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.
Excellent instruction-only skill body: executable commands with real endpoints, well-sequenced workflows with genuine validation and feedback loops, and proper routing of per-database detail into verified one-level-deep reference files. The single weakness is minor redundancy in failure-mode documentation, which costs it the top conciseness score.
Suggestions
Deduplicate the HTTP-200 failure catalog: keep one canonical list (either the intro paragraph or Error Recovery step 1) and cross-reference it from the other location instead of repeating the PMC/arXiv/Europe PMC examples verbatim.
State the bioRxiv/medRxiv no-keyword-search fact once (e.g., in the selection guide note) rather than three times across the selection table, preprint paragraph, and Available Databases table.
Convert the 'Fully open (no key)' prose paragraph into a column in the API Keys table (or move it to a reference file) so rate limits sit in one lookup structure instead of two.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and nearly every line is actionable (rate limits, encoding traps, exit codes), but there is trimmable redundancy: the HTTP-200-failure catalog (PMC no-<body>, arXiv 'Error' entry, Europe PMC errCode) appears both in the intro paragraph and again in Error Recovery step 1, and bioRxiv/medRxiv having no keyword search is stated three times. This matches 'efficient; minor instances of over-explanation that could be trimmed' rather than the lean-every-token-earns-its-place 5, and it is clearly above level 3 since nothing is concept-explanation padding Claude already knows. | 4 / 5 |
Actionability | Copy-paste-ready commands cover the common cases: a full curl with --data-urlencode for Europe PMC, header-auth curl for Semantic Scholar, and four executable curl|python3 script pipelines (efetch→jats_to_text, arXiv→arxiv_atom, OpenAlex→openalex_abstract, paginate.py walk), plus exact env var names, rate limits, and per-script exit codes. This is fully executable with specific examples covering common cases; a 4 would require missing key details, which are instead pushed properly into --help and reference files. | 5 / 5 |
Workflow Clarity | A 7-step core workflow with ask-don't-guess checkpoints ('If a constraint that affects correctness is missing... ask rather than guess'), a 5-step error recovery loop starting with 'Check whether it actually failed', and a count-first → paginate → reconcile → fail-visible sequence with script exit codes as explicit validation. This matches the anchor: clear sequence with explicit validation steps and feedback loops; the batch/pagination operations all carry validation (count reconciliation, exit code 4), so the workflow-clarity cap does not apply. | 5 / 5 |
Progressive Disclosure | The body is an overview that routes per-database detail to 18 clearly-signaled one-level-deep files in references/ (all verified to exist, with no nested .md links) via selection-guide and Available Databases tables, and parsing logic to four scripts/ files. The only wrinkle is a mention of tests/paper-lookup/ which does not exist in the bundle, but it is phrased as an instruction for future additions, not a navigation reference. Structure and navigation match the anchor-5 example. | 5 / 5 |
Total | 19 / 20 Passed |