code-stats
Analyze codebase with tokei (fast line counts by language) and difft (semantic AST-aware diffs). Get quick project overview without manual counting. Triggers on: how big is codebase, count lines of code, what languages, show semantic diff, compare files, code statistics.
96
Quality
100%
Does it follow best practices?
Impact
83%
3.95xAverage score across 3 eval scenarios
Passed
No known issues
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 well-crafted skill description that excels across all dimensions. It clearly identifies the specific tools and their capabilities, provides natural trigger terms users would actually say, and explicitly defines when the skill should be activated. The description is concise yet comprehensive, avoiding vague language while maintaining clarity.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'fast line counts by language', 'semantic AST-aware diffs', 'quick project overview', 'compare files'. Names specific tools (tokei, difft) and their purposes. | 3 / 3 |
Completeness | Clearly answers both what (analyze codebase with tokei and difft for line counts and semantic diffs) AND when (explicit 'Triggers on:' clause with multiple natural language triggers). | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural terms users would say: 'how big is codebase', 'count lines of code', 'what languages', 'show semantic diff', 'compare files', 'code statistics'. These are phrases users would naturally use. | 3 / 3 |
Distinctiveness Conflict Risk | Clear niche focusing on code analysis tools (tokei, difft) with specific triggers like 'count lines of code', 'semantic diff', 'code statistics'. Unlikely to conflict with general coding or document skills. | 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 exemplary skill file that demonstrates excellent token efficiency while remaining highly actionable. It provides executable commands, sample output, and a quick reference table without any unnecessary explanation of basic concepts. The progressive disclosure is well-implemented with clear pointers to advanced references.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Extremely lean and efficient. No unnecessary explanations of what tokei or difft are - jumps straight to executable commands. Every section earns its place with practical examples. | 3 / 3 |
Actionability | All commands are copy-paste ready with real flags and options. Includes sample output so Claude knows what to expect. The quick reference table provides immediate lookup for common tasks. | 3 / 3 |
Workflow Clarity | This is a simple tool-usage skill without multi-step destructive operations. The commands are standalone and self-explanatory. The 'When to Use' section clearly signals appropriate contexts. | 3 / 3 |
Progressive Disclosure | Perfect structure: quick start commands upfront, sample output for context, quick reference table for lookup, and clear one-level-deep references to advanced documentation for detailed patterns. | 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
- NeverSight/skills_feed
- Commit
5342bca
- Reviewed
Table of Contents
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