Content
100%Weight 40%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is well-structured, lean, and actionable with concrete commands and a clear validated workflow. Progressive disclosure is handled cleanly with real one-level-deep reference files.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes Claude's competence — no padded explanations of what glob patterns or instructions are — and each section earns its tokens with actionable detail; it does not fall to the level-2 'mostly efficient but could be tightened' anchor. | 3 / 3 |
Actionability | Provides copy-paste-ready commands such as 'cat references/scope_analysis_checklist.md' and 'python3 scripts/test_glob_pattern.py --pattern "tests/**/*.py" --limit 10', matching the fully-executable anchor. | 3 / 3 |
Workflow Clarity | A clear 7-step sequence with explicit validation in Step 6 (validate_skill.py, glob verification, rule-specificity checks), a final checklist, and iteration feedback loops, matching the explicit-validation-checkpoint anchor. | 3 / 3 |
Progressive Disclosure | SKILL.md is a concise overview with one-level-deep, clearly signaled references to real bundle files (scope_analysis_checklist.md, pattern_construction.md, rule_discovery_checklist.md, template_examples.md, context_economics.md) listed in the directory; no nested reference chains. | 3 / 3 |
Total | 12 / 12 Passed |