BC qweather
天气查询 — 实时天气、天气预报、生活指数、城市搜索。数据源为和风天气 (QWeather)。 触发词: 天气, 气温, 下雨, 预报, weather, forecast, 穿什么, 洗车, 紫外线, UV, 空气, 今天天气, 明天天气, 北京天气, 或任何 "[城市] 天气" 格式的输入。
As a process C 53/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency
ProcedureInfrastructureData and analyticstype and topics are labelled automatically from the skill text
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
- 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 · 1
✓ No critical or high findings
Medium and low: 1
-
low Exfiltration
net-credential-usescripts/lib/config.ts:37Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host; quoted — discussed, not commanded)`${API_KEY_ENV} is required. Get one at https://console.qweather.com`,vendor-hostquoted
Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 53/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 40Consistency. Frontmatter name (qweather) differs from the folder (rainman-qweather)
- 55Failures and branches. 1 branches
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 70When it triggers. States when to use, but not when not to
- 100Steps. 14 steps
- 100Execution cost. Instruction body is 287 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
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +3Description length 148: enough signal without eating the budget
- +4Structure: 5 headings
- +3Step-by-step instructions: 14 items
- +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: 75.
External checks
ClawHub: clean
This is a narrow QWeather weather-lookup skill with disclosed API-key requirements and no evidence of hidden, destructive, or persistent behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026