AC vision-testcase-generator
面向机器视觉（图像处理/视觉检测）领域的标准化测试用例生成技能。 当用户提到以下内容时触发：视觉测试、机器视觉、缺陷检测、AOI、视觉定位、尺寸测量、 OCR/字符识别、读码（二维码/条码）、3D 视觉、工业相机/镜头/光源、图像算法、 Halcon/OpenCV/VisionPro、误检率/漏检率、识别精度、阈值、标定、视觉检测需求、 图像质量、相机参数等需求的测试用例生成。 输入需求文档（Markdown/PDF/Word/Excel）或需求描述，输出按视觉模块分组的、 带优先级着色与模块分隔行的结构化 Excel 测试用例文件。 不适用于：车载/机器人/工业领域（请使用对应领域技能）、自动化测试脚本生成、测试执行。
面向机器视觉（图像处理/视觉检测）领域的标准化测试用例生成技能。 当用户提到以下内容时触发：视觉测试、机器视觉、缺陷检测、AOI、视觉定位、尺寸测量、 OCR/字符识别、读码（二维码/条码）、3D 视觉、工业相机/镜头/光源、图像算法、…
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
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: 6. 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 53/100
- 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
- 100Tools and files. No external tools needed
- 100Steps. 56 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2738 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)
- +3Output format is not stated: the model decides each time
- +2Single-language instructions
- +3Description length 314: enough signal without eating the budget
- +4Structure: 33 headings
- +3Step-by-step instructions: 56 items
- +4Has examples (4 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.