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Skill reviewer

Skill zrosenbauer/skills/skills/skill-reviewer

Personal monorepo of agent skills (SKILL.md format) — agent-agnostic, works with Claude Code, Cursor, Codex, and others.

Install
npx -y skills add zrosenbauer/skills --skill skill-reviewer

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

This skill should be used when the user wants to review, audit, or sanity-check an existing agent skill in this repo against authoring conventions. Common triggers include "review the X skill", "audit this skill", "check skill X against repo conventions", "is this skill any good", "second opinion on skill X", "sanity check skill X", and "review skill X before publishing". Produces a severity-tiered report (error / warn / info) with a Clean section even on pass, and classifies the skill type. Skip when authoring a brand-new skill (use skill-creator) or running general code review (use code-reviewer).

SKILL.md

11.6 KB, as published. Nobody here has run it

skill-reviewer

Reviews an existing skill in this repo against authoring conventions. Produces a severity-tiered report (error / warn / info) plus a Clean section, and classifies the skill type.

Inputs

$ARGUMENTS — one of:

  • A skill name (ts-best-practices) — looks under skills/<name>/ then .agents/skills/<name>/
  • A path (skills/foo/SKILL.md or skills/foo)
  • Empty — ask: "Which skill should I review?"

Workflow

1. Resolve target + run lint baseline

Locate the skill directory. Confirm SKILL.md exists. Run:

pnpm skill-toolkit lint <skill-name>

Capture the lint output verbatim — it's the floor, not the ceiling. Lint passing means mechanical rules pass; it does not mean the skill is well-authored.

2. Classify the skill type

Pick exactly one — this dictates which audit lens to apply:

TypeExamplesAudit focus
Discipline"always run the test", "never use any", "always use Result"Rationalization table present? Body covers the realistic rationalizations?
Technique"use ts-pattern for branching", "use zod for parsing"Triggers cover phrasings? Workflow is concrete (not abstract)?
Pattern"use *Params for ≥2-arg fns", "kebab-case files"Description's Skip when covers counter-examples + recognition (when NOT to fire)?
Reference"API X works like…", "convention Y says…"Declines questions outside its scope? Reference depth matches the surface it claims?

State the classification explicitly. If you can't classify it cleanly, that's itself a finding (the skill's purpose is fuzzy).

3. Read the deep references — not just the lint summary

Lint enforces frontmatter shape, naming, anti-shortcut words. Deep references cover what lint can't:

If you skip these and only cite lint-checklist.md, you're guessing at depth.

4. Audit frontmatter + description

Beyond the lint pass:

  • Description has all 3+ verbatim triggers in double quotes
  • Description has an explicit Skip when … clause naming what the skill does NOT do
  • Triggers in description are realistic (a real user would say them) — not abstract teacher-ese
  • Description states what's distinctive ("Bakes in …") — not just what the skill does
  • Body does NOT contain ## When to use / ## When NOT to use sections — routing is the description's job, and dispatchers never read the body anyway; duplicating triggers wastes tokens and creates drift risk (warn if present)
  • Claude Code extension fields present where applicable (argument-hint, user-invocable, optionally disable-model-invocation and allowed-tools) and fenced behind the # --- Claude Code extensions comment. Flag any use of fabricated fields (model-invocable, metadata) — these aren't in the official Claude Code spec; see skill-creator/references/frontmatter.md.

5. Audit body

  • ≥ 3 ## sections
  • At least one <example> block
  • No TODO / FIXME / XXX
  • Workflow steps are numbered actions (not prose)
  • Discipline skills SHOULD have a ## Rationalization table section (per skill-creator step 6) — its absence on a discipline skill is a warn
  • Body ≤ 500 lines

6. Emit severity-tiered output (with Clean section, even on pass)

Use this exact format. The Clean section is mandatory — it forces grounding the verdict in specific rules rather than vibes.

SUMMARY: <N> findings (<E> error / <W> warn / <I> info) — <skill-type> skill

## ERRORS
✗ <file>:<line>  <one-line-finding>
  <body — what's wrong, why it matters, suggested edit>

## WARNS
⚠ <file>:<line>  <one-line-finding>
  <body>

## INFOS
ℹ <file>:<line>  <one-line-finding>
  <body>

## Clean
- <specific rule that passes — e.g., "Description has 5 verbatim triggers in double quotes (description.md:38)">
- <another specific rule>
- <`pnpm skill-toolkit lint <name>` — <pass/fail summary>>

Empty severity sections render as ## ERRORS\n(none) — keeps the shape comparable across runs. A pass verdict is 0 error / 0 warn / 0 info plus a populated Clean section.

