Content
86%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 concise, well-structured CLI-wrapper skill with an executable command and a validation step. Could improve by adding remediation commands for the listed issue categories and making the error-recovery loop explicit.
Suggestions
Add a brief remediation hint or example fix for at least the highest-severity rule categories (e.g. hardcoded secrets, eval()) so fixes are actionable rather than only detectable.
Make the validation feedback loop explicit: e.g. 'If the score did not improve, re-read remaining diagnostics and repeat from step 3.'
Clarify what to do when react-doctor reports zero findings or cannot run (e.g. not a React project) so the workflow has a defined exit condition.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean and efficient: a one-line summary, an executable command, a short workflow, and a dense categorized rules list with no padding about concepts Claude already knows. | 5 / 5 |
Actionability | Provides a copy-paste-ready command and a concrete workflow, but the rules list names issue categories without remediation commands, leaving minor gaps for fixing individual findings. | 4 / 5 |
Workflow Clarity | Clear sequence (run, read diagnostics, fix errors first, re-run to verify) with an explicit validation checkpoint via re-run; the error-recovery feedback loop is implied rather than spelled out, keeping it just below 5. | 4 / 5 |
Progressive Disclosure | Under 50 lines with no need for external references; content is well-organized into clearly signaled sections (Usage, Workflow, Rules, Score), meeting the simple-skill exception. | 5 / 5 |
Total | 18 / 20 Passed |