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 an exemplary lean skill: immediately executable curl commands with sample outputs, a sensible primary/fallback split, and clean section organization with no token waste. The only notable gap is that the Open-Meteo fallback assumes the user can already find coordinates without showing how. It scores near the top of the rubric overall.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes competence: no explanations of what weather APIs are, no padding, and every line is a command, expected output, format code, or tip. It matches the anchor for lean, efficient content where every token earns its place. | 5 / 5 |
Actionability | The wttr.in section is fully copy-paste ready with expected outputs ("curl -s \"wttr.in/London?format=3\"" → "London: ⛅️ +8°C") plus a concrete fallback command for Open-Meteo. It stops short of 5 because the fallback section says "Find coordinates for a city, then query" without showing a concrete geocoding step, a minor gap in executability. | 4 / 5 |
Workflow Clarity | This is a simple, single-purpose skill under 50 lines with no destructive or batch operations, and the single action is unambiguous: primary service with a quick one-liner, clearly labeled fallback ("## Open-Meteo (fallback, JSON)") for programmatic use. Per the simple-skill guidance, workflow clarity scores 5. | 5 / 5 |
Progressive Disclosure | The skill is under 50 lines, needs no external references, and is organized into well-labeled sections (quick one-liner, compact format, full forecast, tips, fallback) with a docs link for depth. Per the guideline for short simple skills, well-organized sections earn a 5. | 5 / 5 |
Total | 19 / 20 Passed |