zod to define clear boundaries for untrusted input.
  • Capability inventory: The templates interact with databases (db.execute, db.query), the local filesystem (os.path.basename, file.read), and external cloud secret managers (AWS and GCP).
  • Sanitization: Demonstrates robust sanitization practices, including Pydantic with strict=True, regex-based validation for string fields, and filename sanitization for file uploads.
  • [SAFE]: The primary function of this skill is to provide security hardening guidance. All technical operations, external references, and data handling patterns align with industry-standard security practices and are intended to improve the security posture of the user's application.
Audit Metadata
Risk Level
SAFE
Analyzed
Oct 2, 2026, 07:09 PM