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security-check

Scan Python projects for credential leaks, secrets in code, insecure patterns, LLM API key exposure, PII leakage to external AI services, and .env/.gitignore misconfigurations. Focused on data science pipelines handling API keys, tokens, and LLM integrations.

14estrelas
Atualizado há 4 meses

Ver no GitHub ↗ Licença: MIT

Como adicionar

/plugin marketplace add redhat-community-ai-tools/claude-code-setup-evaluator

O comando exato pode variar conforme o repositório. Confira o README no GitHub.

Para o autor da skill

Cole no README do seu repo

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Security Check Skill

Scan for credential leaks, insecure code patterns, and LLM security issues in Python data science projects.

When to Activate

  • Before committing changes
  • After modifying .env, .gitignore, or config files
  • When adding new API integrations or credentials
  • When reviewing code that handles tokens, keys, or passwords
  • When code sends data to external LLM APIs (Gemini, OpenAI, etc.)
  • Periodic security hygiene checks

Check Process

Read skills/scan-process.md for the full 6-step scan process with bash commands.

Pattern Reference

Read skills/pattern-tables.md for API key regex patterns, insecure Python code patterns, and LLM-specific security patterns with severity classifications.

Behavioral Rules

Read guidelines.md for severity classifications, remediation requirements, and escalation rules.

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