BD drawio-skills
DrawIO图表技能。功能：(1)生成.drawio架构图、流程图、ER图、UML/时序图、网络拓扑、ML模型图等 (2)从已有.drawio文件确定性提取个人绘制风格生成style preset (3)按"linlan"个人风格（黑描边#000000+浅色填充+Tahoma+直角矩形）生成图表 (4)导出PNG/SVG/PDF。当用户需要画架构图、技术架构图、流程图、拓扑图、ER图时使用此技能。
DrawIO图表技能。功能：(1)生成.drawio架构图、流程图、ER图、UML/时序图、网络拓扑、ML模型图等 (2)从已有.drawio文件确定性提取个人绘制风格生成style preset (3)按"linlan"个人风格（黑描边000000+浅色填充+Tahoma+直角矩形）生成图表…
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.
- 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 · 5
✓ No critical or high findings
Medium and low: 5
-
low Obfuscation
obf-base64-blobstyle_report.json:329Long base64-looking blob (quoted — discussed, not commanded)"stencil(nZBL…3SI/i5B4koRAWC+Lu9k…vlP+Df6A…JrE+AQ==)": 20,
quoted -
low Obfuscation
obf-base64-blobstyle_report.json:330Long base64-looking blob (detector / deny-list definition)"stencil(nZBR…P03+WHsH…Ixq//Jtp3…kwx+F6v1EYD+AUpy…Wg1/yhT/nRE5…I0e/hF+jV7A…tQM=)": 39,
detector -
low Obfuscation
obf-base64-blobstyle_report.json:331Long base64-looking blob (quoted — discussed, not commanded)"stencil(fVLb…Z9D+ckYKpxFDL/j4Ji…0V0+9Quz…BmG/bdQG+xjal…Eec
quoted -
low Obfuscation
obf-base64-blobstyle_report.json:635Long base64-looking blob (quoted — discussed, not commanded)"stencil(nZBL…3SI/i5B4koRAWC+Lu9k…vlP+Df6A…JrE+AQ==)": 2,
quoted -
low Obfuscation
obf-base64-blobstyle_report.json:768Long base64-looking blob (quoted — discussed, not commanded)"stencil(nZBL…3SI/i5B4koRAWC+Lu9k…vlP+Df6A…JrE+AQ==)": 8,
quoted
Files scanned: 9. 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. 25 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1346 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 200: enough signal without eating the budget
- +4Structure: 16 headings
- +3Step-by-step instructions: 25 items
- +4Has examples (4 code blocks)
- +3All 3 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.