Skill 审计报告
gh-pr-review 审计报告.
Automated Cherry Studio review for local branches, PRs, commits, files, architecture docs, and repository skills. Use for code or documentation reviews that need project-specific naming, main/renderer/shared placement and dependency rules, IpcApi and DataApi boundaries, lifecycle/service ownership, renderer hooks, React/UI conventions, and tests. Supports single-agent review with interactive fix selection or multi-agent reviewer-verifier review with risk-based auto-fix. To diagnose gaps in the skill after a review session, run `/gh-pr-review diag`.
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100
51K 个 GitHub Stars
Star/Fork 活跃度
通过97
51K 个 Star，4.8K 个 Fork; 当前元数据中没有议题活跃度信息
近期维护
通过100
距上次推送 2 天
许可证清晰度
通过86
AGPL-3.0
README/SKILL.md 完整度
信息76
公开元数据需要更完整的 README/SKILL.md 上下文
依赖与运行时风险
通过82
network or browser surface
安装可用性
通过92
npx skills add CherryHQ/cherry-studio --skill gh-pr-review
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
信息72
filesystem or document access, network or browser access
仓库证据
通过86
https://github.com/CherryHQ/cherry-studio/tree/main/.agents/skills/gh-pr-review
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 CherryHQ/cherry-studio --skill gh-pr-review
仓库
88
https://github.com/CherryHQ/cherry-studio/tree/main/.agents/skills/gh-pr-review
许可证
86
AGPL-3.0
维护
100
距上次推送 2 天
AI 审查
88
Approved with no listed issues
README/SKILL.md 完整度
84
Usable description available
依赖风险
82
network or browser 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
72
filesystem or document access, network or browser access
Star/Fork 活跃度
97
51K 个 Star，4.8K 个 Fork; 当前元数据中没有议题活跃度信息
采用度
88
51K 个 GitHub Stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
警告
- Financial research output is not financial advice; require human review before any live investment decision
- Financial research output is not financial advice; require human review before any live investment decision.
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。
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