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.
Install / Use
npx skills add product-on-purpose/pm-skills --skill utility-pm-skill-auditorInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of utility-pm-skill-auditor
utility-pm-skill-auditor scores 81/100 on our quality scale, 3551st of 4,641 Development & Engineering skills we index.
Its SKILL.md is 4.8 KB long, well organised into 8 sections and no code examples: a solid amount of guidance for an agent.
It has 697 GitHub stars, a meaningful sign that others use it.
Maintenance, license and trust
- The repository was last updated 16 days ago, so utility-pm-skill-auditor is actively maintained.
- It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
utility-pm-skill-auditor compared with similar skills
All 4 of these similar skills score higher than utility-pm-skill-auditor; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| utility-pm-skill-auditor (this skill)by product-on-purpose | 81 | 697 | 16d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 90.1k | 18d ago | CLAUDE.md |
| ai-job-searchby MadsLorentzen | 100 | 44.9k | today | CLAUDE.md |
| claude-howtoby luongnv89 | 100 | 41.7k | 4d ago | CLAUDE.md |
| algorithmic-artby anthropics | 100 | 177.9k | 11d ago | SKILL.md |
Frequently asked questions
- How do I install utility-pm-skill-auditor?
- Run
npx skills add product-on-purpose/pm-skills --skill utility-pm-skill-auditor. The install tabs above show the steps for each supported agent. - Which AI agents does utility-pm-skill-auditor work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is utility-pm-skill-auditor safe to use?
- It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is utility-pm-skill-auditor still maintained?
- The repository was last updated 16 days ago, so utility-pm-skill-auditor is actively maintained.
Skill content
View source on GitHubname: utility-pm-skill-auditor description: 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. license: Apache-2.0 metadata: classification: utility version: "1.1.0" updated: 2026-06-10 category: governance frameworks: [triple-diamond] author: product-on-purpose
<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->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-criticinstead - 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:
- Read the canonical sub-agent definition at
agents/pm-skill-auditor.md - Execute the system prompt body in that file as your operating instructions for this turn
- Run the four-step audit flow:
- Step 1: Invoke validators via Bash (prefer
bash scripts/pre-tag-validate.shas 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
- Step 1: Invoke validators via Bash (prefer
- Apply scope and severity-floor arguments from
$ARGUMENTS - 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:
- Read a referenced file path
- Execute Bash to invoke validator scripts
- 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
- Canonical sub-agent definition:
agents/pm-skill-auditor.md - Behavioral spec:
docs/internal/release-plans/v2.16.0/spec_pm-skill-auditor.md - Runtime components catalog:
docs/reference/runtime-components.md - Cross-cutting check catalog:
docs/internal/release-plans/v2.16.0/spec_pm-skill-auditor.md#cross-cutting-check-catalog - Pre-tag validator bundle:
scripts/pre-tag-validate.{sh,ps1} - Output template:
references/TEMPLATE.md - Worked example:
references/EXAMPLE.md
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
