AC mock-weather
模拟天气查询，为任意城市生成仿真天气数据（当前天气 + 多日预报）。Use when: (1) 用户查询某城市天气，(2) 用户询问天气预报，(3) 需要演示天气功能但无真实API时。支持中英文城市名，支持1-7天预报。注意：数据为模拟生成，非真实气象数据。
As a process C 58/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches
How to improve
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 · 0
✓ No critical or high findings
Files scanned: 3. 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 58/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 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
- 60Result and completion. Output format stated, no completion criterion
- 75Steps. 3 steps
- 100Tools and files. No external tools needed
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 238 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)
- +1No license
- +2Single-language instructions
- +3Description length 129: enough signal without eating the budget
- +4Structure: 4 headings
- +3Step-by-step instructions: 3 items
- +3Output format is stated explicitly
- +4Has examples (2 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.
External checks
ClawHub: clean
This is a simple mock weather skill that generates clearly labeled simulated forecasts locally and does not show data collection, network access, persistence, or destructive behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026