caveman-review
Ultra-compressed code review comments. Cuts noise from PR feedback while preserving the actionable signal. Each comment is one line: location, problem, fix. Use when user says "review this PR", "code review", "review the diff", "/review", or invokes /caveman-review. Auto-triggers when reviewing pull requests.
100
100%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Advisory
Suggest reviewing before use
Quality
Discovery
100%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a strong skill description that clearly communicates its unique value proposition (compressed, noise-free code review comments), specifies the exact output format (one line: location, problem, fix), and provides comprehensive trigger terms. It uses third person voice throughout and is concise without being vague.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists concrete actions: cuts noise from PR feedback, preserves actionable signal, formats each comment as one line with location/problem/fix. Describes a specific output format and methodology. | 3 / 3 |
Completeness | Clearly answers both what (ultra-compressed code review comments with location/problem/fix format) and when (explicit 'Use when' clause with multiple trigger phrases plus auto-trigger condition). | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural trigger terms: 'review this PR', 'code review', 'review the diff', '/review', '/caveman-review', 'pull requests'. These are terms users would naturally say when requesting code review. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive niche: ultra-compressed, one-line format code review. The specific format constraint (location, problem, fix) and the unique '/caveman-review' command make it clearly distinguishable from a generic code review skill. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is an excellent skill that practices what it preaches — it's terse, actionable, and well-structured. The format specification is precise, the drop/keep lists provide clear guardrails, and the before/after examples powerfully demonstrate the desired output. The Auto-Clarity escape hatch for security findings and onboarding contexts shows thoughtful boundary design.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is lean and efficient throughout. It assumes Claude's intelligence, never explains what code review is, and every section earns its place. The examples demonstrate by contrast (❌ vs ✅) without belaboring the point. | 3 / 3 |
Actionability | Provides an exact format template (`L<line>: <problem>. <fix>.`), concrete severity prefixes, explicit drop/keep lists, and multiple before/after examples that are copy-paste ready. Claude knows exactly what to produce. | 3 / 3 |
Workflow Clarity | This is a single-task skill (produce terse review comments) with an unambiguous output format. The Auto-Clarity section handles the one edge case (when to break terse mode) clearly, and Boundaries define scope. No multi-step destructive process requires validation checkpoints. | 3 / 3 |
Progressive Disclosure | For a skill under 50 lines with no need for external references, the content is well-organized into clear sections (Rules, Examples, Auto-Clarity, Boundaries) that are easy to scan. No external files are needed and none are artificially created. | 3 / 3 |
Total | 12 / 12 Passed |
Validation
100%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
- Repository
- HoangNguyen0403/agent-skills-standard
- Commit
19a1140
- Reviewed
Table of Contents
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