Content
62%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is concise and well-structured with valid one-level-deep references to real bundle files. Its weaknesses are actionability and workflow clarity: it documents signatures rather than giving an executable example, and validation checkpoints for the cache-reuse flow are implicit rather than stated.
Suggestions
Add a short executable example showing how to call SearchTools (e.g. a 3-line Python snippet invoking search() and aggregate_search()) so the skill is copy-paste ready.
Inline the cache-reuse decision rule or at least its pass/fail checkpoint (decide reuse -> if stale, run fresh search) instead of only linking PROMPTS.md, to make the validation feedback loop explicit.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The ~30-line body is lean, avoids explaining concepts Claude already knows, and every line describes a capability or script reference, matching the 'lean and efficient; every token earns its place' anchor. | 3 / 3 |
Actionability | It names scripts and method signatures ('search(query, engine, max_results)', engine list, return types) but provides no executable code snippet or copy-paste example, sitting at 'some concrete guidance but incomplete' rather than fully executable. | 2 / 3 |
Workflow Clarity | Web-search and local-RAG sections give a recognizable sequence and a smart-cache decision step, but the validation/checkpoint for cache reuse is delegated to PROMPTS.md and no explicit verify step is stated inline, so checkpoints are implicit rather than explicit. | 2 / 3 |
Progressive Disclosure | A clear overview points one level deep to real bundle files (scripts/search_tools.py, scripts/hybrid_search.py, references/PROMPTS.md), all of which exist, with content appropriately split and easy to navigate. | 3 / 3 |
Total | 10 / 12 Passed |