Skill 审计报告
autoskill 审计报告.
Observe the user's screen via screenpipe, detect repeated research workflows, match them against existing scientific-agent-skills, and draft new skills (or composition recipes that chain existing ones) for the patterns not yet covered. Use when the user asks to analyze their recent work and propose skills based on what they actually do. Requires the screenpipe daemon (https://github.com/screenpipe/screenpipe) running locally on port 3030 — the skill has no other data source and will refuse to run if screenpipe is unreachable. All detection runs locally; only redacted cluster summaries reach the LLM.
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
34K 个 GitHub Stars
Star/Fork 活跃度
通过97
34K 个 Star,3.3K 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 license
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
警告46
command execution surface, credential or environment access
安装可用性
通过92
npx skills add K-Dense-AI/scientific-agent-skills --skill autoskill
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
失败22
secrets or environment access, shell or command execution
仓库证据
通过86
https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/autoskill
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 K-Dense-AI/scientific-agent-skills --skill autoskill
仓库
88
https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/autoskill
许可证
86
MIT license
维护
100
距上次推送 2 天
AI 审查
55
The skill depends on the screenpipe daemon and a SCREENPIPE_TOKEN; if the daemon is not running or the token is invalid, the skill will fail. Documentation covers this, but a more explicit error-handling section in SKILL.md could help.
README/SKILL.md 完整度
86
Usable description available
依赖风险
46
command execution surface, credential or environment access
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
22
secrets or environment access, shell or command execution
Star/Fork 活跃度
97
34K 个 Star,3.3K 个 Fork; 当前元数据中没有议题活跃度信息
采用度
88
34K 个 GitHub Stars
警告
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- The skill depends on the screenpipe daemon and a SCREENPIPE_TOKEN; if the daemon is not running or the token is invalid, the skill will fail. Documentation covers this, but a more explicit error-handling section in SKILL.md could help.
- Cloud backends (Claude/Foundry) are optional but require the user to supply API keys; the skill does not perform additional runtime validation of the endpoint beyond the cleartext check, so a misconfigured (but HTTPS) remote endpoint could receive data. This is acceptable given the user explicitly configures it, but the documentation could emphasise the privacy implications more strongly.
- Permission surface needs review: secrets or environment access, shell or command execution
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
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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