doronkatz 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+)
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