Use when long-lived agents, project memories, system prompts, or playbooks are repeatedly summarized, rewritten, or optimized and risk losing domain detail, provenance, or execution learnings.
中文简介正在准备中。当前显示原文说明。
mouadja02/skills102026年10月20日 更新
免费在 GitHub 公开
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.
中文简介正在准备中。当前显示原文说明。
查看安装方法包含的文件（9）
- SKILL.md3.6 KB
- LICENSE1.0 KB
- references/anti-rationalization-guard.md3.9 KB
- references/clarification-protocol.md971 B
- references/non-negotiable-behaviors.md1.4 KB
- references/retry-protocol.md560 B
- references/self-critique-loop.md2.5 KB
- references/self-learning-system.md2.3 KB
- references/self-reflection-quality-gate.md2.4 KB
SKILL.md（原文）
安装前可以查看交给 AI 代理的指令内容。
Attribution: Sourced from github/awesome-copilot by GitHub Community, licensed MIT. Modified for this collection.
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 | Ask ≤2 targeted questions before analysis when scope is ambiguous |
| Anti-Rationalization Guard | anti-rationalization-guard.md | Table of prohibited rationalizations with mandatory responses |
| Self-Critique Loop | self-critique-loop.md | Mandatory second-pass review after initial analysis |
| Retry Protocol | retry-protocol.md | Tool failure handling — retry once, then document |
| Non-Negotiable Behaviors | non-negotiable-behaviors.md | Hard rules: never fabricate, always cite evidence, report gaps |
| Self-Reflection Quality Gate | self-reflection-quality-gate.md | 1–10 scoring rubric with ≥8 threshold per category |
| Self-Learning System | self-learning-system.md | Lesson/Memory templates and governance rules |
Execution Flow
- Before analysis: Apply Clarification Protocol if scope is ambiguous
- During analysis: Apply Anti-Rationalization Guard at every decision point
- After initial pass: Execute Self-Critique Loop (mandatory second pass)
- On tool failure: Apply Retry Protocol
- Before delivery: Run Self-Reflection Quality Gate (all categories must score ≥8)
- 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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同一仓库的技能
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中文简介正在准备中。当前显示原文说明。
mouadja02/skills102026年10月20日 更新
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中文简介正在准备中。当前显示原文说明。
mouadja02/skills102026年10月20日 更新
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中文简介正在准备中。当前显示原文说明。
mouadja02/skills102026年10月20日 更新
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中文简介正在准备中。当前显示原文说明。
mouadja02/skills102026年10月20日 更新
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中文简介正在准备中。当前显示原文说明。
mouadja02/skills102026年10月20日 更新