Content
90%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.
An excellent, lean skill body: executable code, concrete query syntax, correct subheading ordering, API-key hygiene, and reproducible-search logging. The only improvements are an explicit error-recovery loop for API calls and offloading the lookup-table catalogs into a reference file.
Suggestions
Add an explicit error-recovery step for E-utilities calls (e.g., on non-200 or transient failure, back off and retry before giving up).
Move the field-tag and filter catalogs into a references/ file (e.g., FIELD_TAGS.md) and link to it, keeping SKILL.md as the overview.
Include a brief rate-limit rule (requests/second with and without an API key) near the code example so the 0.35s sleep is justified.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body never explains what PubMed or MeSH is; it is entirely operational — field-tag tables, executable query strings, a working Python client, and checklists. Only trivial overlap with the description in the intro exists, so nothing material could be trimmed; this fits the 'every token earns its place' anchor. | 5 / 5 |
Actionability | The E-utilities section provides a copy-paste-ready Python function with env-var API key handling, timeout, and raise_for_status(), plus exact endpoint names and concrete query examples like 'diabetes mellitus[mh] AND treatment[tiab] AND systematic review[pt]'. Fully executable guidance covering common cases matches level 5. | 5 / 5 |
Workflow Clarity | A clear query-construction sequence ('Start with the research question, split it into concepts, then combine'), a numbered E-utilities pipeline, a review checklist with validation checkpoints, and an output-discipline log template. It falls short of level 5 because there is no explicit error-recovery loop (e.g., HTTP failure → backoff/retry) for API workflows. | 4 / 5 |
Progressive Disclosure | Sections are well organized and the References are clearly signaled one-level-deep external links (no bundle files exist). However, the full field-tag catalog and filter lists (~60 lines of lookup tables) are inlined in the single SKILL.md; moving them to a reference file would better split content, which is the minor gap that holds this at level 4. | 4 / 5 |
Total | 18 / 20 Passed |