Content
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is highly actionable with a clear, validated workflow and concrete executable commands. Its main weakness is token efficiency and progressive disclosure: duplicated guidance across Key Rules and the workflow, and a monolithic structure that could offload detail to reference files.
Suggestions
Collapse the "Key Rules" section into the relevant workflow steps to remove duplication of citation-ranking, DOI-canonical, and filter-default guidance.
Move the recommended filter-combo table and the detailed per-paper summary template into a separate reference file, keeping SKILL.md as a lean overview with a one-level-deep pointer.
Trim explanatory prose (e.g. the linguistics/psychology noise aside) since Claude can infer why default filters matter from the flag semantics.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly task-relevant but could be tightened: the "Key Rules" section restates workflow points (citation-is-gold, DOI-as-canonical) and the recommended-filter-combos table duplicates flags already shown in Step 2. | 2 / 3 |
Actionability | Provides fully executable bash commands with concrete flags, exact ID-pattern matching, and a documented inline-Python fallback — copy-paste ready. | 3 / 3 |
Workflow Clarity | Seven clearly sequenced steps with error-recovery feedback (429 rate-limit retry, script-not-found fallback, API-unreachable fallback skills) and a dedup checkpoint; the operations are read-only so no destructive-validation cap applies. | 3 / 3 |
Progressive Disclosure | Well-sectioned but monolithic (~170 lines) with inline filter-combo tables and detailed summary templates that could be split into reference files; the only referenced script is external with an inline fallback rather than a bundled progressive reference. | 2 / 3 |
Total | 10 / 12 Passed |