Content
82%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is a lean, highly actionable usage guide: copy-paste configuration, concrete prompts for every capability, a score-interpretation table, and problem/solution pitfalls that double as error-recovery guidance. Its only real weaknesses are minor redundancy between the How-It-Works steps and the Examples section, and the absence of an explicit validation checkpoint before acting on scores.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is efficient with no filler explanations of concepts Claude already knows, but has minor trim opportunities: the Overview restates the frontmatter description, and Example 1 ('score it... tell me if it's agent-ready') largely duplicates How-It-Works Step 1. | 4 / 5 |
Actionability | Guidance is fully executable and copy-paste ready: the exact MCP server config JSON, concrete prompts for each usage mode ('Score https://github.com/example/my-mcp-server...', 'Compare supabase-mcp vs firebase-mcp...'), a GitHub Action YAML with a fail-under threshold, and named tools ('aeo_score', 'get_score_breakdown') covering the common cases. | 5 / 5 |
Workflow Clarity | The four usage patterns are clearly sequenced and labeled, and Common Pitfalls provides error recovery ('not found' → scan by URL directly; low score → 'get_score_breakdown') plus a re-check loop in Best Practices. It stops short of anchor 5 because there is no explicit verification checkpoint for acting on a score before adding a tool to production. | 4 / 5 |
Progressive Disclosure | This is a single-file skill (no bundle directories exist) with well-organized, clearly headed sections and no buried or nested references. Content is appropriately placed inline for a skill of this size, though at ~120 lines the examples and score-interpretation table could eventually justify splitting out. | 4 / 5 |
Total | 17 / 20 Passed |