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Utility Pm Skill Validate

  • 469 installs
  • 518 repo stars
  • Updated August 4, 2026
  • product-on-purpose/pm-skills

utility-pm-skill-validate is a product-management skill from pm-skills that helps developers and PMs validate scope, assumptions, and readiness before committing to AI and agent-building work.

About

utility-pm-skill-validate is a skill from the product-on-purpose/pm-skills collection aimed at validation tasks during product planning. It supports checking whether a proposed feature, agent workflow, or AI initiative has clear scope, testable assumptions, and enough evidence to proceed into implementation. Developers and PMs reach for utility-pm-skill-validate at decision gates where agent-building ideas need structured scrutiny instead of immediate coding. The skill complements technical build skills by forcing explicit validation criteria before agents are tasked with large implementation efforts.

  • utility-pm-skill-validate
  • AI & Agent Building
  • AI-coding skill

Utility Pm Skill Validate by the numbers

  • 469 all-time installs (skills.sh)
  • +24 installs in the week ending Aug 4, 2026 (Skillselion tracking)
  • Ranked #1,845 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/product-on-purpose/pm-skills --skill utility-pm-skill-validate

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Listed on Skillselion
Installs469
repo stars518
Last updatedAugust 4, 2026
Repositoryproduct-on-purpose/pm-skills

How do you validate product scope before building?

Helps with ai & agent building tasks.

Who is it for?

Developers and PMs who need a structured validation pass before launching agent or AI feature implementation.

Skip if: Teams already past validation who need detailed coding, testing, or deployment skills instead of scope review.

When should I use this skill?

A new AI or agent feature proposal needs scope validation, assumption checks, or a go-no-go decision before build work starts.

What you get

Validated scope documents, assumption checklists, go-or-no-go criteria, and feasibility notes for planned features.

  • validation checklists
  • scope summaries
  • go-no-go criteria

Files

SKILL.mdMarkdownGitHub ↗

PM Skill Validate

This skill audits an existing pm-skills skill against the repo's structural conventions and quality criteria. It produces a validation report that a human can scan and that utility-pm-skill-iterate can consume as input.

The validator checks two tiers:

  • Tier 1 (Structural) - deterministic checks that mirror CI: frontmatter,

naming, file presence, description word count.

  • Tier 2 (Quality) - LLM-assessed coherence checks: does the output

contract reference the template? Is the example complete? Are checklist items testable?

When to Use

  • After creating a skill with utility-pm-skill-builder, before shipping
  • After manually editing a skill, to confirm it still passes conventions
  • Before running utility-pm-skill-iterate, to identify what needs improvement
  • When a convention changes, to audit which skills need updating (batch mode)
  • When reviewing a contributed skill for quality and completeness

When NOT to Use

  • To create a new skill from scratch -> use utility-pm-skill-builder
  • To fix or improve a skill -> use utility-pm-skill-iterate (feed it this report)
  • To run CI checks in a pipeline -> use scripts/lint-skills-frontmatter.sh

(this skill is for interactive, deeper-than-CI validation)

Instructions

When asked to validate a skill, follow these steps:

Step 1: Identify the Target

Accept the skill name in any form:

  • Directory name: deliver-prd
  • Full path: skills/deliver-prd/SKILL.md
  • Slash command: deliver-prd

Resolve to the canonical directory path: skills/{name}/.

If the skill directory does not exist, report immediately:

# Validation Report: {input}
Result: FAIL
Skill directory `skills/{input}/` does not exist.

Batch mode: If the input is --all, run Tier 1 structural checks across all skills and produce a summary table (see Step 5). Do not run Tier 2 in batch mode.

Step 2: Read Skill Files

Read all files in the skill directory:

FileRequiredPurpose
SKILL.mdyesFrontmatter + instructions
references/TEMPLATE.mdyesOutput template
references/EXAMPLE.mdyesWorked example
HISTORY.mdnoVersion history (if present)
evals/trigger-fixtures.jsonnoRouting-eval fixtures (B-4); present for roster skills
evals/output-scenarios/*.mdnoOutput-quality scenarios (B-7); present for evaled skills

Also read:

  • The corresponding command file: commands/{command-name}.md
  • The AGENTS.md entry for this skill

If reading files is not possible (MCP/embedded environment), ask the user to paste the content of each file before proceeding (see Degraded Mode).

Step 3: Run Tier 1 - Structural Checks

Run these deterministic checks. Each produces a PASS or FAIL line.

