Audit Agents

CommunityPopular

dzhng

audit-agents

Audit or rewrite AGENTS.md so it holds only lasting principles. Run it only when the user asks for it by name; never invoke it on your own.

Overview

Publisher	dzhng
Repository	`skills`
Skill name	`audit-agents`
Stars	1.1K
Forks	66
Bundled files	1
License	MIT
Links	Skill source Repository

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 dzhng on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/dzhng/skills/tree/main/skills/authoring/audit-agents
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.

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/dzhng/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/authoring/audit-agents .claude/skills/audit-agents

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Audit Agents 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 Agents 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 Agents 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.

Audit Agents

AGENTS.md is read by everyone who will ever work on the project. Picture the next thousand contributors over the next hundred years: a line belongs only if it is still true, and still changes what they do, after every file, tool and dependency has been replaced.

Workflow

Read the AGENTS.md and the root readme. This is a document audit: run no builds and no tests.
Give every line one verdict, using the tests below.
- Keep: a principle that passes every test.
- Rephrase: a lasting lesson worded in today's mechanics, or too vague to act on.
- Move: a detail someone needs. Name the owner it belongs to: a readme, a manifest, a skill or a spec.
- Delete: repetition, history, or a line that changes nothing.
Check the shape against the example below.
Report the findings, highest impact first. Quote each line, give its verdict and the replacement text, and group repeats. Report no finding you can't quote.
Edit only when the user asks for a rewrite. Then start from the example, write the file, and reread it as a newcomer with no history of this session.

Tests for a line

A hundred years. No commands, flags, paths, file or function names, dependency choices, tuned values, plans, status or bug stories. Keep the lesson and move the mechanics to their owner. The one exception is a pointer to an owner (a readme or a skill), which exists so the detail can live there.
A thousand people. A newcomer can act on it without knowing this session, this author or this month's work.
Changes what they do. Delete a line a capable contributor already follows.
Plain and concrete. A principle is not an abstraction. "Look at the picture" works; "match verification to the claim" doesn't. Prefer a short sentence with its consequence, and one example from the product over a general noun.
Iteration speed. This is the core principle and must be stated outright: optimize the time to feedback you can trust, run the narrowest check that answers the question, and run everything once, when the spec's implementation is finished. Flag any rule that adds process to every loop, puts the full run before a commit, merge, push or finished feature, or names checkpoints for it along the way. The full run comes earlier only when the next piece of work can't be trusted without it. Never trade away a real acceptance requirement for speed.

Shape

assets/example-agents.md is an AGENTS.md any project can adopt, and it owns the section order. Read it before judging the shape or rewriting.

To adopt it, copy it and resolve every <…>; none may survive into the project's file.

<skill: name> names a skill from the pack this skill ships in. Replace it with a link to that skill where the project installs it. If the project doesn't have the skill, drop the pointer and keep the principle.
<skill: the project's own …> stands for a skill only this project has. Link it, or delete the sentence.
Every other <…> is filled from the project's readme.

Delete a section the project doesn't need; add one only for a principle that fits nowhere else.

Bundled files

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

assets/example-agents.md5 KB

Frequently asked questions

What does the Audit Agents AI skill do?

Audit or rewrite AGENTS.md so it holds only lasting principles. Run it only when the user asks for it by name; never invoke it on your own.

Why use Audit Agents on TypingMind?

Because you install it once and use it with any model. Audit Agents 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 Agents in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dzhng/skills/tree/main/skills/authoring/audit-agents. 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 Agents?

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 Agents?

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

Is the Audit Agents AI skill free?

Yes. It is published on GitHub by dzhng 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Audit Agents

Workflow

Tests for a line

Shape

Bundled files

Frequently asked questions

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