Skill audit report
基于python和llm大模型开发的数据处理和任务调度系统。 支持数据源管理，数据模型管理，数据集成，数据查询API接口，低代码自定义数据处理任务模版，单任务及dag任务工作流调度等功能。集成了llm模块实现rag知识库问答，链接各数据源数据进行数据对话问答，交互式数据分析功能。
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
283 GitHub stars
Stars/forks activity
INFO62
283 stars, 58 forks; issue activity unavailable in current metadata
Recent maintenance
INFO76
3mo since push
License clarity
PASS86
Apache-2.0
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS82
network or browser surface
Install availability
PASS92
npx skills add xuwei95/ezdata
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO72
filesystem or document access, network or browser access
Repository evidence
PASS86
https://github.com/xuwei95/ezdata
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add xuwei95/ezdata
Repository
88
https://github.com/xuwei95/ezdata
License
86
Apache-2.0
Maintenance
76
3mo since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
Usable description available
Dependency risk
82
network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
72
filesystem or document access, network or browser access
Stars/forks activity
62
283 stars, 58 forks; issue activity unavailable in current metadata
Adoption
68
283 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Warnings
Method
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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