Check IDWhat to checkPass condition
frontmatter-at-byte-zeroFirst line of SKILL.md, references/TEMPLATE.md, references/EXAMPLE.md is exactly ---Line 1 is the opening --- fence with no preceding HTML comment, BOM, or whitespace. Severity: FAIL. Reference: library/skill-output-samples/SAMPLE_CREATION.md Section 5.
name-matchFrontmatter name matches directory nameExact string match
description-presentFrontmatter description existsNon-empty value
description-lengthDescription word count20-100 words
version-presentFrontmatter version existsNon-empty, valid SemVer
updated-presentFrontmatter updated existsNon-empty, ISO date
license-presentFrontmatter license existsNon-empty value
phase-classificationPhase/classification consistencyDomain has phase:, foundation/utility has classification:, not both
template-existsreferences/TEMPLATE.md existsFile present
template-sectionsTEMPLATE.md has sufficient structure≥3 ## level-2 headers
example-existsreferences/EXAMPLE.md existsFile present
command-existsCommand file exists in commands/File present and references correct skill path
agents-entryAGENTS.md has an entry for this skillEntry exists with matching **Path:**
eval-trigger-fixturesRouting fixtures present + well-formed (B-4)If evals/trigger-fixtures.json exists: schema:1, skill matches dir, >=16 queries, >=8 per class (trigger / no-trigger), >=2 near-misses. If absent: INFO (not in the trigger-eval roster, or fixtures not yet authored). Authoritative gate: scripts/check-trigger-fixtures.mjs.
eval-output-scenariosOutput scenarios present + well-formed (B-7)If evals/output-scenarios/*.md exist: each has scenario/skill/family frontmatter, skill matches dir, family maps to an existing docs/internal/eval-rubrics/{family}.md, body >=100 chars. If absent: INFO (not yet output-evaled). Authoritative gate: scripts/check-output-eval-assets.mjs.
reciprocal-boundary-pointersDeclared collision pairs cross-point (C-5)If the skill appears in COLLISION_PAIRS (scripts/check-trigger-fixtures.mjs): its When NOT to Use names each partner AND each partner's When NOT to Use names it back. FAIL if a declared pair is one-directional. If not in any pair: PASS. Authoritative gate: scripts/check-reciprocal-boundary-pointers.mjs.

Step 4: Run Tier 2 - Quality Checks

Run these LLM-assessed checks. Each produces a PASS, WARN, or INFO line. Tier 2 findings are capped at WARN unless objectively grounded (placeholder leakage is the exception - it can FAIL).

Check IDWhat to assessHow to assessMax severity
output-contract-coverageSKILL.md references the templateCheck for explicit reference to references/TEMPLATE.md or "use the template" in an Output section. Accept either pattern as valid. WARN only if template is not referenced at all.WARN
checklist-verifiabilityQuality checklist items are testableRead each checklist item. Flag items that are vague ("is good quality") vs. specific ("metrics are measurable"). WARN if ≥2 items are vague.WARN
example-completenessEXAMPLE.md fills all template sectionsCompare ## headers in TEMPLATE.md against ## headers in EXAMPLE.md. WARN if EXAMPLE.md is missing sections that appear in the template. Also check for unresolved placeholders. Line count is informational only - report it but do not gate on it.WARN
template-example-alignmentEXAMPLE.md follows TEMPLATE.md structureCompare section header ordering. WARN if EXAMPLE.md has sections in a different order or uses different header names than TEMPLATE.md.WARN
description-actionabilityDescription tells when to use the skillCheck for a trigger phrase like "Use when..." or "Use for..." in the frontmatter description. WARN if the description only says what the skill does without indicating when to use it.WARN
instruction-clarityInstructions are numbered and imperativeCheck for ### Step headings or a numbered list pattern in the Instructions section. WARN if instructions are prose paragraphs without clear step structure.WARN
placeholder-leakageNo leftover scaffolding in any shipped fileScan SKILL.md, TEMPLATE.md, and EXAMPLE.md for: [Placeholder] or [Feature Name] patterns, <!-- ... --> HTML comments (except the license header), template guidance blockquotes that should have been removed, and authoring notes like "TODO" or "FIXME". FAIL if any are found - this is objectively grounded.FAIL
when-not-to-use"When NOT to Use" section present and names neighborsCheck for a When NOT to Use section that names the skill's nearest neighbors (when to use them instead). WARN if the section is absent, or present but generic (no neighbor named). This became a convention in the v2.26.0 rewrites and underpins the reciprocity gate; reciprocal-boundary-pointers (Tier 1) is the deterministic backstop for declared collision pairs.WARN

Quality standard framing: These checks validate against current library conventions - what the shipped library actually does today. Findings graded WARN or INFO represent the v2.8 quality standard that newer skills (built with utility-pm-skill-builder) meet. Older skills may legitimately receive these findings until iterated through the lifecycle.

