AF smyx-pet-toy-interaction-activity-analysis
Triggers when a user provides a pet toy area video URL or file for analysis; supports local video uploads or network URLs to call server-side APIs for toy interaction behavior recognition, tracking interaction frequency, duration, and toy preference per pet, generating daily activity curves and trend comparisons to detect declining activity that may indicate illness or depression. Application scenarios: smart pet toys, pet wellness monitoring. | 当用户提供玩具区域视频URL或文件时，触发本技能进行互动行为分析；支持通过上传本地视频或网络视频URL，调用服务端API进行玩具互动识别，记录宠物与各类玩具互动频次、时长、偏好，生成活跃度曲线，活跃度下降提示疾病或抑郁风险。应用场景：智能宠物玩具、宠物健康管理。
Triggers when a user provides a pet toy area video URL or file for analysis; supports local video uploads or network URLs to call server-side APIs for toy…
As a process F 41/100 · Will not run — References files that are not bundled: reportImageUrl
The same skill appears in 1 more place: ClawHub
How to improve
- The text references files that are not there: add them or drop the references.
- 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: 31. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: reportImageUrl
Process rating: all ten parameters 41/100
- 0Tools and files. 1 referenced file(s) missing: reportImageUrl
- 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
- 70When it triggers. States when to use, but not when not to
- 100Steps. 23 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1601 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
- -33 of 5 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 581: enough signal without eating the budget
- +4Structure: 11 headings
- +3Step-by-step instructions: 23 items
- +4Has examples (3 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.