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audit-integrity

Shared audit integrity framework for all AppSec agents — enforces output quality, intellectual honesty, and continuous improvement through anti-rationalization guards, self-critique loops, retry protocols, non-negotiable behaviors, self-reflection quality gates (1-10 scoring, ≥8 threshold), and a self-learning system with lesson/memory governance for security analysis agents.

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github/awesome-copilot
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2026년 4월 28일 01:46
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SKILL.md
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name
audit-integrity
description
Shared audit integrity framework for all AppSec agents — enforces output quality, intellectual honesty, and continuous improvement through anti-rationalization guards, self-critique loops, retry protocols, non-negotiable behaviors, self-reflection quality gates (1-10 scoring, ≥8 threshold), and a self-learning system with lesson/memory governance for security analysis agents.
compatibility
Cross-platform. Works with any language or framework analyzed by AppSec agents.
metadata
{"version":"1.0"}
# Audit Integrity Skill Enforces output quality, intellectual honesty, and continuous improvement across all AppSec agents. ## When to Use - Every security analysis, code review, threat model, or quality scan agent run - Applied automatically as a post-analysis quality gate - Applicable to any agent performing SAST, SCA, threat modeling, or code quality analysis ## Components This skill provides 7 reusable capabilities. Agents apply all 7 unless their scope excludes a specific component. | Component | Reference File | Purpose | |-----------|---------------|---------| | Clarification Protocol | [clarification-protocol.md](references/clarification-protocol.md) | Ask ≤2 targeted questions before analysis when scope is ambiguous | | Anti-Rationalization Guard | [anti-rationalization-guard.md](references/anti-rationalization-guard.md) | Table of prohibited rationalizations with mandatory responses | | Self-Critique Loop | [self-critique-loop.md](references/self-critique-loop.md) | Mandatory second-pass review after initial analysis | | Retry Protocol | [retry-protocol.md](references/retry-protocol.md) | Tool failure handling — retry once, then document | | Non-Negotiable Behaviors | [non-negotiable-behaviors.md](references/non-negotiable-behaviors.md) | Hard rules: never fabricate, always cite evidence, report gaps | | Self-Reflection Quality Gate | [self-reflection-quality-gate.md](references/self-reflection-quality-gate.md) | 1–10 scoring rubric with ≥8 threshold per category | | Self-Learning System | [self-learning-system.md](references/self-learning-system.md) | Lesson/Memory templates and governance rules | ## Execution Flow 1. **Before analysis**: Apply Clarification Protocol if scope is ambiguous 2. **During analysis**: Apply Anti-Rationalization Guard at every decision point 3. **After initial pass**: Execute Self-Critique Loop (mandatory second pass) 4. **On tool failure**: Apply Retry Protocol 5. **Before delivery**: Run Self-Reflection Quality Gate (all categories must score ≥8) 6. **After delivery**: Create Lessons/Memories for novel findings, false positives, or methodology gaps (see Self-Learning System) ## Agent-Specific Adaptation Each agent customizes the **Self-Critique Loop** checklist and **Self-Reflection Quality Gate** categories to match its domain. The reference files provide the base templates; agents extend them with domain-specific items. ### Example extensions per agent type - **SAST/SCA agents**: Add taint trace completeness and manifest coverage checks - **SonarQube-style agents**: Add rating sanity check (A–E consistency with findings) - **Threat modeling agents**: Add STRIDE category completeness per trust boundary - **Code review agents**: Add trust boundary audit with data flow tracing
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