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.
- Skill ID
- product-on-purpose/pm-skills/utility-pm-skill-auditor
- Publisher
- product-on-purpose
- Repository
- pm-skills
- Installs
- 0
- Files
- 5
- License
- Apache-2.0
- Synced
- Sep 23, 2026
Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.
product-on-purpose/pm-skills/utility-pm-skill-auditorInstalls these files- HISTORY.md
- SKILL.md
- evals/trigger-fixtures.json
- references/EXAMPLE.md
- references/TEMPLATE.md
What this skill tells the agent
<!-- 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
- 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
More from product-on-purpose
Use this skill in a project
Open any RiverX project, search the Skills panel for product-on-purpose/pm-skills/utility-pm-skill-auditor, and install it in one click.
