AD smyx-poop-clean-trigger-analysis
Triggers when a user provides a dog toilet / pet defecation-zone video URL or file for analysis; uses a fixed camera on the dog toilet or designated defecation area to monitor video in real time, detects whether the pet is defecating (presence of feces) and, once the pet leaves the area, automatically outputs a cleaning trigger signal that can drive a robot vacuum to that spot for cleanup. Enables fully automated pet-waste handling, reduces owner workload, and keeps the home hygienic. Application: indoor dog toilets, balcony defecation zones, pet kennels. Does NOT provide medical diagnosis — only outputs vision-based event detection results. | 当用户提供狗厕所或宠物固定排便区域视频URL或文件时，触发本技能进行排便事件检测分析；通过安装在狗厕所或宠物固定排便区域的摄像头实时分析视频，识别宠物是否在该区域排便（粪便出现），并在宠物离开该区域后自动输出清扫触发信号，联动扫地机器人前往清理；实现宠物排泄物的即时自动化处理，减轻主人清理负担，保持居家环境卫生。应用场景：宠物家庭室内狗厕所、阳台排便区、宠物笼舍。仅输出基于视觉的事件检测结果，不进行医疗诊断。
As a process D 41/100 · Unfinished process — weak spots: steps, result and completion, inputs and preconditions
How to improve
- 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: 30. 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 41/100
- 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
- 25Steps. 1 steps
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 70When it triggers. States when to use, but not when not to
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1421 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)
- +3Description length 858: 120–800 characters recommended
- +3No numbered steps or checklist
- +3Output format is not stated: the model decides each time
- -255 emoji in the instructions: noise for the model
- -32 of 4 scripts are never mentioned in SKILL.md
- +2Single-language instructions
- +4Structure: 19 headings
- +4Has examples (3 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.