Step 5: Produce the Validation Report

Assemble the report using this exact structure. F-11 (utility-pm-skill-iterate) parses this report by section headings and pipe-delimited fields.

# Validation Report: {skill-name}
Date: {YYYY-MM-DD}
Skill version: {version from frontmatter}
Validator version: 1.0.0
Report schema: v1
Result: {PASS | WARN | FAIL}

## Summary
{1-2 sentence overall assessment.}
Errors: {n} | Warnings: {n} | Info: {n}

> Tier 2 findings are heuristic quality assessments and may require human review.

## Structural Checks
- {STATUS} | structural | {check-id} | {message}
- {STATUS} | structural | {check-id} | {message}
...

## Quality Checks
- {STATUS} | quality | {check-id} | {message}
- {STATUS} | quality | {check-id} | {message}
...

## Recommendations
1. {STATUS} | {check-id} | Target: {file-path}
   Action: {what to do}
2. {STATUS} | {check-id} | Target: {file-path}
   Action: {what to do}
...

Report rules:

  • Result = worst severity found: any FAIL → FAIL, else any WARN → WARN, else PASS.
  • Structural Checks: one line per Tier 1 check. STATUS is PASS or FAIL.
  • Quality Checks: one line per Tier 2 check. STATUS is PASS, WARN, or INFO.
  • Recommendations: only include checks that did NOT pass. Each recommendation

includes the check ID, the target file path, and a specific action.

  • If all checks pass, the Recommendations section should say: "No issues found."
  • Omit passing checks from Recommendations - only list findings that need action.

Batch mode output (when input is --all):

Run Tier 1 structural checks only across all skills. Produce a summary table:

# Batch Validation Summary
Date: {YYYY-MM-DD}
Validator version: 1.0.0
Report schema: v1
Skills checked: {n}

| Skill | Result | Errors | Warnings |
|-------|--------|--------|----------|
| deliver-prd | PASS | 0 | 0 |
| define-hypothesis | WARN | 0 | 1 |
| foundation-persona | FAIL | 1 | 0 |
...

Skills passing: {n}/{total}
Run `utility-pm-skill-validate {skill}` for a detailed report.

Degraded Mode

If you cannot read skill files directly (e.g., running via MCP or in an embedded environment without file system access):

1. Ask the user to provide the content of each required file:

  • skills/{name}/SKILL.md
  • skills/{name}/references/TEMPLATE.md
  • skills/{name}/references/EXAMPLE.md

2. Run all checks against the provided content. 3. Note in the report: "Validated from user-provided content (file system not available)." 4. Batch mode is not available in degraded mode - single skill only.

Output Contract

The validator MUST produce a validation report following the format in Step 5.

The report:

  • Uses the exact section headings: ## Summary, ## Structural Checks,

## Quality Checks, ## Recommendations

  • Uses pipe-delimited check lines: STATUS | TIER | CHECK-ID | message
  • Uses pipe-delimited recommendations: STATUS | CHECK-ID | Target: path

followed by Action: description on the next line

  • Includes Report schema: v1 in the header for F-11 compatibility
  • Includes the Tier 2 caveat line in the Summary section

Quality Checklist

Before delivering the report, verify:

  • [ ] All Tier 1 structural checks were run (not skipped), including the eval-asset checks (eval-trigger-fixtures, eval-output-scenarios, reciprocal-boundary-pointers); absent eval assets are INFO, not FAIL, except a one-directional declared collision pair which FAILs
  • [ ] All Tier 2 quality checks were run (not skipped) - single skill mode only
  • [ ] Report follows the exact section and line format from Step 5
  • [ ] Every non-passing check appears in Recommendations with a target file path
  • [ ] Result field reflects the worst severity found
  • [ ] Tier 2 findings are capped at WARN (except placeholder-leakage which can FAIL)
  • [ ] No Tier 2 check was marked FAIL unless objectively grounded

Examples

See references/EXAMPLE.md for a completed validation report demonstrating both Tier 1 and Tier 2 checks against a real shipped skill.

Related skills

FAQ

What does utility-pm-skill-validate do?

utility-pm-skill-validate runs structured product validation before build work begins. The skill checks scope clarity, key assumptions, and readiness criteria for AI and agent-building initiatives so teams avoid coding unproven ideas.

When should teams invoke utility-pm-skill-validate?

utility-pm-skill-validate fits early decision gates when a feature or agent workflow is proposed but evidence, scope, and success criteria are not yet confirmed sufficient for implementation.

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