BF smyx-infant-stool-color-abnormality-analysis
Using a fixed camera above the baby-changing table or a smartphone, the system captures high-resolution images of the diaper area (or the stool itself), and uses AI visual analysis to identify stool color: normal yellow / yellow-green, abnormal clay-pale (white/clay-like, suggesting biliary obstruction), bright red (lower-GI bleeding), dark red / tarry black (upper-GI bleeding), etc. | 通过婴儿护理台上方固定摄像头或手机拍摄尿不湿区域（或直接拍摄排泄物）的高清图像，利用AI视觉分析技术识别大便颜色，包括正常黄色/黄绿色、异常陶土色（白陶土样，提示胆道梗阻）、鲜红色（下消化道出血）、暗红色/黑色（上消化道出血）等。当检测到异常颜色时，输出风险提醒，建议家长及时就医。
Using a fixed camera above the baby-changing table or a smartphone, the system captures high-resolution images of the diaper area (or the stool itself), and…
As a process F 32/100 · Will not run — weak spots: steps, result and completion, when it triggers
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 32/100
- 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
- 21Steps. 1 steps, 1 vague phrases
- 30Running it twice. 1 mutating operations with no state check
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1685 tokens
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
- -258 emoji in the instructions: noise for the model
- -32 of 4 scripts are never mentioned in SKILL.md
- +2Single-language instructions
- +3Description length 530: enough signal without eating the budget
- +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: 69.