BF smyx-adult-facial-fatigue-stress-index-analysis
Using a smart mirror or fixed camera, the system analyzes high-resolution adult facial images or short videos to detect physiological features such as under-eye bag area (puffiness/shadow under the lower eyelid), dark-circle grayscale (darkness around the eyes), mouth-corner drop angle (angle between corner of mouth and horizontal), and glabellar frown lines (vertical lines between the brows), and computes a comprehensive. | 通过智能镜子或固定摄像头，分析成人面部的高清图像或视频，检测眼袋面积（下眼睑区域的浮肿或阴影面积）、黑眼圈灰度（眼眶区域的暗沉程度）、嘴角下垂角度（口角与水平线的夹角）以及皱眉纹（眉间川字纹）等生理特征，综合计算疲劳/压力指数（0-100分）。该技能可用于职场健康管理、个人状态监测，辅助了解自身精力水平。
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
- 25Steps. 1 steps
- 30Running it twice. 1 mutating operations with no state check
- 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1605 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
- -255 emoji in the instructions: noise for the model
- -32 of 4 scripts are never mentioned in SKILL.md
- +2Single-language instructions
- +3Description length 582: 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.