Content
68%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 well-structured, actionable, and token-efficient, delegating computation to a real bundled script. Its main weakness is workflow_clarity: the documented process lists steps but lacks validation/feedback checkpoints for a batch scanning operation, capping that dimension.
Suggestions
Add an explicit validation/feedback checkpoint to the 校验流程, e.g. after running the checker: review failures, fix high-severity issues, then re-run "node scripts/quality_checker.js <路径> --json" to confirm the pass count improves.
Trim the motivational aphorisms in 核心原则 and the 道基/异端/正道 commentary in the refactoring examples to reduce padding that Claude does not need.
Make the refactoring examples more concrete by replacing placeholder conditions (condition1/2/3) with a realistic data-processing example so the pattern is copy-paste ready.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly lean with token-efficient tables and a real script invocation, but the boxed "核心原则" aphorisms ("劣质代码是技术债,技术债是道基裂痕") and the 道基/异端/正道 flavorings in examples are minor motivational padding that could be trimmed. | 4 / 5 |
Actionability | Gives a concrete, executable command ("node scripts/quality_checker.js <扫描路径>") backed by a real bundle script, plus specific threshold tables and a report template; the Python refactoring snippets use placeholder conditions, which is a minor gap. | 4 / 5 |
Workflow Clarity | The 5-step "校验流程" lists a sequence but has no validation checkpoint or fix-and-retry feedback loop, and code scanning is a batch operation, which per the rubric caps this dimension at 3. | 3 / 5 |
Progressive Disclosure | Well-organized into clear headed sections with the heavy logic offloaded to a one-level-deep, clearly signaled bundle script (scripts/quality_checker.js) that exists on disk; minor organization gaps from the inlined report-format and refactoring blocks. | 4 / 5 |
Total | 15 / 20 Passed |