Content
80%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 is actionable and well-structured with executable examples and a clean reference/scripts split, but workflow clarity is held back by missing validation checkpoints for batch and asynchronous operations, and some content redundancy.
Suggestions
Add explicit validation/feedback steps for batch and asynchronous workflows — e.g., for batch_id_converter.py include verifying output count against input count and handling unmapped IDs; for BLAST show polling getStatus until finished before retrieving results.
Remove the duplicated UniProt mapping example in section 5 (it repeats section 1's code) or cross-reference it instead of restating.
Tighten the 'When to Use This Skill' list, which overlaps the frontmatter description, to focus only on body-specific guidance.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient with executable code and brief key-method lists, but some redundancy (e.g., the identifier-mapping example repeats the UniProt mapping code from section 1) and overlap between 'When to Use' and the description keeps it below level-5 leanness. | 4 / 5 |
Actionability | Provides copy-paste-ready executable code with real method names, parameters, and example IDs throughout, plus concrete CLI invocations for the bundled scripts covering the common cases. | 5 / 5 |
Workflow Clarity | Multi-service workflows are sequenced with numbered steps and script invocations, but batch operations (batch_id_converter.py) and asynchronous BLAST jobs lack explicit validation checkpoints or feedback loops, which the rubric caps at 3. | 3 / 5 |
Progressive Disclosure | Clear overview with well-signaled one-level-deep references to three reference files and four scripts, all verified present, organized in a Resources section for easy navigation. | 5 / 5 |
Total | 17 / 20 Passed |