Skill 审计报告
iso-24495-3 审计报告.
Sector-specific Plain Language standard for science and technical writing (ISO 24495-3:2026). Applied during software documentation, architecture specs, and technical analysis.
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
警告48
89 个 GitHub Stars
Star/Fork 活跃度
警告43
89 个 Star，4 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
MIT
README/SKILL.md 完整度
通过86
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
信息72
命令执行范围
安装可用性
通过92
npx skills add GaZmagik/iso-24495 --skill iso-24495-3
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62
shell or command execution, filesystem or document access
仓库证据
通过86
https://github.com/GaZmagik/iso-24495/tree/main/skills/iso-24495-3
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 GaZmagik/iso-24495 --skill iso-24495-3
仓库
88
https://github.com/GaZmagik/iso-24495/tree/main/skills/iso-24495-3
许可证
86
MIT
维护
100
距上次推送 2 天
AI 审查
55
SKILL.md excerpt is truncated in the review, but the provided content is clear and complete enough for evaluation.
README/SKILL.md 完整度
86
Usable description available
依赖风险
72
命令执行范围
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
62
shell or command execution, filesystem or document access
Star/Fork 活跃度
43
89 个 Star，4 个 Fork; 当前元数据中没有议题活跃度信息
采用度
68
89 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
- SKILL.md excerpt is truncated in the review, but the provided content is clear and complete enough for evaluation.
- The skill is a style guide rather than a multi-step workflow, but it still provides actionable rules and examples.
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- GitHub adoption: 89 GitHub stars
- Stars/forks activity: 89 stars, 4 forks; issue activity unavailable in current metadata
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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