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在 OpenClaw 中安装
/install traffic-crash-specialist
功能描述
交通事故视频分析与检测专用技能。使用当需要：(1) 分析交通事故视频，(2) 事故识别、因果推理、预防分析，(3) 交通场景时空理解与对象定位，(4) 查询交通事故检测相关模型/数据集/论文，(5) 使用 CrashChat 或 Traffix VideoQA 进行视频问答，(6) 训练或评估交通视频分析模型。触...
安全使用建议
This skill appears coherent for traffic-accident video analysis. Before running anything: (1) inspect the GitHub repo and any included wheel files (e.g., flash_attn-*.whl) — running arbitrary wheels requires trust; (2) be prepared for large disk, GPU and bandwidth usage when downloading datasets/model weights and training; (3) verify dataset licensing and privacy (some sources like Nexar may contain personal data); (4) if a HuggingFace repo is private you may need credentials—do not supply unrelated secrets; (5) if you plan to let an agent run this autonomously, be aware it will perform network downloads and local installs as shown in SKILL.md.
功能分析
Type: OpenClaw Skill
Name: traffic-crash-specialist
Version: 1.0.0
The skill bundle is a legitimate toolkit for traffic accident video analysis, integrating research models like CrashChat and TraffiX-Qwen. It provides standard installation procedures, links to academic resources (ArXiv, GitHub, HuggingFace), and detailed task definitions in SKILL.md and the references directory, without any signs of malicious intent, data exfiltration, or prompt injection attacks.
能力评估
Purpose & Capability
Name, description and included docs all describe traffic-crash video analysis, model training, evaluation and dataset references; the commands (git clone, conda env, pip install, huggingface download, training/eval scripts) are exactly what such a project would reasonably need.
Instruction Scope
SKILL.md focuses on cloning the CrashChat repo, setting up Python/torch, downloading model weights/datasets from GitHub/HuggingFace, and running training/evaluation scripts. It does not instruct reading unrelated system files, accessing unrelated environment variables, or exfiltrating data to unexpected endpoints.
Install Mechanism
This is an instruction-only skill (no install spec). The instructions require installing binaries/packages via pip/conda and downloading model weights from GitHub/HuggingFace. That is normal for ML projects, but installing a provided wheel file (flash_attn-...whl) or any binary wheel from the repo is an operation that requires trusting the repository — review the wheel and repo before running.
Credentials
The skill declares no required env vars, credentials, or config paths. The runtime instructions reference network endpoints appropriate for the task (GitHub, HuggingFace, PyTorch download index). No unrelated credentials are requested.
Persistence & Privilege
Registry flags show no always:true or other elevated persistence. As an instruction-only skill it does not request to modify other skills or system-wide agent settings.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install traffic-crash-specialist - 安装完成后，直接呼叫该 Skill 的名称或使用
/traffic-crash-specialist触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
- Initial release of the "traffic-crash-specialist" skill for traffic accident video analysis.
- Integrates key resources: CrashChat (multitask crash analysis model and dataset) and Traffix VideoQA (traffic scene video QA benchmark).
- Provides quick start guides for installation, model weights download, and model training/evaluation.
- Summarizes core use cases and tasks for both CrashChat and Traffix VideoQA.
- Includes resource links for datasets, papers, model weights, and further documentation.
元数据
常见问题
Traffic Crash Specialist 是什么？
交通事故视频分析与检测专用技能。使用当需要：(1) 分析交通事故视频，(2) 事故识别、因果推理、预防分析，(3) 交通场景时空理解与对象定位，(4) 查询交通事故检测相关模型/数据集/论文，(5) 使用 CrashChat 或 Traffix VideoQA 进行视频问答，(6) 训练或评估交通视频分析模型。触... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 103 次。
如何安装 Traffic Crash Specialist？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install traffic-crash-specialist」即可一键安装，无需额外配置。
Traffic Crash Specialist 是免费的吗？
是的，Traffic Crash Specialist 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Traffic Crash Specialist 支持哪些平台？
Traffic Crash Specialist 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Traffic Crash Specialist？
由 sxy799（@sxy799）开发并维护，当前版本 v1.0.0。
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