Content
67%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.
The body delivers a clear, actionable journal-recommendation workflow with well-organized one-level-deep references to real bundle files. Its main weakness is a substantial amount of generic, non-journal-specific boilerplate that inflates token cost without adding skill-specific value.
Suggestions
Trim or collapse the generic boilerplate sections ('When Not to Use', 'Output Contract', 'Failure Handling', 'User Checkpoints', 'Input Validation', 'Quick Validation') into a concise, journal-specific checklist, since much of it overlaps and is not specific to this skill.
Replace the generic 'Required Inputs' table with the actual required inputs (manuscript title + abstract, EMAIL config, optional API_KEY) and their if-missing handling.
Show a small filled-in example of the journal_recommendation_template.csv output so the recommendation step is copy-paste concrete rather than described abstractly.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill-specific sections are efficient, but a large block of generic boilerplate ('When Not to Use', 'Required Inputs' table, 'Output Contract', 'Failure Handling', 'User Checkpoints', 'Input Validation', 'Quick Validation') is not journal-specific and could be tightened. | 3 / 5 |
Actionability | Provides a concrete runnable command ('python scripts/pubmed_journal_recommender.py') and references real bundle files (script, CSV template, guide); minor gaps include manual CONFIG editing and abstract template-usage instructions. | 4 / 5 |
Workflow Clarity | Multi-step workflows are clearly sequenced (Example Usage 1–5, Implementation Details 1–4) with explicit user checkpoints and validation guidance, though the validation steps are somewhat generic rather than concrete. | 4 / 5 |
Progressive Disclosure | References to the bundled script, CSV template, and guide.md are one level deep and clearly signaled, with content appropriately split; minor gaps from inlined generic boilerplate and a sparse guide.md. | 4 / 5 |
Total | 15 / 20 Passed |