Content
82%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 highly actionable, well-structured skill body with concrete commands and templates. The main gap is the absence of an explicit validation feedback loop for the generated rules file and hook installation.
Suggestions
Add an explicit verify step after generating .ai-style-rules.md (e.g., re-read the file and confirm all three mandatory sections are present and non-empty) with a fix-and-retry loop, to lift workflow_clarity to 5.
Collapse the redundancy between 'How It Works' and the 'Workflow' section — keep one as the canonical sequence and reference it from the other to tighten conciseness.
Merge 'Best Practices' into 'Anti-Patterns' as positive/negative pairs, or trim overlapping items, to reduce token cost without losing guidance.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Dense, action-oriented body using tables and numbered steps with no preamble explaining known concepts; minor redundancy between 'How It Works', 'Best Practices', and 'Anti-Patterns' could be trimmed. | 4 / 5 |
Actionability | Provides copy-paste-ready bash commands, a concrete 4-option grilling-protocol template, named output-file sections, and exact hook mechanisms (settings.json path, @-reference) covering the common cases. | 5 / 5 |
Workflow Clarity | Clear two-branch sequence with an auto-detect gate and one-at-a-time grilling checkpoint; however the file-writing/hook-install steps lack an explicit validate-then-retry feedback loop on the generated rules output. | 4 / 5 |
Progressive Disclosure | No bundle files exist; the body is a single well-sectioned file with clear headers and no nested references, easy to navigate, though it exceeds the simple-skill line count so a 5 is not warranted. | 4 / 5 |
Total | 17 / 20 Passed |