AD cad-editor
CAD制图编辑器 — 用自然语言生成工程图纸（建筑平面图/机械零件/电气布置/管道系统/结构详图）。 支持DXF文件创建、渲染预览、批量导出。触发词：画平面图、CAD、工程图、建筑图、机械图、电气图、 管道图、结构图、画线/圆/矩形/多边形、尺寸标注、DXF、AutoCAD、施工图、配筋图、齿轮、轴承、 阀门、弯头、三通、法兰、门窗、楼梯、墙体、梁板柱基础、螺栓螺母弹簧垫圈销钉键槽、 开关插座灯具配电箱断路器导线组、直管弯头阀门法兰大小头管帽。
As a process D 46/100 · Unfinished process — 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.
For the model run — optional
- 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: 51. 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 46/100
- 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
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 6 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1553 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
- +1No license
- +2Single-language instructions
- +3Description length 224: enough signal without eating the budget
- +4Structure: 20 headings
- +3Step-by-step instructions: 6 items
- +4Has examples (6 code blocks)
- +4Reference files are cited in the instructions (3 of 3)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.
External checks
ClawHub: suspicious
This CAD skill appears purpose-built for drawing generation, but it asks the agent to run generated Python code from user-derived inputs without strong validation or containment.
LLM: suspicious (high) · VirusTotal: · 29 May 2026