Content
86%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 a well-structured, actionable CLI reference with strong progressive disclosure and concrete validation in the workflow. The main gap is the absence of an explicit validate→fix→retry feedback loop for the batch analysis run.
Suggestions
Add an explicit post-run feedback loop to the Workflow section (e.g., on SKILL_EMPTY_DATA or SKILL_SAMPLE_MISMATCH: diagnose, fix inputs, rerun) to strengthen validation checkpoints for this batch operation.
De-duplicate the runnable command between the Usage and Testing sections, or have Testing reference the Usage command with only the differing output_dir, to trim redundant tokens.
Cross-link the Error Handling table's fixes back to the matching Workflow step so error recovery paths are explicit rather than implied.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean body that assumes Claude's competence (no tutorials on limma/DEG/volcano plots) with every section earning its place, but the Usage block and Testing smoke-test command overlap somewhat and could be tightened. | 4 / 5 |
Actionability | Copy-paste-ready Rscript commands, a complete argument table with types/defaults/required flags, an output-file table, and executable test commands fully cover the common cases. | 5 / 5 |
Workflow Clarity | Four steps are clearly sequenced with a concrete validation-first Step 1 and an error-handling table, but there is no explicit post-run validate→fix→retry feedback loop, leaving a minor checkpoint gap for a batch operation. | 4 / 5 |
Progressive Disclosure | A dedicated "When to Read External Files" table clearly signals one-level-deep references to real bundle files (algorithm.md, main.R, troubleshooting.md, cli-guide.md, tests/data/), with the body kept as an overview and detail split into referenced files. | 5 / 5 |
Total | 18 / 20 Passed |