Anti-patterns (don't do these)

<bad> "Looks solid, ship it." </bad>

No grounding. The pass verdict carries no information the user can act on or revisit later. Use a Clean section listing specific rules.

<bad> "Lint passes, looks fine." </bad>

Lint is the floor. This is the lazy-reviewer failure mode — see step 3.

<bad> Manufactured nits because the skill seemed *too* clean and the reviewer wanted to look thorough. </bad>

If a skill genuinely has 0 findings, say so in the Clean section. Inventing critique to look thorough is worse than missing real issues.

Examples

<example> <input>"review skills/ts-best-practices — does it still hold up against our conventions?"</input> <output> 1. Resolve: `skills/ts-best-practices/`. Run `pnpm skill-toolkit lint ts-best-practices` → clean. 2. Classify: **discipline skill** (rules like "use *Params for ≥2-arg fns", "JSDoc on exports"). 3. Read deep references: `description.md`, `frontmatter.md`, `xml-usage.md`. 4. Frontmatter audit: trigger parity drift — `SKILL.md` has 6 triggers, `description` and `README.md` have 5. Description missing `"audit this ts file"`. 5. Body audit: rationalization table present (good — discipline skill). `@pkg/fp` in conditionals table leaks an internal-monorepo assumption. 6. Emit:
SUMMARY: 3 findings (0 error / 2 warn / 1 info) — discipline skill

## ERRORS
(none)

## WARNS
⚠ description (SKILL.md:5)  trigger parity drift vs. README.md (5 vs 6 triggers; missing "audit this ts file")
  Add the missing trigger to description and README — the description is the dispatcher's surface.
⚠ SKILL.md:184  `@pkg/fp` reference leaks a private-monorepo assumption into a public skill
  Replace with "ternary helper" or add a one-line reference link.

## INFOS
ℹ description (SKILL.md:11)  Skip-when bundles two cases with an em dash
  Split the framework case (React/Vue/Svelte) from the functional-refactor redirect.

## Clean
- Description has Use-when phrase + 5 verbatim triggers in double quotes (description.md:38)
- Frontmatter has the documented Claude Code extension fields (argument-hint, user-invocable)
- Body has 2 <example> blocks (xml-usage.md ≥ 1 required)
- Rationalization table present — appropriate for a discipline skill (skill-creator step 6)
- pnpm skill-toolkit lint ts-best-practices — 0 error / 0 warn / 0 info
</output> </example> <example> <input>"sanity-check skills/skill-portability — i think it's fine"</input> <output> Lint clean. Classified as a **technique skill** (replaces ad-hoc provider knowledge with a structured providers.mjs lookup).
SUMMARY: 0 findings (0 error / 0 warn / 0 info) — technique skill

## ERRORS
(none)

## WARNS
(none)

## INFOS
(none)

## Clean
- Description: 720 chars, has Use-when, 5 verbatim triggers, explicit Skip-when (description.md ✓)
- Frontmatter: argument-hint, user-invocable set; no fabricated fields
- Body: ≥ 3 `## ` sections, ≥ 1 `<example>` block, no TODO/FIXME
- Companions: README.md, LICENSE, references/, scripts/ all present
- Single-source-of-truth in providers.mjs reflects the skill's own thesis
- pnpm skill-toolkit lint skill-portability — 0/0/0

Nothing manufactured. If you want depth beyond the structural review, run node skills/skill-portability/scripts/providers.mjs --check to confirm the docUrls are still 200 — that's the skill's own staleness check.

</output> </example>

Rationalization table

Captured from baseline transcripts where reviewers without this skill skipped rules. Future reviewers: recognize your own pattern.

Skipped ruleVerbatim excuseWhy it's wrong
Read deep references beyond lint-checklist.md"relied on lint-checklist summary"Lint enforces mechanical rules; the deep references cover description quality, frontmatter shape, and XML usage rules that lint cannot check
Classify the skill type (discipline / technique / pattern / reference)(omitted entirely)Different types need different audits — discipline skills require a rationalization table; pattern skills need recognition tests; without classification you're applying the wrong lens
Use severity-tiered output (error / warn / info) even on a pass"used numbered findings" / "prose verdict"Comparable output across runs; numbered lists drift in shape; prose ("looks solid") invites manufactured-nits or vague-pass failure modes
Include a Clean section listing what specifically passes"said 'looks solid' / 'ship it'"Pass verdicts without specifics rot — six months later nobody knows what was actually checked. Clean sections force grounding in specific rules

References

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.