BD auto-lamp-ip-advisor
汽车车灯零部件供应链决策与专利侵权风险分析专家。根据用户提供的车灯设计图描述或零件清单，完成四阶段分析：零件模块拆解、外购vs自制决策、专利侵权风险评估（含发明专利、实用新型、外观设计三类比对，疑似侵权专利对照表与绕行建议）、综合采购与设计策略汇总，最终输出网页版Tab导航HTML格式报告并打包为zip提供下载。检索范围覆盖中国及US/EP/JP/KR等主要海外专利局。覆盖前照灯、尾灯、雾灯、氛围灯，熟悉法雷奥、海拉、马瑞利、斯坦雷、小糸等主要供应商专利布局，以及奥迪"雷神之锤"等经典海外车灯专利。
汽车车灯零部件供应链决策与专利侵权风险分析专家。根据用户提供的车灯设计图描述或零件清单，完成四阶段分析：零件模块拆解、外购vs自制决策、专利侵权风险评估（含发明专利、实用新型、外观设计三类比对，疑似侵权专利对照表与绕行建议）、综合采购与设计策略汇总，最终输出网页版Tab导航HTML格式报告并打包为zip提供下载。检索…
As a process D 49/100 · 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 · 0
✓ No critical or high findings
Files scanned: 2. 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") - note
frontmatter-keyunknown frontmatter key "copyright"
Process rating: all ten parameters 49/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (web, python) that frontmatter does not declare
- 70Execution cost. Instruction body is 4698 tokens
- 100Steps. 54 steps
- 100Consistency. Name and required fields are in place
- 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
- -212 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 252: enough signal without eating the budget
- +4Structure: 26 headings
- +3Step-by-step instructions: 54 items
- +4Has examples (3 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.