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Self Audit

Community
faizkhairi
self-audit

Run the verify-plan checklist against YOUR OWN plan before finalizing it (before ExitPlanMode), with special emphasis on the consumer audit. Triggers on: 'audit yourself', 'self-audit', 'check your own plan', 'did you check everything', 'verify before exit plan', or automatically before any non-trivial ExitPlanMode. Catches the gap where a rule exists but was not applied at the decision point.

Overview

Publisherfaizkhairi
Repositoryclaude-code-blueprint
Skill nameself-audit
Stars
73
Forks
22
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Self Audit 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/faizkhairi/claude-code-blueprint/tree/main/skills/self-audit
  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/faizkhairi/claude-code-blueprint.git /tmp/claude-code-blueprint
mkdir -p .claude/skills
cp -r /tmp/claude-code-blueprint/skills/self-audit .claude/skills/self-audit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Self Audit 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 Self Audit 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 Self Audit 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.

Self-audit YOUR OWN plan before ExitPlanMode. This is an attention-gap backstop: the verify-plan checklist already exists in this blueprint (the verify-plan agent), but knowing a check and applying it at the right moment are different things. This skill forces the full checklist to run against the plan you just wrote, catching blind spots you missed while heads-down in planning.

When this runs

  • Automatically: before every non-trivial ExitPlanMode (per the Plan-First rule in CLAUDE.md). A plan is non-trivial if it touches more than one file, changes behavior, or modifies config or a shared resource.
  • On demand: when the user says "audit yourself", "did you check everything", and similar.

Skip only for genuinely trivial plans (a single-line typo fix).

What it does

  1. Read the current plan: the plan file named in the plan-mode system message.
  2. Run the verify-plan checklist against the plan, IN ORDER. Do not re-derive it: spawn the verify-plan agent (or read agents/verify-plan.md and follow its checklist) so the same checks that would review someone else's plan now review yours. Report a table: Check | Status (PASS / FAIL / UNCLEAR) | Finding.
  3. Emphasis on the Consumer Audit, the highest-value and most-missed check:
    • Identify every SHARED RESOURCE the plan changes: a token or credential, an env key, a file path, a DB table, an API field, or any string referenced from more than one place.
    • For each, grep BOTH the target repo AND your own global config, because a repo-only search misses consumers that live in your personal setup:
      bash
      # Repo:
      grep -rn "<resource>" .
      # Your own global config (adjust to your layout):
      grep -rn "<resource>" ~/.claude/skills ~/.claude/agents ~/.claude/hooks ~/.claude/rules
    • Every hit is a consumer. Ask: "does the plan repoint or update this, or will it break silently?" If a consumer is not handled in the plan, that is a FAIL: add it to the plan before exiting.
    • This is the exact class of miss where a plan updates a shared value in the repo but leaves stale references in the user's own global config (a repo-only audit reports "zero consumers" while several live outside the repo).
  4. On any FAIL: fix the plan file first, then re-run the failed checks. Only proceed to ExitPlanMode when the audit is clean, or the remaining items are explicitly accepted or deferred with a reason.

Output

A Check | Status | Finding table, then one line: AUDIT CLEAN: safe to ExitPlanMode, or N FINDINGS: fixing plan before exit (with the fixes applied to the plan file).

What this does NOT do

  • It does not review a code diff (a diff review is a separate concern, after the plan is executed).
  • It does not run tests (that is post-execution verification).
  • It does not duplicate the checklist: it runs the verify-plan checks as-is.

Frequently asked questions

What does the Self Audit AI skill do?

Run the verify-plan checklist against YOUR OWN plan before finalizing it (before ExitPlanMode), with special emphasis on the consumer audit. Triggers on: 'audit yourself', 'self-audit', 'check your own plan', 'did you check everything', 'verify before exit plan', or automatically before any non-trivial ExitPlanMode. Catches the gap where a rule exists but was not applied at the decision point.

Why use Self Audit on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/faizkhairi/claude-code-blueprint/tree/main/skills/self-audit. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Self Audit?

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 Self Audit?

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

Is the Self Audit AI skill free?

Yes. It is published on GitHub by faizkhairi 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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