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github/awesome-copilot175 installs

audit-integrity

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 security findings. Use this skill to evaluate reports against quality thresholds (score ≥ 8/10) before delivery.

How do I install this agent skill?

npx skills add https://github.com/github/awesome-copilot --skill audit-integrity
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    The skill is a comprehensive security audit framework designed for AppSec agents to ensure high-quality and honest reporting. It establishes non-negotiable behaviors, such as prohibiting the fabrication of findings and unauthorized source code modifications. The primary security concern is the inherent surface for indirect prompt injection, as the skill processes untrusted source code and incorporates findings into a persistent memory system without defined boundary markers or input sanitization.

  • Socketpass

    No alerts

  • Snykpass

    Risk: LOW · No issues

What does this agent skill do?

Audit Integrity Skill

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.

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/github/awesome-copilot/audit-integrity">View audit-integrity on skillZs</a>