Content
92%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.
A well-engineered router skill: deterministic script invocation, explicit handling for every routing outcome including honest gaps, and a verified, well-signaled bundle. The only trimmable fat is slight overlap between Step 3 narration rules and the Output Format table.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Nearly every token is repo-specific routing and narration guidance Claude cannot infer (persona statuses, field semantics, honest-gap rules), with no explanations of known concepts. Minor redundancy between the Step 3 bullets and the Output Format table glosses keeps it just below anchor 5. | 4 / 5 |
Actionability | Provides a copy-paste-ready bash invocation with exact flags (--query, --no-api, --time-budget, --experience), the exact JSON fields to read and narrate, and named reference files per step. Fully executable with no pseudocode. | 5 / 5 |
Workflow Clarity | Five steps are clearly sequenced (capture goal, run recommender, narrate, setup path, learning loop) with explicit validation of recommender output via routing_diagnostics and an error-recovery loop ('ask the user to rephrase; never present the beginner fallback as an exact intent match'). | 5 / 5 |
Progressive Disclosure | The body stays an overview and delegates details via a Resources section whose entries (scripts/recommend.py, references/intent_routing.md, references/setup_paths.md, assets/metadata_snapshot.json) all exist as real files, are one level deep, and each carry a one-line purpose statement. | 5 / 5 |
Total | 19 / 20 Passed |