Security Check Skill

SkillSecurity

Scan for hardcoded secrets, credentials, tokens, and security vulnerabilities

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Security Check Skill skill

What this skill tells your AI

The instructions your AI receives, as published by davidban77/gns3fy in .claude/skills/security-check/SKILL.md and read by ahel’s review.

Perform a comprehensive security audit of the codebase.

Target

Scan: $ARGUMENTS (default: entire project)

Checks to Perform

1. Ruff Security Rules

Run task security which executes ruff check --select S. Key rules:

  • S105: Hardcoded password strings
  • S106: Hardcoded password as function argument
  • S107: Hardcoded password default value
  • S102: Use of exec()
  • S608: Possible SQL injection via string formatting
  • S301: Use of pickle (deserialization risk)
  • S403: Import of insecure modules (pickle, subprocess, xml)

2. Secret/Credential Scanning

Search for patterns across all text files:

  • API keys, tokens, passwords, private keys, secrets with assigned values
  • .env files that might be committed (verify .gitignore coverage)
  • Hardcoded URLs with embedded credentials (https://user:pass@...)
  • AWS access keys (AKIA...), GitHub tokens (ghp_..., gho_...), JWT secrets
  • Base64-encoded strings that might be obfuscated credentials

3. Dependency Security

  • Check for known-vulnerable dependency patterns
  • Verify no http:// (non-TLS) URLs in production code (test fixtures are OK)
  • Check that SSL verification is not disabled (verify=False in requests calls)
  • Review pyproject.toml for overly permissive version ranges on security-sensitive deps

4. Best Practices

  • Verify sensitive data is not logged (check print() and logging calls for credential leaks)
  • Ensure auth credentials are passed via parameters, not hardcoded
  • Check that test fixtures in tests/data/ don't contain real credentials
  • Verify .gitignore covers sensitive file patterns (.env, *.pem, *.key)

Output Format

Produce a security report with three severity levels:

Critical

Immediate security risks (hardcoded real credentials, disabled SSL, etc.). Include file path, line number, and remediation steps.

Warning

Potential security concerns that need review (broad dependency ranges, non-TLS URLs, etc.). Include file path and recommendation.

Info

Best practice suggestions and security hardening opportunities. Include brief description.

Rules

  • DO NOT modify any files — this is a read-only audit
  • Include specific file paths and line numbers for every finding
  • Distinguish between test/example code and production code in severity assessment
  • Do not flag test fixtures using fake/mock credentials as Critical

Signals

GitHub stars
69
Forks
32
Last commit
Mar 2026
Advanced
Catalog kind
skill
Gateway key
security-check
Source
github.com/davidban77/gns3fy