BC intelligent-driving-dss
智能驾驶决策支持系统 - 基于 L2 到 L5 级别的自动化和主动风险预测模型，提供实时路况下的情景压力测试、多传感器融合分析及高精度风险预警。集成中国道路交通安全法核心规则与新能源车型数据库。使用场景：自动驾驶算法设计、交通工程模拟、高级辅助驾驶功能评估、极端天气工况决策等。
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.
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: 26. 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. 50 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1841 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
- -262 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 139: enough signal without eating the budget
- +4Structure: 33 headings
- +3Step-by-step instructions: 50 items
- +4Has examples (5 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 70.
External checks
ClawHub: suspicious
This static driving-reference skill needs Review because it includes unsafe crash-response guidance and under-scoped automatic update/investment-advice language in a safety-sensitive domain.
LLM: suspicious (high) · VirusTotal: · 29 May 2026