Content
82%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.
An action-dense, executable skill body with clear sequencing and validation for a destructive/batch GPU workflow. Conciseness and progressive-disclosure are strong but not maximal due to minor trims possible and the absence of separate reference files.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean and assumes Claude's competence — no padding about what scRNA-seq or libraries are — with tight code blocks and compact gotcha/troubleshooting tables; a few explanatory sentences could be trimmed, placing it just below the fully-lean anchor-5. | 4 / 5 |
Actionability | Copy-paste-ready scVI/scANVI/DE code blocks with real kwargs, a runnable Modal pipeline.py, and the explicit exec(open(...kernel.py)) loader covering the common cases, matching the anchor-5 executable example. | 5 / 5 |
Workflow Clarity | Clear setup→scVI→scANVI→DE→output→remote sequence with validation (h5ad_safe_obs before write) and an error-recovery troubleshooting table; not a strict numbered validate→fix→retry checklist so it sits below anchor-5. | 4 / 5 |
Progressive Disclosure | Well-organized into clearly-labeled sections (Setup, How to run, DE, Output, Remote compute, Gotchas, Troubleshooting) with easy internal navigation; no bundle files exist to provide one-level-deep references, so it cannot reach the anchor-5 external-split example. | 4 / 5 |
Total | 17 / 20 Passed |