Content
87%Weight 40%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A lean, highly actionable skill body with executable commands and well-organized sections. The main gap is the lack of an explicit error-recovery feedback loop for what is a batch operation.
Suggestions
Add an explicit validation/retry step, e.g. 'If qc/somatic_pair_review.json shows failed pairs or low purity, adjust filters and re-run before reporting.'
Note how to detect and recover from a swapped/missing normal (referenced in Decision Points) with a concrete re-run command.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean and efficient with no concept-explanation fluff: it jumps straight to inputs, routing, executable commands, and outputs, assuming Claude's competence throughout. | 3 / 3 |
Actionability | Provides fully executable, copy-paste-ready commands — the preflight, Mutect2 runner, and nf-core invocations — with concrete flags and realistic file paths. | 3 / 3 |
Workflow Clarity | Sequenced routing and a Decision Points checklist provide checkpoints, but for a batch bioinformatics operation there is no explicit validate→fix→retry feedback loop, which caps this at 2 per the scoring notes. | 2 / 3 |
Progressive Disclosure | A compact, well-organized single-purpose body with clearly labeled sections and no need for external bundle files; the skill is self-contained and easy to navigate. | 3 / 3 |
Total | 11 / 12 Passed |