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 tight, efficient skill body with concrete API details and a clear workflow including retry guidance. Its main weaknesses are the absence of an inline example request and the failure to link the existing reference and asset files from the SKILL.md overview.
Suggestions
Link the existing bundle files from the body (e.g., 'See references/worked_examples.md for worked examples' and 'Sample request payloads: assets/sample_search_request.json') so the reference material is discoverable from SKILL.md.
Add one inline example request/response pair (or a one-line invocation of scripts/parallel_search_extract.py) so the workflow is copy-paste executable without opening other files.
Add a brief validation checkpoint after extraction, e.g., verify the returned markdown is non-empty and reflects the objective before summarizing results.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and bullet-driven with no padding or explanations of concepts Claude already knows; every section (purpose, setup, workflow, output shape) earns its tokens. Matches the 'lean and efficient' anchor exactly. | 5 / 5 |
Actionability | Concrete setup (env var, base URL, headers) and exact request fields (objective, search_queries, mode, urls, excerpts, full_content) plus a pointer to a real script, but no inline example request payload or script invocation command. Mostly executable with minor gaps rather than fully copy-paste ready. | 4 / 5 |
Workflow Clarity | Clear sequenced workflow (decide search vs extract, search, extract, error handling) with an explicit retry-with-backoff feedback loop. Falls short of a 5 because there is no validation checkpoint on the extracted output (e.g., verify markdown is non-empty/clean) and no checklist. | 4 / 5 |
Progressive Disclosure | The body is well-organized and references scripts/parallel_search_extract.py (which exists), but it never links references/parallel_api_notes.md, references/worked_examples.md, or the assets/sample_*_request.json files, so key bundle material is unreachable from SKILL.md. References exist in the bundle but are not signaled in the body. | 3 / 5 |
Total | 16 / 20 Passed |