Agent skill

Audit Integrity

by boshi-xixixi in boshi-xixixi/TraeSkill

Shared audit integrity framework for all AppSec agents — enforces output quality, intellectual honesty, and continuous improvement through anti-rationalization guards, self-critique loops, retry…

MITAuto-check passedTesting & QA

Install Audit Integrity

skills CLI
$ npx skills add boshi-xixixi/TraeSkill --skill audit-integrity -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install boshi-xixixi/TraeSkill audit-integrity --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/boshi-xixixi/TraeSkill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.trae/Skills/.agents/skills/audit-integrity .claude/skills/audit-integrity && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
audit-integrity
GitHub stars
276
Token cost
~832 tokens
SKILL.md length
290 words
Files
8 (incl. references)
Skills in repo
16
Repo updated
First seen
Licence
MIT

At a glance

Shared audit integrity framework for all AppSec agents — enforces output quality, intellectual honesty, and continuous improvement through anti-rationalization guards, self-critique loops, retry…

  • Works in 6 steps: Before analysis: Apply Clarification… → During analysis: Apply… → After initial pass: Execute… → …
  • Tasks that involve Quality gates
  • SKILL.md covers When to Use, Components, Execution Flow and Agent-Specific Adaptation
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Audit Integrity is an agent skill from boshi-xixixi/TraeSkill. 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.

Its SKILL.md is about 830 tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including reference files (for example `references/anti-rationalization-guard.md`, `references/clarification-protocol.md` and `references/non-negotiable-behaviors.md`). Compatibility notes: Cross-platform. Works with any language or framework analyzed by AppSec agents.

It sits in Testing & QA, covering Quality gates and Journaling and reflection. The repository describes itself as: 为 Trae IDE 打造的全流程标准化 AI 开发技能库,内置调度分发与多角色研发技能,一键导入规范 AI 编码工作流 🚀. The licence is MIT.

When your agent uses it

  • Tasks that involve Quality gates
  • Tasks that involve Journaling and reflection

Example prompts

  • “/audit-integrity”

Requirements

  • Compatibility (from SKILL.md): Cross-platform. Works with any language or framework analyzed by AppSec agents.

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  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)

What it can do on your machine

Read from SKILL.md and the folder at commit 9cf38e6. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Cross-platform. Works with any language or framework analyzed by AppSec agents.

    From compatibility in the SKILL.md frontmatter.

Context cost

Audit Integrity loads about 832 tokens when it runs, and up to ~4.4k if it reads all its reference files. Until then it costs about 99 tokens; SKILL.md has 290 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~99
When it runs · the whole SKILL.md, loaded when a task matches
~832
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from boshi-xixixi/TraeSkill at commit 9cf38e6, republished under its MIT licence (© boshi-xixixi). 290 words, ~832 tokens.

Download SKILL.mdSave it as .claude/skills/audit-integrity/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
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.

ComponentReference FilePurpose
Clarification Protocolclarification-protocol.mdAsk ≤2 targeted questions before analysis when scope is ambiguous
Anti-Rationalization Guardanti-rationalization-guard.mdTable of prohibited rationalizations with mandatory responses
Self-Critique Loopself-critique-loop.mdMandatory second-pass review after initial analysis
Retry Protocolretry-protocol.mdTool failure handling — retry once, then document
Non-Negotiable Behaviorsnon-negotiable-behaviors.mdHard rules: never fabricate, always cite evidence, report gaps
Self-Reflection Quality Gateself-reflection-quality-gate.md1–10 scoring rubric with ≥8 threshold per category
Self-Learning Systemself-learning-system.mdLesson/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

© boshi-xixixi, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 7 other files (references) in .trae/Skills/.agents/skills/audit-integrity of boshi-xixixi/TraeSkill.

  • SKILL.md
  • references/anti-rationalization-guard.md
  • references/clarification-protocol.md
  • references/non-negotiable-behaviors.md
  • references/retry-protocol.md
  • references/self-critique-loop.md
  • references/self-learning-system.md
  • references/self-reflection-quality-gate.md

Open the folder on GitHubat commit 9cf38e6

Compare with similar skills

Audit Integrity next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Audit Integrity compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Audit Integrity this skillboshi-xixixi/TraeSkill276—~832Automated safety check: PassMIT
Feature Plannerserendipity1004/cc-feature-implementer176—~2.4kAutomated safety check: PassNone
Early Experience DataOSU-NLP-Group/EarlyExperience103—~4.1kAutomated safety check: PassMIT
Ccg Workflowfengshao1227/ccg-workflow5.9k—~2.3kAutomated safety check: PassMIT
Conducty Checkpointrobertbarclayy/conducty176—~1.5kAutomated safety check: PassMIT
Mission Plannerjdforsythe/forge151—~3.5kAutomated safety check: PassMIT

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Categories

Questions about Audit Integrity

What does Audit Integrity do?

Shared audit integrity framework for all AppSec agents — enforces output quality, intellectual honesty, and continuous improvement through anti-rationalization guards, self-critique loops, retry…. Audit Integrity is an agent skill from boshi-xixixi/TraeSkill. 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.

When should I use Audit Integrity?

Audit Integrity fits situations like: tasks that involve Quality gates; tasks that involve Journaling and reflection.

How do I install Audit Integrity in Claude Code?

Run `npx skills add boshi-xixixi/TraeSkill --skill audit-integrity -a claude-code`. Or copy the skill folder (.trae/Skills/.agents/skills/audit-integrity in boshi-xixixi/TraeSkill) into .claude/skills/audit-integrity in your project. Claude Code loads it when a task matches its description.

How do I install Audit Integrity in Codex?

Run `npx skills add boshi-xixixi/TraeSkill --skill audit-integrity -a codex`. Or copy the skill folder (.trae/Skills/.agents/skills/audit-integrity in boshi-xixixi/TraeSkill) into .agents/skills/audit-integrity in your project. Codex loads it when a task matches its description.

Can I use Audit Integrity in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add boshi-xixixi/TraeSkill --skill audit-integrity -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/audit-integrity, .gemini/skills/audit-integrity, .github/skills/audit-integrity and .opencode/skills/audit-integrity in your project.

What does Audit Integrity need to run?

SKILL.md names no scripts, command-line tools or credentials: Audit Integrity is instructions for the agent only. Compatibility (from SKILL.md): Cross-platform. Works with any language or framework analyzed by AppSec agents..

Does Audit Integrity access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Audit Integrity safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Audit Integrity use?

Audit Integrity is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Audit Integrity use?

About 832 tokens (SKILL.md is roughly 3.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.6k tokens, read only when the agent opens those files.

What are the alternatives to Audit Integrity?

Skills that share tags, products or a category with Audit Integrity: Feature Planner (serendipity1004/cc-feature-implementer, 176 stars), Early Experience Data (OSU-NLP-Group/EarlyExperience, 103 stars), Ccg Workflow (fengshao1227/ccg-workflow, 5.9k stars) and Conducty Checkpoint (robertbarclayy/conducty, 176 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Audit Integrity?

boshi-xixixi (a GitHub user) maintains it in boshi-xixixi/TraeSkill, which has 276 GitHub stars. The repository holds 16 skills in this directory. The repository was last updated on May 12, 2026.

Source: boshi-xixixi/TraeSkill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.