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.
A dense, command-driven skill body that is highly actionable, well-sequenced with approval and verification gates, and cleanly sectioned. Its main limitation is mild over-explanation in the per-command prose and the absence of external reference files that could offload the long reference-manager command catalog.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is largely lean operational guidance and executable commands with no padding of concepts Claude already knows; the per-command 'Use X when...' paragraphs are functional rather than filler, with only minor over-explanation that could be trimmed, placing it just below the fully lean anchor. | 4 / 5 |
Actionability | Copy-paste-ready executable commands are given throughout (ngs_preflight.py, ngs_reference_manager.py, run_nfcore_pipeline.py invocations) with specific flags and output paths covering the common cases, matching the fully-executable anchor. | 5 / 5 |
Workflow Clarity | A clear 6-step 'Existence Check Order' sequence with explicit approval/validation gates ('Emit an install plan before installing', 'Install only when explicitly requested', the NGS_RUN_INSTALL_COMMANDS=1 guard, and verify-lock --fail-on-mismatch drift feedback) avoids the destructive/batch cap; not a 5 because not every workflow spells out an if-fails-then-fix-and-retry loop. | 4 / 5 |
Progressive Disclosure | Well-organized section headers structure a single SKILL.md with one-level-deep, clearly signaled command catalogs and no nested references; no bundle files are provided so it scores on this inline structure, which is appropriate for a CLI-driven skill, with only minor organization gaps. | 4 / 5 |
Total | 17 / 20 Passed |