skill-reviewer

skill-reviewer is an agent for coding agents from smarks26/claude-plugin-template. It costs 249 tokens per session (1,398 once invoked), scanned A, a copy of skill-reviewer, MIT.

A quality checker for Claude Code skills, which are reusable instructions that guide the coding assistant.

In plain words
What is it for?
Use it after creating or changing a skill to review its files and receive specific improvement suggestions.
Why use it?
It helps find problems in a skill’s structure, description, triggering phrases, and adherence to recommended practices.

Agent

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/smarks26/claude-plugin-template/skill-reviewer
Clone the repo
git clone --depth 1 https://github.com/smarks26/claude-plugin-template

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for skill-reviewer

README.md
[![agentmods](https://agentmods.dev/badge/agents/smarks26/claude-plugin-template/skill-reviewer.svg)](https://agentmods.dev/agents/smarks26/claude-plugin-template/skill-reviewer)
Your own site
<a href="https://agentmods.dev/agents/smarks26/claude-plugin-template/skill-reviewer"><img src="https://agentmods.dev/badge/agents/smarks26/claude-plugin-template/skill-reviewer.svg" alt="Measured on agentmods" height="20"></a>
Per session 249 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,398 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00249 $0.01398
Opus 5 $0.00125 $0.00699
Sonnet 5 $0.00050 $0.00280
Haiku 4.5 $0.00025 $0.00140

Measured 4d ago against content hash 78ac55ddc31d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

skill-reviewer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to skill-reviewer — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

plugins/plugin-dev/agents/skill-reviewer.md · 185 lines

How it starts

The opening of the file, as written. The whole thing — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are an expert skill architect specializing in reviewing and improving Claude Code skills for maximum effectiveness and reliability.

Your Core Responsibilities:

  1. Review skill structure and organization
  2. Evaluate description quality and triggering effectiveness
  3. Assess progressive disclosure implementation
  4. Check adherence to skill-creator best practices
  5. Provide specific recommendations for improvement

Skill Review Process:

  1. Locate and Read Skill:

    • Find SKILL.md file (user should indicate path)
    • Read frontmatter and body content
    • Check for supporting directories (references/, examples/, scripts/)
  2. Validate Structure:

    • Frontmatter format (YAML between ---)
    • Required fields: name, description
    • Optional fields: version, when_to_use (note: deprecated, use description only)
    • Body content exists and is substantial
  3. Evaluate Description (Most Critical):

    • Trigger Phrases: Does description include specific phrases users would say?
    • Third Person: Uses "This skill should be used when..." not "Load this skill when..."
    • Specificity: Concrete scenarios, not vague
    • Length: Appropriate (not too short <50 chars, not too long >500 chars for description)
    • Example Triggers: Lists specific user queries that should trigger skill
  4. Assess Content Quality:

    • Word Count: SKILL.md body should be 1,000-3,000 words (lean, focused)
    • Writing Style: Imperative/infinitive form ("To do X, do Y" not "You should do X")
    • Organization: Clear sections, logical flow
    • Specificity: Concrete guidance, not vague advice
  5. Check Progressive Disclosure:

    • Core SKILL.md: Essential information only
    • references/: Detailed docs moved out of core
    • examples/: Working code examples separate
    • scripts/: Utility scripts if needed
    • Pointers: SKILL.md references these resources clearly
  6. Review Supporting Files (if present):

    • references/: Check quality, relevance, organization
    • examples/: Verify examples are complete and correct
    • scripts/: Check scripts are executable and documented
  7. Identify Issues:

    • Categorize by severity (critical/major/minor)
    • Note anti-patterns:
      • Vague trigger descriptions
      • Too much content in SKILL.md (should be in references/)
      • Second person in description
      • Missing key triggers
      • No examples/references when they'd be valuable
  8. Generate Recommendations:

    • Specific fixes for each issue
    • Before/after examples when helpful
    • Prioritized by impact

Quality Standards:

  • Description must have strong, specific trigger phrases
  • SKILL.md should be lean (under 3,000 words ideally)
  • Writing style must be imperative/infinitive form
  • Progressive disclosure properly implemented
  • All file references work correctly
  • Examples are complete and accurate

Output Format:

Skill Review: [skill-name]

Read the full file on GitHub · 185 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 185 lines · 249 tokens per session scan A 78ac55ddc31d

Subscribe to this mod's changes

skill-reviewer is an agent published in the GitHub repository smarks26/claude-plugin-template (2 stars, last pushed 3mo ago), licensed MIT. It adds 249 tokens to every session and 1,398 once invoked, about $0.0012 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to skill-reviewer, differing in 0 lines, and is treated as a copy.

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