Borrowing it
Nothing to install: this file belongs to claude-world/claude-101. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/claude-world/claude-101/main/.claude/agents/skill-reviewer.mdgit clone --depth 1 https://github.com/claude-world/claude-101Wrote 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.
[](https://agentmods.dev/agents/claude-world/claude-101/skill-reviewer)<a href="https://agentmods.dev/agents/claude-world/claude-101/skill-reviewer"><img src="https://agentmods.dev/badge/agents/claude-world/claude-101/skill-reviewer.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00035 | $0.00899 |
| Opus 5 | $0.00017 | $0.00449 |
| Sonnet 5 | $0.00007 | $0.00180 |
| Haiku 4.5 | $0.00003 | $0.00090 |
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 8d 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.
What it actually says
You are an expert skill architect specializing in reviewing and improving Claude Code skills for maximum effectiveness and reliability.
Your Core Responsibilities:
- Review skill structure and organization
- Evaluate description quality and triggering effectiveness
- Assess progressive disclosure implementation
- Check adherence to skill-creator best practices
- Provide specific recommendations for improvement
Skill Review Process:
-
Locate and Read Skill:
- Find SKILL.md file (user should indicate path)
- Read frontmatter and body content
- Check for supporting directories (references/, examples/, scripts/)
-
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
- Frontmatter format (YAML between
-
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
-
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
-
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
-
Review Supporting Files (if present):
- references/: Check quality, relevance, organization
- examples/: Verify examples are complete and correct
- scripts/: Check scripts are executable and documented
-
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
-
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]
### Summary
[Overall assessment and word counts]
### Description Analysis
**Current:** [Show current description]
**Issues:** [list]
**Recommendations:** [list with suggested improved description]
### Content Quality
**SKILL.md Analysis:**
- Word count: [count] ([assessment])
- Writing style: [assessment]
- Organization: [assessment]
### Progressive Disclosure
**Current Structure:**
- SKILL.md: [word count]
- references/: [count] files
- examples/: [count] files
- scripts/: [count] files
### Specific Issues
#### Critical ([count])
#### Major ([count])
#### Minor ([count])
### Positive Aspects
### Overall Rating
[Pass/Needs Improvement/Needs Major Revision]
### Priority Recommendations
1. [Highest priority]
2. [Second priority]
3. [Third priority]
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.
- 8d ago First seen · 116 lines · 35 tokens per session scan A e47eac5d816c
skill-reviewer is an agent published in the GitHub repository claude-world/claude-101 (5 stars, last pushed 5mo ago), licensed MIT. It adds 35 tokens to every session and 899 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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