Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is a tight, executable reference: runnable code with concrete parameters, a clearly sequenced remote-compute workflow with a notification checkpoint, and a symptom→fix troubleshooting table. It does not waste tokens on concepts Claude already knows.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean and efficient — no padding about what single-cell biology or scGPT is; every section (prerequisites, run, output, remote compute, gotchas, troubleshooting) earns its place and assumes Claude's competence. It is not the level-2 case because there is no unnecessary explanation that could be trimmed. | 3 / 3 |
Actionability | Provides fully executable, copy-paste-ready code with specific values — GeneVocab.from_file on vocab.json, embed_data with gene_col and use_fast_transformer, and a complete submit_job call with real parameters (timeout 1800, 24 GB VRAM, named inputs/outputs). | 3 / 3 |
Workflow Clarity | The remote-compute process is clearly sequenced with an explicit checkpoint: submit_job → 'cell ends here — kernel never blocks' → wait_for_notification → 'When the compute_done notification arrives, act on its payload' → re-enter kernel to attach_job/close, with a troubleshooting table providing error→fix feedback loops. | 3 / 3 |
Progressive Disclosure | No bundle files exist, and the single SKILL.md is organized into well-signaled sections (Prerequisites, How to run, Output format, Remote compute, Gotchas, Troubleshooting) with no nested/deep references — well-organized sections suffice for this skill, per the simple-skills guidance. | 3 / 3 |
Total | 12 / 12 Passed |