Content
63%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.
The skill body delivers a well-sequenced, actionable 11-step workflow with verification checkpoints and concrete examples backed by real bundle files (references and an executable analysis script). Its main weaknesses are verbosity — the report structure is inlined twice despite a dedicated template reference — and padded generic Best Practices/Troubleshooting sections.
Suggestions
Remove the duplicated report structure: keep the 'See [report-template.md](references/report-template.md) for full template' pointer in step 10 and delete the inline 9-section outline or the redundant 'Output Format' section, leaving one source of truth.
Trim or delete the generic Best Practices bullets (e.g. 'Be specific and detailed', 'Use clear, consistent terminology') — they restate the workflow steps without adding new information.
Move the three Common Scenarios examples into references/analysis-patterns.md (or a dedicated examples file) and reference them from the mapping steps, keeping SKILL.md as a lean overview.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The workflow steps are largely efficient and specific, but the body contains clear redundancy: the full report structure is spelled out twice (step 10's 9-section outline and again in 'Output Format' as a markdown skeleton) even though references/report-template.md holds the full template, and 'Best Practices'/'Troubleshooting' sections pad with generic bullets like 'Be specific and detailed' and 'Use clear, consistent terminology'. This matches 'mostly efficient but includes some unnecessary explanation or could be tightened'; not a 2 because the core workflow content is substantive and specific rather than explanation of things Claude already knows. | 3 / 5 |
Actionability | Concrete executable guidance is present: the automated command 'python scripts/analyze_code_impact.py <repo_path>' (script exists), four named mapping strategies with a worked example mapping ('Add user authentication' → auth.py, user.py, test_auth.py), and concrete filled-in example report snippets (e.g. 'auth.py::AuthManager.login() - Add 2FA verification step'). Matches 'mostly executable guidance; concrete code or commands with minor gaps'; not a 5 because the manual analysis steps and dependency-analysis guidance remain high-level descriptions rather than concrete commands. | 4 / 5 |
Workflow Clarity | The 11-step workflow is clearly sequenced from input verification ('Requirements are readable... Repository path is valid') through analysis, mapping, and report generation, ending with a review checklist ('Verify completeness... Check accuracy... Refine report') — matching 'clear sequence with most checkpoints present'. Not a 5 because validation is checklist-style rather than a validate-fix-retry feedback loop (e.g. no instruction to re-run the impact script or re-verify mappings when review finds gaps); not a 3 because checkpoints are explicit at both entry (verify inputs) and exit (review and refine). | 4 / 5 |
Progressive Disclosure | References exist, are real files, one level deep, and clearly signaled ('See [analysis-patterns.md](references/analysis-patterns.md) for detailed comparison strategies', 'See [report-template.md](references/report-template.md) for full template'). However, content that clearly belongs in the reference files is inlined: the report outline appears twice in SKILL.md (step 10 and Output Format) despite the dedicated template file, matching 'content that should be separate is inline'. Not a 4 because this duplication is more than a minor organization gap; not a 2 because the file structure itself is well-organized with clearly signaled references and a working script. | 3 / 5 |
Total | 14 / 20 Passed |