Content
93%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 body is a tight, highly actionable instruction skill with concrete parameterized tool calls and a clear sequenced workflow. The only gap is the absence of an explicit validation/feedback-loop checkpoint in the review workflow.
Suggestions
Add an explicit validation checkpoint between analysis and output (e.g. 'Before writing findings, re-confirm each high-risk function's test coverage via step 3') to support error recovery.
Optionally clarify the merge recommendation criteria (e.g. what risk/coverage threshold maps to 'approve' vs 'request changes').
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and efficient, assumes Claude's competence ('The graph narrows scope; it does not replace the source'), and every line earns its place with no padding or explanation of concepts Claude already knows. | 5 / 5 |
Actionability | Guidance is fully actionable: each step names a concrete tool with specific parameters (e.g. `query_graph_tool` with `pattern="tests_for"`, `detail_level="minimal"`), covering the common cases of a review task. | 5 / 5 |
Workflow Clarity | Steps 1–5 are clearly sequenced with explicit conditional gating ('only when you need the steps', 'when the blast radius is not clear from step 1'), but there is no explicit validation/feedback loop checkpoint for error recovery. | 4 / 5 |
Progressive Disclosure | The skill is under 50 lines with no external bundle files (references/, scripts/, assets/ all empty) and is organized into clearly labeled sections (Steps, Output Format, Token Efficiency Rules), meeting the simple-skill exception for a top score. | 5 / 5 |
Total | 19 / 20 Passed |