Content
86%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 well-organized, actionable skill body that keeps the SKILL.md lean while offloading entity detail to real reference files. The main improvement opportunity is adding explicit verification checkpoints to the bulk filter workflows.
Suggestions
Add an explicit validation step to the bulk/batch filter workflows (e.g. verify the output file is non-empty and well-formed JSON before slimming with jq).
Tighten the Prerequisites section by converting the verbose notification/license paragraphs into a short checklist with a link.
Make the resolve→filter workflow's error-recovery loop explicit (what to do when resolve returns multiple or zero candidates) to strengthen the feedback loop.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is largely lean — terse command docs, rate-limit and error tables, executable examples — with no padding explaining what OpenAlex or a DOI is; a few prerequisite sentences could be trimmed slightly. | 4 / 5 |
Actionability | Fully executable guidance: exact CLI invocations with concrete flags, copy-paste bash workflows (resolve → filter → jq), and specific filter expressions covering the common cases. | 5 / 5 |
Workflow Clarity | Multi-step processes are clearly sequenced with an error-code→action table and download-PDF verification, but bulk filter/batch operations lack explicit validation checkpoints, capping it just below 5. | 4 / 5 |
Progressive Disclosure | Clear overview in SKILL.md with well-signaled, one-level-deep references to verified files (references/works.md, authors.md, sources.md, etc.); entity detail is appropriately split out and easy to navigate. | 5 / 5 |
Total | 18 / 20 Passed |