AD smyx-respiratory-rate-abnormal-detect-analysis
AI-powered non-contact pet respiratory rate monitoring at rest. Detects thoracic-abdominal motion via a fixed camera, calculates breaths-per-minute, and compares against species/body-size resting norms; triggers early-warning when abnormal (e.g. dog >30 bpm, cat >40 bpm, or <8 bpm). Helps detect cardiopulmonary, respiratory or heat-stress risks early. Scenarios: home night monitoring, animal hospital wards, pet boarding centers. | 通过宠物窝或休息区固定摄像头，在宠物静息状态下分析其胸腹部起伏运动，自动计算呼吸频率（次/分钟），并与该物种/体型的正常静息呼吸范围进行对比；若检测到呼吸过快（如犬>30次/分钟，猫>40次/分钟）或过慢（<8次/分钟），则输出健康预警，建议主人观察或就医。有助于早期发现呼吸系统、心脏或热应激等潜在问题。应用场景：宠物家庭夜间监护、宠物医院住院部、宠物寄养中心。
AI-powered non-contact pet respiratory rate monitoring at rest.
As a process D 35/100 · Unfinished process — weak spots: steps, result and completion, when it triggers
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 35/100
- 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
- 20When it triggers. No condition that starts the skill
- 25Steps. 1 steps
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1649 tokens
- 100Running it twice. No mutating operations
- low 12 top-level sections: this looks like several domains in one skill
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)
- +3No numbered steps or checklist
- +3Output format is not stated: the model decides each time
- -271 emoji in the instructions: noise for the model
- -32 of 4 scripts are never mentioned in SKILL.md
- +2Single-language instructions
- +3Description length 617: enough signal without eating the budget
- +4Structure: 22 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: 81.