AB alibabacloud-iqs-weather-query
7-day weather forecast query powered by Alibaba Cloud IQS web search and page reading. Triggers: "weather forecast", "7-day weather", "weekly weather", "weather in [city]", "will it rain", "temperature forecast"
As a process B 71/100 · Nearly there — weak spots: when it triggers, consistency, progress reporting
This is a copy of a skill from another catalog; the rating counts the canonical one: alibabacloud-iqs-weather-query (ClawHub)
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 · 0
✓ No critical or high findings
Files scanned: 3. 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 71/100
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 40Consistency. Frontmatter name (alibabacloud-iqs-weather-query) differs from the folder (iqs-weather)
- 60Tools and files. Uses tools (bash, web, node) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 100Steps. 14 steps
- 100Inputs and preconditions. Inputs and preconditions are listed
- 100Failures and branches. 2 branches, has a failure section
- 100Execution cost. Instruction body is 2380 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
- +4Description does not say when NOT to use the skill (false activations)
- +1No license
- +2Single-language instructions
- +5Description quotes 6 example trigger phrases
- +3Description length 211: enough signal without eating the budget
- +4Structure: 16 headings
- +3Step-by-step instructions: 14 items
- +3Output format is stated explicitly
- +4Has examples (14 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.
External checks
ClawHub: suspicious
This weather skill mostly matches its purpose, but it tells the agent to modify its parser code after reading external weather pages.
LLM: suspicious (high) · VirusTotal: · 29 May 2026