utility-pm-skill-auditor
Run a repo-wide cross-cutting governance audit via the pm-skill-auditor sub-agent.
Skill by product-on-purpose
Chalk Labs
Need help deploying utility-pm-skill-auditor?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/product-on-purpose-utility-pm-skill-auditor
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: security, agent-building
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/utility-pm-skill-auditor
What's inside
- Skill name
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
- author: product-on-purpose · updated: 2026-06-10 · version: 1.1.0 · category: governance · classification: utility
- Instructions
- 63 lines in SKILL.md · view on GitHub
Files (5)
- HISTORY.md
- SKILL.md
- trigger-fixtures.json · evals/
- EXAMPLE.md · references/
- TEMPLATE.md · references/
SKILL.md (first lines)
<!-- 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-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](../../site/src/content/docs/reference/sub-agent-compatibility.md) 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
- Canonical sub-agent definition: [`agents/pm-skill-auditor.md`](../../agents/pm-skill-auditor.md)
- Behavioral spec: [`docs/internal/release-plans/v2.16.0/spec_pm-skill-auditor.md`](../../docs/internal/release-plans/v2.16.0/spec_pm-skill-auditor.md)
- Runtime components catalog: [`site/src/content/docs/reference/runtime-components.md`](../../site/src/content/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`From product-on-purpose/pm-skills, Apache-2.0.
More from product-on-purpose/pm-skills
- 0.766score
utility-update-pm-skills
product-on-purpose
Checks for newer pm-skills releases, compares local vs.
SkillAFreshness: A★ 758Claude Code +9 - 0.766score
define-hypothesis
product-on-purpose
Defines a testable hypothesis with clear success metrics and a validation approach.
SkillAFreshness: A★ 758Claude Code +9 - 0.766score
define-jtbd-canvas
product-on-purpose
Creates a Jobs to be Done canvas capturing the functional, emotional, and social dimensions of a customer job.
SkillAFreshness: A★ 758Claude Code +9 - 0.766score
define-opportunity-tree
product-on-purpose
Creates an opportunity solution tree connecting a desired outcome to customer opportunities and candidate solutions, preventing solution-first jumps in…
SkillAFreshness: A★ 758Claude Code +9 - 0.766score
define-prioritization-framework
product-on-purpose
Run applicable prioritization frameworks (RICE, ICE, MoSCoW, Weighted Scoring, Kano) against a list of features or initiatives.
SkillAFreshness: A★ 758Claude Code +9 - 0.766score
define-problem-statement
product-on-purpose
Creates a clear problem framing document with user impact, business context, and success criteria.
SkillAFreshness: A★ 758Claude Code +9 - 0.766score
deliver-acceptance-criteria
product-on-purpose
Generates structured Given/When/Then acceptance criteria for a user story or feature slice, covering the happy path, key failure scenarios, and non-functional…
SkillAFreshness: A★ 758Claude Code +9 - 0.766score
deliver-edge-cases
product-on-purpose
Documents edge cases, error states, boundary conditions, race conditions, and recovery paths for a feature - the systematic catalog of what can go wrong and…
SkillAFreshness: A★ 758Claude Code +9 - 0.766score
deliver-launch-checklist
product-on-purpose
Creates a cross-functional pre-launch checklist covering engineering, design, marketing, support, legal, and operations readiness, with owners, dates, and…
SkillAFreshness: A★ 758Claude Code +9 - 0.766score
deliver-prd
product-on-purpose
Creates a comprehensive Product Requirements Document that aligns stakeholders on what to build, why, and how success will be measured.
SkillAFreshness: A★ 758Claude Code +9 - 0.766score
deliver-release-notes
product-on-purpose
Creates user-facing release notes that communicate new features, improvements, and fixes in clear, benefit-focused language.
SkillAFreshness: A★ 758Claude Code +9 - 0.766score
utility-update-pm-skills
product-on-purpose
Validates internet access, compares the locally installed pm-skills version against the latest public release, and updates local files with conflict-aware…
SkillAFreshness: A★ 758Claude Code +9
Signals
- Stars
- 758
- Forks
- 96
- Open issues
- 6
- Last commit (this folder)
- Oct 17, 2026 (15 days ago)
- Last release
- Oct 17, 2026 (14 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 1.1.0
- License
- Apache-2.0
- Repository
- github.com/product-on-purpose/pm-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from product-on-purpose
- 0.766score
utility-update-pm-skills
product-on-purpose
Checks for newer pm-skills releases, compares local vs.
SkillAFreshness: A★ 758Claude Code +9 - 0.766score
define-hypothesis
product-on-purpose
Defines a testable hypothesis with clear success metrics and a validation approach.
SkillAFreshness: A★ 758Claude Code +9 - 0.766score
define-jtbd-canvas
product-on-purpose
Creates a Jobs to be Done canvas capturing the functional, emotional, and social dimensions of a customer job.
SkillAFreshness: A★ 758Claude Code +9 - 0.766score
define-opportunity-tree
product-on-purpose
Creates an opportunity solution tree connecting a desired outcome to customer opportunities and candidate solutions, preventing solution-first jumps in…
SkillAFreshness: A★ 758Claude Code +9 - 0.766score
define-prioritization-framework
product-on-purpose
Run applicable prioritization frameworks (RICE, ICE, MoSCoW, Weighted Scoring, Kano) against a list of features or initiatives.
SkillAFreshness: A★ 758Claude Code +9 - 0.766score
utility-update-pm-skills
product-on-purpose
Validates internet access, compares the locally installed pm-skills version against the latest public release, and updates local files with conflict-aware…
SkillAFreshness: A★ 758Claude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get utility-pm-skill-auditor running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
utility-pm-skill-auditor. Agent Mart. https://agentmart.dev/skills/product-on-purpose-utility-pm-skill-auditor (last updated 2026-10-24)