Audit Integrity Skill

SkillSecurity

Makes your agent follow strict quality checks so security audit findings are verified with real code evidence.

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Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Audit Integrity SkillStart free
About this skill

Enforce output quality, evidence verification, and quality gates across security audits. Use this skill when you perform SAST, SCA, threat modeling, or security code reviews. Use this skill to verify code locations and taint traces for all findings. Use this skill to prevent the suppression of valid

What this skill tells your AI

The instructions your AI receives, as published by github/awesome-copilot in skills/audit-integrity/SKILL.md and read by ahel’s review.

Enforce output quality, intellectual honesty, and continuous improvement across security audits and code reviews.

When to Use

  • Perform security analyses, threat models, code reviews, or quality audits.
  • Validate that every finding has verified code evidence and taint flow.
  • Prevent the suppression or rationalization of security findings.
  • Evaluate draft reports against the quality gate threshold (score ≥ 8/10).
  • Record lessons learned and security memories after you complete a scan.

Components

This skill provides 7 modular capabilities in the references/ directory. Load each file when you reach its execution phase:

ComponentReference FilePurpose
Clarification Protocolreferences/clarification-protocol.mdAsk a maximum of 2 targeted questions when scope is not clear
Anti-Rationalization Guardreferences/anti-rationalization-guard.mdProhibited rationalizations and mandatory responses for findings
Self-Critique Loopreferences/self-critique-loop.mdMandatory second pass to verify evidence and coverage
Retry Protocolreferences/retry-protocol.mdTool failure and empty search handling: retry once, then document
Non-Negotiable Behaviorsreferences/non-negotiable-behaviors.mdMandatory rules: do not fabricate, cite evidence, report gaps
Self-Reflection Quality Gatereferences/self-reflection-quality-gate.mdScoring rubric (1–10 scale) with a minimum threshold of 8
Self-Learning Systemreferences/self-learning-system.mdTemplates and rules for lessons and security memories

Execution Flow

Load reference files as you reach each phase:

  1. Before analysis: If scope or policy is not clear, read references/clarification-protocol.md. Ask a maximum of 2 targeted questions.
  2. During analysis: Follow references/non-negotiable-behaviors.md. At each triage decision, consult references/anti-rationalization-guard.md.
  3. On tool or search failure: Follow references/retry-protocol.md. Do not assume code is secure without verification.
  4. After initial analysis: Complete a second pass with the checklist in references/self-critique-loop.md. Verify taint traces and manifest coverage.
  5. Before delivery: Score the draft report using references/self-reflection-quality-gate.md. All categories must score ≥ 8.
  6. Final delivery: Record lessons and memories using references/self-learning-system.md.

Signals

GitHub stars
40k
Forks
5k
Last commit
Oct 2026

Others that do the same job

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Item type
skill
Key
audit-integrity-github
Source
github.com/github/awesome-copilot