AC meteoswiss-ogd
Use when the user asks about Swiss weather, MeteoSwiss data, or Swiss weather forecasts and no MCP server is available. Covers current weather, forecasts, pollen, and station discovery via direct HTTP. No API key required.
As a process C 57/100 · Has gaps — weak spots: result and completion, inputs and preconditions, progress reporting
IntegrationData and analyticsAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
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: 9. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "globs"
Process rating: all ten parameters 57/100
- 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
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 70When it triggers. States when to use, but not when not to
- 100Steps. 4 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1324 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 222: enough signal without eating the budget
- +4Structure: 10 headings
- +3Step-by-step instructions: 4 items
- +4Has examples (6 code blocks)
- +3All 5 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.
External checks
ClawHub: suspicious
The skill mainly fetches public Swiss weather data, but it also suggests adding a persistent third-party MCP server that users should review first.
LLM: suspicious (medium) · VirusTotal: · 29 May 2026