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 lean and executable, with a clearly sequenced multi-step workflow that includes an explicit validate-and-retry checkpoint, and a well-structured single-level reference bundle. It meets the top anchor on all four dimensions.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean sections (overview, when/how to use, cross-ref script, CI YAML, worked example, anti-patterns, limitations) that assume Claude's competence and avoid explaining basic SCA/static-analysis concepts; every section earns its place. Not the level-2 'mostly efficient but could be tightened' case — there is no padded explanation. | 3 / 3 |
Actionability | Copy-paste-ready executable guidance throughout: 'npx knip --reporter json | jq -r ".dependencies[].name" > unused-deps.txt', a complete Python cross-reference script, and a concrete CI YAML block — matches the 'fully executable code/commands' anchor. | 3 / 3 |
Workflow Clarity | A 7-step 'How to use' sequence with an explicit validation checkpoint and feedback loop: step 5 'assert unused-deps.txt is non-empty and every finding ... carries a populated reachable field ... If the file is empty ... re-run ... and re-annotate', satisfying the validation requirement for batch finding annotation. | 3 / 3 |
Progressive Disclosure | SKILL.md is an overview with a single one-level-deep, clearly signaled reference — 'Full config, flags, exit codes, and suppression per tool: references/dead-dependency-tools.md' — and the referenced bundle file exists and is real. Per-tool detail is correctly split out, with a References section listing external links. | 3 / 3 |
Total | 12 / 12 Passed |