BF weather-character
Weather Character Skill - Generate daily weather-themed character images based on mood, weather, and city. Features interactive dialog, 27 Chinese cities, and character consistency. / 天气角色生成技能 - 根据心情、天气、城市生成角色图片，支持交互对话框、27个城市、角色一致性。
As a process F 31/100 · Will not run — References files that are not bundled: README.md
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
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: 2. 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") - warning
missing-refreference to a missing file: README.md
Process rating: all ten parameters 31/100
Will not run. References files that are not bundled: README.md
- 0Tools and files. 1 referenced file(s) missing: README.md
- 0Result and completion. Does not say what the result is
- 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
- 40Consistency. Frontmatter name (weather-character) differs from the folder (weather-character-skill)
- 100Steps. 6 steps
- 100Execution cost. Instruction body is 221 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 232: enough signal without eating the budget
- +4Structure: 6 headings
- +3Step-by-step instructions: 6 items
- +4Has examples (1 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.
External checks
ClawHub: clean
The reviewed skill is a small weather-character image guide with disclosed setup steps and no included executable code, though its referenced Python scripts are missing from the package.
LLM: benign (medium) · VirusTotal: · 29 May 2026