Content
63%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 highly actionable with per-module executable examples and well-sequenced workflows, but it functions as a full API reference rather than an overview. Moving the parameter tables into module_reference.md and surfacing the scripts/ files would align it with progressive-disclosure best practice.
Suggestions
Slim the per-module sections to a one-line purpose summary plus a single canonical example, and delegate the full parameter tables to references/module_reference.md (which already contains them) to remove the duplication.
Fix the Installation section: 'uv uv pip install gget' is a doubled command and the 'Or using pip' alternative actually runs 'uv pip install --upgrade gget'; show 'uv pip install gget' and 'pip install --upgrade gget' respectively.
Document the scripts/ bundle files (batch_sequence_analysis.py, enrichment_pipeline.py, gene_analysis.py) in the Resources section — or remove them — since they are currently unreachable from the SKILL.md navigation.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The ~500-line per-module parameter reference in the body duplicates the comprehensive parameter reference already provided in references/module_reference.md, so much of the body could be trimmed without loss. It is dense and free of concept-explanation padding, which keeps it above anchor 2's fluff, but it is far from the lean overview a SKILL.md should be. | 3 / 5 |
Actionability | Nearly every module ships executable bash and Python examples with real Ensembl IDs and sequences, plus six concrete workflows. Minor gaps: truncated placeholder sequences ('MKWMFK...') in a few Python examples and a broken install block ('uv uv pip install gget', and the 'Or using pip' path actually runs 'uv pip install --upgrade gget'). | 4 / 5 |
Workflow Clarity | All six workflows present clear numbered sequences of concrete calls, but validation checkpoints are implicit (e.g., no step verifying search results before feeding IDs to gget.info). The operations are read-only queries, so the destructive-operation cap does not apply, but the missing checkpoints keep it below anchor 5. | 4 / 5 |
Progressive Disclosure | The Resources section clearly signals the three one-level-deep reference files (all verified present with matching content), but the body inlines the bulk parameter detail that belongs in module_reference.md, and the three scripts/*.py bundle files (batch_sequence_analysis.py, enrichment_pipeline.py, gene_analysis.py) are never mentioned anywhere, leaving them undiscoverable. | 3 / 5 |
Total | 14 / 20 Passed |