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/audit-integrity

@c5a2d81 official
by githubgithub/awesome-copilot40k stars
5,040

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.

Use this Skill: https://skilld.dev/gh/github/awesome-copilot/audit-integrity

This session only. Nothing lands on disk.

SKILL.md

≈108 tokens always: the name and description. ≈882 when used: this file. ≈3.6k more on demand in 7 files.

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:

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:

  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.

Source: SKILL.md on GitHub

No alerts2d3 checks · Risk SAFE
  • Gen Agent Trust Hub2d

    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.

  • Socket2d

    No alerts

  • Snyk2d

    Risk: LOW · No issues

Signed by skilld at c5a2d81. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub yesterday.

Activeupdated 3 days ago
metadata
{
  "version": "1.1"
}
  • appsec
  • audit
  • quality-gates
  • security-analysis
  • sast
  • threat-modeling
  • code-review
  • self-critique
  • integrity
  • agent-framework

README badge

README badge for github/awesome-copilot/audit-integrity

Enforces output quality and intellectual honesty across AppSec agents through anti-rationalization guards, self-critique loops, retry protocols, and a self-reflection quality gate with ≥8 scoring threshold. Provides seven reusable components (clarification protocol, quality gates, self-learning system) that agents apply before delivery and adapt to domains like SAST, threat modeling, and code review.

Generated from the current SKILL.md.

Does this skill work with any language or framework?
Yes. The skill is cross-platform and applies to any language or framework analyzed by AppSec agents — SAST, SCA, threat modeling, and code quality analysis.
What happens if a tool fails during analysis?
The Retry Protocol component handles tool failures by retrying once, then documenting the failure if it persists.
Can I customize this skill for my specific agent type?
Yes. Each agent customizes the Self-Critique Loop checklist and Self-Reflection Quality Gate categories to match its domain — SAST/SCA, threat modeling, code review, or other AppSec workflows.
What is the quality threshold for output before delivery?
The Self-Reflection Quality Gate requires all categories to score 8 or higher on a 1–10 rubric before the analysis is delivered.
Does this skill create records of lessons learned?
Yes. The Self-Learning System captures lessons and memories for novel findings, false positives, and methodology gaps with governance rules for governance and reuse.

Generated from the current SKILL.md. These answers refresh after source changes.