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 lean, highly actionable skill body with a clear gated workflow and explicit safety/confirmation checkpoints for destructive API calls, plus clean one-level navigation to sibling skills. The only gap is the absence of an explicit error-recovery feedback loop after failed API calls.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is largely efficient—concrete WebFetch prompts, CLI commands, and worked examples with little padding—though minor sections (the brand-entry table, the Chinese-translation blockquote) could be trimmed, matching the 'efficient with minor over-explanation' anchor. | 4 / 5 |
Actionability | Provides fully executable, copy-paste-ready guidance: concrete WebFetch invocations with URLs and extraction questions, lark-cli api commands for every HTTP verb with params/data, and two complete worked scenarios with real commands, matching the fully-executable anchor. | 5 / 5 |
Workflow Clarity | A clearly sequenced 5-step mining flow with an explicit Step 1 gate ("如果已有对应命令或 shortcut...不需要继续挖掘") and destructive-op validation (confirm intent, --dry-run) avoids the missing-validation cap; however no explicit error-recovery feedback loop is described, fitting the clear-sequence-with-minor-gaps anchor rather than a 5. | 4 / 5 |
Progressive Disclosure | Well-organized into clear sections (文档库结构, 挖掘流程, 输出规范, 安全规则, 使用场景示例, 参考) with well-signaled one-level-deep references to sibling skills (../lark-shared/SKILL.md, ../lark-skill-maker/SKILL.md); no bundle files exist, so the self-contained overview is appropriately split and easy to navigate. | 5 / 5 |
Total | 18 / 20 Passed |