Skill 审计报告
ray-data 审计报告.
Scalable data processing for ML workloads. Streaming execution across CPU/GPU, supports Parquet/CSV/JSON/images. Integrates with Ray Train, PyTorch, TensorFlow. Scales from single machine to 100s of nodes. Use for batch inference, data preprocessing, multi-modal data loading, or distributed ETL pipelines.
OpenAgentSkill 信任评分
OpenAgentSkill 信任评分
Trust Score 帮助 Agent 在安装前判断一个 Skill 是否足以进入候选清单。
GitHub 采用度
通过86
1.4K 个 GitHub Stars
Star/Fork 活跃度
信息77
1.4K 个 Star，96 个 Fork; 当前元数据中没有议题活跃度信息
近期维护
通过88
距上次推送 2 个月
许可证清晰度
通过86
MIT
README/SKILL.md 完整度
通过94
元数据包含足够的用法与工作流上下文
依赖与运行时风险
警告54
command execution surface, external package install surface
安装可用性
通过92
npx skills add OpenRaiser/NanoResearch --skill ray-data
安装命令安全性
通过92
标准软件包或运行时安装路径
权限范围
警告50
shell or command execution, filesystem or document access
仓库证据
通过86
https://github.com/OpenRaiser/NanoResearch/tree/main/skills/vendor-ai-research/ray-data
审查状态
通过88
可用 AI 审查数据
Agent 验证结果
信息54
暂未有 Agent 结果数据
检查项
安装与采用审查
安装路径
92
npx skills add OpenRaiser/NanoResearch --skill ray-data
仓库
88
https://github.com/OpenRaiser/NanoResearch/tree/main/skills/vendor-ai-research/ray-data
许可证
86
MIT
维护
88
距上次推送 2 个月
AI 审查
88
Approved with no listed issues
README/SKILL.md 完整度
94
Usable description available
依赖风险
54
command execution surface, external package install surface
安装命令安全性
92
标准软件包或运行时安装路径
权限范围
50
shell or command execution, filesystem or document access
Star/Fork 活跃度
77
1.4K 个 Star，96 个 Fork; 当前元数据中没有议题活跃度信息
采用度
88
1.4K 个 GitHub Stars
警告
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- Dependency/runtime risk: command execution surface, external package install surface
- Permission surface: shell or command execution, filesystem or document access
方法
本报告综合公开元数据、AI 审查输出、仓库活跃度、安装就绪度、OpenAgentSkill 事件、质量评分、信任检查和 Agent 安全门槛；它不是完整的源代码安全审计。
对比相近选项
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