Audit Integrity Skill
SkillSecurityMakes your agent follow strict quality checks so security audit findings are verified with real code evidence.
Use Audit Integrity Skill in Claude, ChatGPT or Ahel Desktop
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Then ask your AI: use the Audit Integrity Skill skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
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Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
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:
| Component | Reference File | Purpose |
|---|---|---|
| Clarification Protocol | references/clarification-protocol.md | Ask a maximum of 2 targeted questions when scope is not clear |
| Anti-Rationalization Guard | references/anti-rationalization-guard.md | Prohibited rationalizations and mandatory responses for findings |
| Self-Critique Loop | references/self-critique-loop.md | Mandatory second pass to verify evidence and coverage |
| Retry Protocol | references/retry-protocol.md | Tool failure and empty search handling: retry once, then document |
| Non-Negotiable Behaviors | references/non-negotiable-behaviors.md | Mandatory rules: do not fabricate, cite evidence, report gaps |
| Self-Reflection Quality Gate | references/self-reflection-quality-gate.md | Scoring rubric (1–10 scale) with a minimum threshold of 8 |
| Self-Learning System | references/self-learning-system.md | Templates and rules for lessons and security memories |
Execution Flow
Load reference files as you reach each phase:
- Before analysis: If scope or policy is not clear, read references/clarification-protocol.md. Ask a maximum of 2 targeted questions.
- During analysis: Follow references/non-negotiable-behaviors.md. At each triage decision, consult references/anti-rationalization-guard.md.
- On tool or search failure: Follow references/retry-protocol.md. Do not assume code is secure without verification.
- After initial analysis: Complete a second pass with the checklist in references/self-critique-loop.md. Verify taint traces and manifest coverage.
- Before delivery: Score the draft report using references/self-reflection-quality-gate.md. All categories must score ≥ 8.
- 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
Advanced
- Item type
- skill
- Key
audit-integrity-github- Source
- github.com/github/awesome-copilot
github.com/github/awesome-copilot
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