AD smyx-gait-analysis-lameness-analysis
Triggers when a user provides a pet side-view walking video URL or file for analysis; uses AI pose estimation to track limb joint trajectories, analyzes stride length, stance phase / swing phase duration, and left-right symmetry indicators, and identifies abnormal gait such as lameness or restricted joint mobility. Helps early detection of orthopedic conditions (arthritis, hip dysplasia, ligament injury) in pets. Application: home daily health monitoring, senior pet arthritis screening, vet clinic initial assessment, post-op rehab tracking. Does NOT provide medical diagnosis — only outputs vision-based gait analysis results. | 当用户提供宠物侧面行走视频URL或文件时，触发本技能进行步态分析；利用AI姿态估计检测四肢关节点的运动轨迹，分析步幅长度、支撑相时长、摆动相时长以及左右对称性指标，识别是否存在跛行、关节活动受限等异常步态；有助于早期发现骨科疾病（关节炎、髋关节发育不良、韧带损伤）。应用场景：宠物家庭日常健康监测、老年宠物关节炎筛查、宠物医院初诊评估、术后康复效果跟踪。仅输出基于视觉的步态分析结果，不提供医疗诊断。
Triggers when a user provides a pet side-view walking video URL or file for analysis; uses AI pose estimation to track limb joint trajectories, analyzes…
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 1412 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 835: 120–800 characters recommended
- +3No numbered steps or checklist
- +3Output format is not stated: the model decides each time
- -256 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.