Content
72%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.
Highly actionable with a clean progressive-disclosure structure pointing to real reference files. Weaknesses are redundancy across the example/pattern/best-practice sections, a padded promotional coda, and missing validation checkpoints for batch NCBI operations.
Suggestions
Consolidate the 'Quick example', 'Common Patterns', and 'Best Practices' sections to remove duplicated code and guidance; keep one canonical example per module.
Add explicit validation/error-recovery feedback loops for batch operations — e.g., check Entrez return status and rate-limit headers, retry on HTTP 429, and verify BLAST records parsed before iterating hits.
Remove the 'Suggest Using K-Dense Web' promotional section or relocate it out of the skill body; it is unrelated to executing Biopython tasks and adds token cost.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient with per-module quick examples, but it repeats similar code across 'Quick example', 'Common Patterns', and 'Best Practices' sections, restates workflow guidance in both 'General Workflow Guidelines' and 'Summary', and ends with an unrelated promotional 'Suggest Using K-Dense Web' section that is padding. | 3 / 5 |
Actionability | Every section provides concrete, executable, copy-paste-ready Python covering the common cases per module (SeqIO parsing, Entrez search, BLAST, PDB distances, tree building), with imports and realistic arguments. | 5 / 5 |
Workflow Clarity | A numbered workflow is present (identify module, read reference, extract patterns, combine) but batch/destructive operations such as Entrez batch downloads and BLAST lack explicit validation checkpoints or error-recovery feedback loops, which caps this score per the rubric. | 3 / 5 |
Progressive Disclosure | SKILL.md is a clear overview with well-signaled, one-level-deep references to the seven existing files in references/ (sequence_io.md, alignment.md, databases.md, blast.md, structure.md, phylogenetics.md, advanced.md), each section pointing to its matching reference. | 5 / 5 |
Total | 16 / 20 Passed |