AC amap-weather
Query weather via Amap (高德) Weather API — China's most accurate location-based weather service. Use when user asks about weather in Chinese cities, mentions 高德/amap weather, or needs weather data for China locations. Supports real-time conditions and 4-day forecasts. Requires AMAP_API_KEY env var. Trigger phrases: 天气, weather in Beijing/Shanghai/etc, 高德天气, 今天天气怎么样, 明天下雨吗, 未来几天天气.
As a process C 54/100 · Has gaps — weak spots: result and completion, when it triggers, failures and branches
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 · 4
✓ No critical or high findings
Medium and low: 4
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low Exfiltration
exfil-secret-in-urlSKILL.md:42Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)curl -s "https://restapi.amap.com/v3/weather/weatherInfo?key=…&city=…&extensions=base"
placeholder -
low Exfiltration
net-credential-useSKILL.md:42Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)curl -s "https://restapi.amap.com/v3/weather/weatherInfo?key=…&city=…&extensions=base"
vendor-host -
low Exfiltration
exfil-secret-in-urlSKILL.md:45Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)curl -s "https://restapi.amap.com/v3/weather/weatherInfo?key=…&city=…&extensions=all"
placeholder -
low Exfiltration
net-credential-useSKILL.md:45Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)curl -s "https://restapi.amap.com/v3/weather/weatherInfo?key=…&city=…&extensions=all"
vendor-host
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 54/100
- 0Result and completion. Does not say what the result is
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 11 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 442 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
- +1No license
- +2Single-language instructions
- +3Description length 382: enough signal without eating the budget
- +4Structure: 7 headings
- +3Step-by-step instructions: 11 items
- +4Has examples (2 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.