Content
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is a thorough, highly actionable meta-skill with strong workflow sequencing, concrete examples, and validation feedback loops. Its main weaknesses are length/redundancy that hurt token efficiency and progressive disclosure: a monolithic body plus references to bundle files that are not actually present.
Suggestions
De-duplicate the rationalization-excuses material (it appears both as the "跳过测试的常见合理化借口" table and the "构建合理化借口表" example) and consolidate the repeated "铁律" statements to tighten conciseness.
Either provide the referenced bundle files (anthropic-best-practices.md, persuasion-principles.md, testing-skills-with-subagents.md, graphviz-conventions.dot, render-graphs.js) under references/scripts/assets, or remove the dangling references so navigation is not broken.
Move large reference-like sections (e.g., the full CSO keyword/naming guidance) into a separate reference file and keep SKILL.md as a lean overview to improve progressive disclosure.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and mostly efficient, but ~600 lines long with redundancy — e.g., the rationalization-excuses table appears twice (the "跳过测试的常见合理化借口" table and the "构建合理化借口表" example) and the "铁律" is stated in its own section then restated in the summary — matching 'mostly efficient but includes some unnecessary explanation or could be tightened'. Not level 1 because it frames TDD for a novel application rather than restating known concepts, and not level 3 due to the repetition and length. | 2 / 3 |
Actionability | It provides concrete, copy-paste-ready guidance: the TDD-mapping table, before/after YAML description examples, the "技能创建清单" with explicit checkboxes, and runnable commands like "./render-graphs.js ../some-skill --combine" and "wc -w skills/path/SKILL.md". This matches 'fully executable code/commands; specific examples; copy-paste ready'. | 3 / 3 |
Workflow Clarity | The red-green-refactor process is clearly sequenced with explicit validation checkpoints — "用技能运行场景 - 验证智能体现在遵守" and "重新测试直到无懈可击" form a validate→fix→retry feedback loop, and the checklist breaks it into red→green→refactor phases. This matches 'clear sequence with explicit validation steps; feedback loops for error recovery; checklists'. | 3 / 3 |
Progressive Disclosure | References are one-level-deep and clearly signaled (e.g., "参见 persuasion-principles.md 了解研究基础", "参见 @testing-skills-with-subagents.md"), but the body is a ~600-line monolithic document with content (CSO details, rationalization tables) that could be split, and the referenced bundle files (anthropic-best-practices.md, graphviz-conventions.dot, render-graphs.js, testing-skills-with-subagents.md, persuasion-principles.md) do not exist in any references/scripts/assets directory, breaking navigation. Not level 1 because references are not nested 2+ levels and sections are headed, and not level 3 because of the monolithic length and broken external links. | 2 / 3 |
Total | 10 / 12 Passed |