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Audit Review

Community
kucherenko
audit-review

Use when completing tasks, implementing major features, or before merging — dispatches the-inspector to audit the books before the job is closed

Overview

Publisherkucherenko
Repositorygangsta
Skill nameaudit-review
Stars
86
Forks
10
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by kucherenko on GitHub. Read the source before you install it.

Installation

Install the Audit Review AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/kucherenko/gangsta/tree/master/skills/audit-review
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/kucherenko/gangsta.git /tmp/gangsta
mkdir -p .claude/skills
cp -r /tmp/gangsta/skills/audit-review .claude/skills/audit-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Audit Review in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Audit Review on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Audit Review is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

The Audit: Requesting Code Review

Overview

Dispatch the-inspector to catch issues before they compound. The inspector gets precisely crafted context for evaluation — never the session's history. This keeps the inspector focused on the work product, not the thought process, and preserves your context for continued work.

Core principle: Audit early, audit often.

When to Request

Mandatory:

  • After each task in parallel execution (The Hit)
  • After completing a major feature
  • Before merge to main

Optional but valuable:

  • When stuck (fresh perspective)
  • Before refactoring (baseline check)
  • After fixing complex bug

How to Request

1. Get Git SHAs

bash
BASE_SHA=$(git rev-parse HEAD~1)  # or origin/main
HEAD_SHA=$(git rev-parse HEAD)

2. Dispatch the-inspector

Use the Task tool to dispatch the the-inspector agent with subagent_type: "the-inspector". Do NOT use "general" or "general-purpose" — these are not valid in a Gangsta Agents installation.

Fill the template at the-inspector-prompt.md in this skill directory with the following placeholders:

  • {WHAT_WAS_IMPLEMENTED} — What you just built
  • {PLAN_OR_REQUIREMENTS} — What it should do (Contract clause, spec section)
  • {BASE_SHA} — Starting commit
  • {HEAD_SHA} — Ending commit
  • {DESCRIPTION} — Brief summary of the changes

3. Act on Findings

SeverityAction
CriticalFix immediately. Do not proceed until resolved.
ImportantFix before proceeding to the next task.
MinorNote for later. Don't block progress.
WrongPush back with technical reasoning.

Example

[Just completed implementing auth middleware]

1. Get SHAs:
   BASE_SHA=$(git log --oneline | grep "previous task" | head -1 | awk '{print $1}')
   HEAD_SHA=$(git rev-parse HEAD)

2. Dispatch the-inspector:
   WHAT_WAS_IMPLEMENTED: JWT auth middleware with role-based access
   PLAN_OR_REQUIREMENTS: Contract section 3.2 — Authentication
   BASE_SHA: a7981ec
   HEAD_SHA: 3df7661
   DESCRIPTION: Added auth middleware, role guards, token validation

3. Inspector returns:
   Strengths: Clean separation, real tests
   Issues:
     Important: Missing token expiry check
     Minor: Magic number for token TTL
   Assessment: Ready with fixes

4. Fix important issue, proceed to next task.

Integration with Heist Pipeline

  • The Hit: Audit after each Crew Lead's territory completion
  • Laundering: Final audit before the Don's approval
  • Ad-hoc work: Audit before merge

Red Flags

Never:

  • Skip audit because "it's simple"
  • Ignore Critical issues
  • Proceed with unfixed Important issues
  • Argue with valid technical feedback without evidence

If inspector is wrong:

  • Push back with technical reasoning
  • Show code/tests that prove it works
  • Use gangsta:receiving-orders for processing feedback rigorously

Omerta Compliance

  • Rule of Truth: Inspector reviews actual diffs, not claims
  • Introduction Rule: Inspector communicates through the audit skill, not directly with Workers

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Audit Review AI skill do?

Use when completing tasks, implementing major features, or before merging — dispatches the-inspector to audit the books before the job is closed

Why use Audit Review on TypingMind?

Because you install it once and use it with any model. Audit Review is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Audit Review in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kucherenko/gangsta/tree/master/skills/audit-review. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Audit Review?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Audit Review?

As many as you like. As long as a model supports skills, you can use Audit Review with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Audit Review AI skill free?

Yes. It is published on GitHub by kucherenko under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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