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.
The body is highly actionable and efficiently structured, with executable curl commands for both services and a clear geocode-then-query workflow with fallback logic. Minor conciseness redundancy and the lack of an explicit retry loop are the only things holding it back from a perfect content score.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and mostly commands plus bulleted rules with no over-explanation of curl or API basics; minor repeated guidance about Chinese-name handling across the intro and Accuracy Rules keeps it just below the 'every token earns its place' level 5. | 4 / 5 |
Actionability | Copy-paste-ready curl commands cover the common cases for both services — current conditions, JSON detail, Chinese-name queries, units, and geocoding-plus-forecast — fully executable with specific examples. | 5 / 5 |
Workflow Clarity | The Open-Meteo path is clearly sequenced (geocode and verify metadata, then query with verified coordinates) with fallback logic and ambiguity-handling checkpoints; it stops short of an explicit validate→fix→retry loop, fitting 'clear sequence with most checkpoints present'. | 4 / 5 |
Progressive Disclosure | A single-purpose, under-50-line skill with no external references needed and well-organized sections (Accuracy Rules, wttr.in, Open-Meteo), which the rubric allows to score 5 for simple skills that are well-organized. | 5 / 5 |
Total | 18 / 20 Passed |