AB knowair-air-quality
Get comprehensive air quality forecast from monitoring stations with up to 15-day coverage via the Caiyun Weather API. Returns AQI, PM2.5, PM10, O3, NO2, SO2, CO values with trend analysis, best/worst periods, and health recommendations. Use when the user asks about air quality, AQI, PM2.5, pollution forecast, smog, air pollution, or is it safe to exercise outdoors.
Get comprehensive air quality forecast from monitoring stations with up to 15-day coverage via the Caiyun Weather API.
As a process B 65/100 · Nearly there — weak spots: result and completion, consistency, progress reporting
How to improve
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 65/100
- 0Result and completion. Does not say what the result is
- 0Progress reporting. Says nothing while it works
- 40Consistency. Frontmatter name (knowair-air-quality) differs from the folder (knowair-weather)
- 50Failures and branches. 0 branches, has a failure section
- 70When it triggers. States when to use, but not when not to
- 70Inputs and preconditions. Inputs and preconditions are listed
- 85Steps. 11 steps, 1 vague phrases
- 100Tools and files. Tools declared in frontmatter
- 100Execution cost. Instruction body is 343 tokens
- 100Running it twice. No mutating operations
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +2Single-language instructions
- +3Description length 368: enough signal without eating the budget
- +4Structure: 7 headings
- +3Step-by-step instructions: 11 items
- +4Has examples (2 code blocks)
- +3All 1 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.