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 tight, evidence-first debugging playbook with concrete memory commands and a well-sequenced, validation-aware workflow. Minor gaps: the hypothesis section could show an example test command, and the workflow could state an explicit retry-on-failure loop.
Suggestions
Add one concrete example test command under 'Hypothesize and Test' to model the 'Exact test command or check' bullet (e.g., a one-variable reproduction invocation).
Make the validation feedback loop explicit: state that if post-fix validation fails, Claude should return to the Hypothesize step rather than proceeding.
Clarify the 'AI DevKit' prefix in the description body or frontmatter so its role as a namespace marker is unambiguous to readers.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and directive — 'Debug with an evidence-first workflow before changing code' — with terse bullets and a compact Red Flags table; it assumes Claude's competence and never over-explains debugging concepts. | 5 / 5 |
Actionability | Provides two copy-paste commands (`npx ai-devkit@latest memory search…` / `memory store…`) and concrete per-step directives, but the Hypothesize-and-Test section stays at the directive level ('Predicted evidence if true') without an example executable test command. | 4 / 5 |
Workflow Clarity | Clear Clarify → Reproduce → Hypothesize → Plan → Validation sequence with a Hard Rule approval checkpoint and explicit pre-fix/post-fix validation, but it lacks an explicit error-recovery retry loop (e.g., 'if validation fails, return to hypotheses'). | 4 / 5 |
Progressive Disclosure | Self-contained, well-organized into clearly labeled sections with no need for external file references; the only external pointer (the `verify` skill) is appropriately one level deep. | 5 / 5 |
Total | 18 / 20 Passed |