Content
78%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 lean, mostly executable skill body with good structure and a sensible primary/fallback split. Its main weakness is the mismatch between the 'web search' name and fetch-only examples, leaving the core search action under-specified.
Suggestions
Add a concrete example of performing an actual web search (not just fetching a known URL) to match the skill's name and primary capability.
Tighten the Python fallback by moving the pip install into a one-liner and dropping narrative comments like '# Fetch a page'.
Clarify the decision criterion for when to fall back to Python (e.g. 'if web_fetch is unavailable or returns non-HTML') instead of the loose 'if available'.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is efficient with executable snippets and only minor over-explanation (e.g. 'it's faster and cleaner', inline pip install commentary) that could be trimmed; not a 5 because a few tokens do not fully earn their place. | 4 / 5 |
Actionability | Provides copy-paste ready code for both the web_fetch path and the Python fallback, but there is a gap: the skill is named 'web search' yet examples only demonstrate fetching a known URL, not performing an actual search query. | 4 / 5 |
Workflow Clarity | A clear two-path sequence (prefer web_fetch, fallback to Python) with reasonable guidelines; as a simple read-only skill no destructive validation is needed, but the decision criteria between paths are only loosely specified ('if available'). | 4 / 5 |
Progressive Disclosure | Under 50 lines with no bundle files present and no need for external references; content is well-organized into clearly headed sections (web_fetch, Python fallback, Guidelines), meeting the simple-skill exception for a top score. | 5 / 5 |
Total | 17 / 20 Passed |