Content
92%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 tight, well-structured workflow with concrete commands, a validation checkpoint, and clean sectioning. The main weakness is that the core scripts it instructs Claude to run are not bundled alongside SKILL.md.
Suggestions
Bundle fetch_trending.py and write_trending_note.py under ./scripts/ so the documented commands are actually executable from the skill bundle.
Add a brief note on where the scripts live if they are intentionally shared elsewhere, so Claude can locate them at runtime.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and operationally focused — config field lists, two command blocks, and short phase descriptions with no padding or explanations of concepts Claude already knows; nearly every line earns its place. | 5 / 5 |
Actionability | Provides copy-paste-ready bash commands ('python3 fetch_trending.py --since weekly > /tmp/github_trending.json', 'python3 write_trending_note.py /tmp/github_trending.json') and concrete config field names, but the referenced scripts are not present in any ./scripts/ bundle, leaving a gap between instruction and actual executability. | 4 / 5 |
Workflow Clarity | Two clearly sequenced phases (Phase 1 fetch+score, Phase 2 write note) with an explicit validation checkpoint ('确认 /tmp/github_trending.json 是非空 JSON 数组。为空则看 stderr 诊断') providing a feedback loop for error recovery. | 5 / 5 |
Progressive Disclosure | Self-contained body organized into well-labeled sections (Step 0, 解析周期与语言, 工作流程 Phase 1/2, 输出, 注意事项) with one-level-deep references to shared config; no nested or buried references and easy to navigate. | 5 / 5 |
Total | 19 / 20 Passed |