Content
71%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 a well-sectioned, knowledge-dense guide for building GUI automation agents with genuinely specific guidance (grounding route selection criteria, a worked coordinate-scaling example, safety boundaries, and an explicit recovery strategy). Its main weaknesses are the broken bundle references — all cited companion paths are absent from the skill directory — plus a step-numbering error and minor tangential passages that could be trimmed.
Suggestions
Fix the numbering error in '实践模式' where two consecutive items are both labeled '6' (增强观察接口 and 移动端适配), which breaks the 8-step sequence.
Resolve the dangling references: either include the referenced companion material (chapter6/ directories, book/chapter6.md, validation/) in the skill bundle or clearly mark them as external repository paths not shipped with the skill.
Trim tangential passages — the speech/robotics timing comparison and the ad-monetization explanation — to improve token efficiency without losing operational guidance.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense with non-obvious domain guidance (grounding route selection, aspect-ratio coordinate scaling, keyframe observation) and mostly avoids padding. Minor over-explanation could be trimmed, e.g. the speech/robotics timing comparison in '循环节奏与尺度' and the ad-monetization digression in '生态壁垒'. Not 5: these tangential passages cost tokens without adding operational guidance; not 3: nearly every line carries skill-specific knowledge rather than concepts Claude already knows. | 4 / 5 |
Actionability | Concrete guidance is present: the four-step browser-use flow ('CDP 取 DOM → 检测可交互元素 → 标注唯一 ID 并在截图绘边界框 → 同步生成…文本列表') and a numeric scaling example ('2560×1440 的 16:9 屏幕选 FWXGA 1366×768,模型返回 (683,384) 反推真实坐标约 (1280,720)'). Not 5: there is no executable code in the body itself, and steps like '实现坐标缩放层:枚举目标模型支持的分辨率档位' remain high-level; not 3: the guidance goes well beyond vague direction with specific procedures and worked numbers. | 4 / 5 |
Workflow Clarity | '实践模式' provides a clear 8-step build sequence with validation checkpoints ('验收要测量效率…记录真实运行证据', '保留每步截图与动作轨迹,便于回放和验收') and an explicit error-recovery loop ('恢复策略要预置'). Not 5: the numbered list contains a numbering error (two items labeled '6'), and several steps are parallel topic areas rather than a strictly checkpointed sequence; not 3: validation and feedback loops for the risky (irreversible-operation) parts are explicitly present. | 4 / 5 |
Progressive Disclosure | Sections are well-organized (何时使用 / 核心原则 / 实践模式 / 常见陷阱 / 配套代码 / 深度阅读) with dedicated pointer sections, but every referenced path — 'chapter6/claude-computer-use-native/', 'chapter6/computer-use-open-model/', 'book/chapter6.md', and the 'validation/ 目录' — does not exist in the skill bundle (no references/, scripts/, or assets/ directories are present). Not 4: navigation to the referenced material is broken within the bundle; not 2: the SKILL.md itself is appropriately structured and the pointers are clearly signaled. | 3 / 5 |
Total | 15 / 20 Passed |