Utility Pm Skill Auditor logo

Utility Pm Skill Auditor

Organization
product-on-purpose
utility-pm-skill-auditor

Run a repo-wide cross-cutting governance audit via the pm-skill-auditor sub-agent. Aggregates the enforcing validator suite, re-derives aggregate counters, and surfaces cross-cutting issues no single validator catches, graded P0/P1/P2/P3 with a machine-readable status. Use for pre-release readiness checks or a periodic repo health audit.

Overview

Publisherproduct-on-purpose
Repositorypm-skills
Skill nameutility-pm-skill-auditor
Stars
717
Forks
92
Bundled files
4
LicenseApache-2.0
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.

  • 4 bundled files

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

  • Open source

    Published by product-on-purpose on GitHub. Read the source before you install it.

Installation

Install the Utility Pm Skill Auditor 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/product-on-purpose/pm-skills/tree/main/skills/utility-pm-skill-auditor
  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/product-on-purpose/pm-skills.git /tmp/pm-skills
mkdir -p .claude/skills
cp -r /tmp/pm-skills/skills/utility-pm-skill-auditor .claude/skills/utility-pm-skill-auditor
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Utility Pm Skill Auditor 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 Utility Pm Skill Auditor 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 Utility Pm Skill Auditor 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.

PM Skill Auditor (Dispatch Skill)

Cross-client dispatch wrapper for the pm-skill-auditor sub-agent. Detects runtime; dispatches to the native sub-agent on Claude Code; reads agents/pm-skill-auditor.md and executes inline on non-Claude clients.

When to Use

  • You need a repo-wide audit pass: all enforcing validators, cross-cutting checks (skill-without-command, sample gaps, family contract orphans, etc.), and aggregate counter re-derivation against declared values in CONTEXT.md + AGENTS.md + README.md
  • You are running on a non-Claude AI client without native pm-skill-auditor sub-agent support
  • You are running on Claude Code and prefer skill-invocation semantics (e.g., for chaining inside a workflow that also uses other dispatch skills)

When NOT to Use

  • You want to review a specific PM artifact (PRD, OKR, persona) -> use utility-pm-critic instead
  • You want to draft a CHANGELOG entry -> use utility-pm-changelog-curator (ships in Phase 4)
  • You want to ship a release -> use utility-pm-release-conductor (ships in Phase 5)
  • You want to FIX issues found in an audit -> the auditor is detection-only; remediation is maintainer judgment or future pm-frontmatter-doctor (v2.17+)
  • You want a deep, single-skill check against the authoring conventions -> use utility-pm-skill-validate. The auditor goes wide across the catalog; it does not go deep on one skill.

Instructions

Runtime detection step. Determine which AI client is invoking this skill.

If you are running in Claude Code with the pm-skills plugin installed

Invoke @agent-pm-skills:pm-skill-auditor on the repo. Pass any scope arguments from $ARGUMENTS (e.g., --scope changed, --since-tag v2.15.0, --severity-floor P1). Return the sub-agent's audit report to the user.

If you are running in any other AI client

Codex CLI, Cursor, Windsurf, Copilot, Gemini CLI, or any other client without native pm-skills plugin sub-agent support:

  1. Read the canonical sub-agent definition at agents/pm-skill-auditor.md
  2. Execute the system prompt body in that file as your operating instructions for this turn
  3. Run the four-step audit flow:
    • Step 1: Invoke validators via Bash (prefer bash scripts/pre-tag-validate.sh as canonical entry point)
    • Step 2: Run cross-cutting checks from the catalog at docs/internal/release-plans/v2.16.0/spec_pm-skill-auditor.md#cross-cutting-check-catalog
    • Step 3: Re-derive aggregate counters from filesystem and compare to declared values
    • Step 4: Compose layered output report
  4. Apply scope and severity-floor arguments from $ARGUMENTS
  5. Return the layered output per master plan D26 (full report + Status Summary + Status YAML)

Cross-Client Notes

See Sub-Agent Compatibility Matrix for the canonical cross-client status. Summary for this skill as of v2.16.0: PRODUCTION on Claude Code + Codex CLI (Codex CLI successfully invoked the validator suite via Bash + produced a layered audit report with re-derived aggregate counters); EXPERIMENTAL on Cursor / Windsurf / Copilot CLI / Gemini CLI.

The "read canonical agent definition and execute inline" pattern depends on the AI client being able to:

  1. Read a referenced file path
  2. Execute Bash to invoke validator scripts
  3. Treat the agent definition body as operating instructions for the current turn

Most AI clients support all three. If any are unreliable on a specific client, that client falls back to manual validator invocation + manual cross-cutting checks.

Reference Files

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 Utility Pm Skill Auditor AI skill do?

Run a repo-wide cross-cutting governance audit via the pm-skill-auditor sub-agent. Aggregates the enforcing validator suite, re-derives aggregate counters, and surfaces cross-cutting issues no single validator catches, graded P0/P1/P2/P3 with a machine-readable status. Use for pre-release readiness checks or a periodic repo health audit.

Why use Utility Pm Skill Auditor on TypingMind?

Because you install it once and use it with any model. Utility Pm Skill Auditor 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 Utility Pm Skill Auditor in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/product-on-purpose/pm-skills/tree/main/skills/utility-pm-skill-auditor. 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 Utility Pm Skill Auditor?

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 Utility Pm Skill Auditor?

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

Is the Utility Pm Skill Auditor AI skill free?

Yes. It is published on GitHub by product-on-purpose under the Apache-2.0 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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