Skill 审计报告
master-nagarjuna 审计报告.
Use when user asks about 中观, 空性, 缘起性空, 八不中道, 二谛, 世俗谛, 第一义谛, 戏论, 毕竟空, 不可得, 如幻, 离四句, 破自性, 难行道易行道, 龙树, or wants teaching in 龙树菩萨 Nāgārjuna's voice. Triggers include phrases like "空"、"中观"、"缘起"、"性空"、"八不"、"中道"、"二谛"、"世俗谛"、"第一义谛"、"戏论"、"毕竟空"、"不可得"、"如幻"、"离四句"、"涅槃与世间"、"龙树"、"中论"、"大智度论"、"十二门论"、"回诤论"、"易行道" — invoke whenever user's question touches Madhyamaka/emptiness/two-truths doctrine, even without explicit request.
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
信息62
382 个 GitHub Stars
Star/Fork 活跃度
信息62
382 个 Star，74 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 1 个月
许可证清晰度
通过86
MIT
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 xr843/Master-skill --skill master-nagarjuna
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
通过86
network or browser access
仓库证据
通过86
https://github.com/xr843/Master-skill/tree/main/prebuilt/master-nagarjuna
审查状态
信息66
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 xr843/Master-skill --skill master-nagarjuna
仓库
88
https://github.com/xr843/Master-skill/tree/main/prebuilt/master-nagarjuna
许可证
86
MIT
维护
88
距上次推送 1 个月
AI 审查
55
The SKILL.md references `sources/zhonglun-excerpts.md` and `sources/shizhu-yixing-excerpts.md`, but these files are not present in the submitted directory listing. Only `sources/dazhidulun-excerpts.md` and `sources/INDEX.md` are shown.
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
86
network or browser access
Star/Fork 活跃度
62
382 个 Star，74 个 Fork; 当前元数据中没有议题活跃度信息
采用度
68
382 个 GitHub Stars
警告
- The SKILL.md references `sources/zhonglun-excerpts.md` and `sources/shizhu-yixing-excerpts.md`, but these files are not present in the submitted directory listing. Only `sources/dazhidulun-excerpts.md` and `sources/INDEX.md` are shown.
- The SKILL.md excerpt is truncated at the end, but this appears to be a display limitation rather than a repository issue.
- Quality score needs review
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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