skill-reviewer

A read-only command that summarizes the project's current task list and suggests which available task to do next.

In plain words
What is it for?
Use it for a project-manager-style briefing based on the current task file. It identifies pending tasks whose prerequisites are complete and reports when no task can be started.
Why use it?
It reduces the time spent sorting through project notes and prevents work from starting before its dependencies are finished.

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/tlipoca9/devgen/skill-reviewer
Clone the repo
git clone --depth 1 https://github.com/tlipoca9/devgen
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,371 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 $0.00000 $0.01371
Opus 5 $0.00000 $0.00685
Sonnet 5 $0.00000 $0.00274
Haiku 4.5 $0.00000 $0.00137

Measured 2d ago against content hash fd72869adb4a, 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 2d 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 — 54 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.

.codebuddy/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.


name: skill-reviewer description: Use this agent when the user has created or modified a skill and needs quality review, asks to "review my skill", "check skill quality", "improve skill description", or wants to ensure skill follows best practices. Trigger proactively after skill creation. Examples:

model: inherit color: cyan tools: ["Read", "Grep", "Glob"]

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

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. 2d ago First seen · 185 lines · 0 tokens per session scan A fd72869adb4a

Subscribe to this mod's changes

skill-reviewer is an agent published in the GitHub repository tlipoca9/devgen (5 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,371 tokens. A static security scan graded it A with 0 findings. It is 100% identical to skill-reviewer, differing in 54 lines, and is treated as a copy.