Content
92%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 well-structured, highly actionable skill body with a sequenced workflow, explicit validation checkpoints, and clean progressive disclosure to verified reference files. Only minor conciseness trimming is warranted.
Suggestions
Tighten the Disclaimer/Attribution/Licenses sections to a few lines each to reclaim tokens without losing the safety/licensing signal.
Consider collapsing the 'Target users' sentence into the opening paragraph to avoid a separate prose block.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is largely lean — tables, commands, and checklists with no concept-padding — but the Disclaimer/Attribution/Licenses sections and the target-users sentence could be trimmed slightly. Not a 5 because a few tokens do not strictly earn their place. | 4 / 5 |
Actionability | Provides copy-paste-ready commands for each pipeline (test profile, full run), concrete samplesheet CSV formats, genome management, and resource-limit flags covering the common cases. | 5 / 5 |
Workflow Clarity | A clear Steps 0–6 checklist with explicit 'MUST pass' validation checkpoints, decision points requiring user confirmation, output verification (ls/grep), and feedback loops routing failures to troubleshooting. | 5 / 5 |
Progressive Disclosure | The SKILL.md is an overview pointing to well-signaled, one-level-deep references (geo-sra-acquisition, troubleshooting, installation, pipelines/*), all of which exist as real bundle files; details are appropriately split out. | 5 / 5 |
Total | 19 / 20 Passed |