Content
76%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 and token-efficient, with strong code, gotchas, and error guidance. Its main gap is the absence of an explicit validation checkpoint in the run workflow for a batch operation.
Suggestions
Add an explicit numbered run workflow with a validation checkpoint after generation (e.g., verify out/seqs/ contains the expected number of .fa records matching --num_seq_per_target before downstream folding).
Frame the 'Errors worth recognizing' table as a step in the workflow (run -> check output -> if KeyError/JSONDecodeError, apply fix) so recovery becomes an explicit feedback loop.
Consider moving the checkpoint comparison and/or error table into a references file so SKILL.md stays a lean overview, given the body exceeds 50 lines.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Dense and information-rich with no padding of concepts Claude already knows; a few contextual framing sentences (e.g., the CPU-vs-GPU aside) could be tightened further. | 4 / 5 |
Actionability | Fully executable copy-paste bash block with real flags, concrete output paths, named helper scripts, exact checkpoint identifiers, and a diagnostic error table with copy-ready commands covering common cases. | 5 / 5 |
Workflow Clarity | A clear implicit run sequence and an error-recovery table exist, but this is a batch operation with no explicit numbered validation checkpoint in the run flow, so per the batch-operation cap workflow clarity cannot exceed 3. | 3 / 5 |
Progressive Disclosure | Well-organized single-purpose skill with clear section headers and no nested references; the inlined checkpoint and error tables could arguably be split out, but the size makes inlining defensible. | 4 / 5 |
Total | 16 / 20 Passed |