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.

实验性 · 审查需审查生成于 2026年8月22日启发式元数据审计
84
审计
73
信任
92
质量
72
安全性
100
维护
92
安装

OpenAgentSkill 信任评分

73
强候选

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

8 通过 · 10 需审查

安装路径

92

通过

npx skills add K-Dense-AI/scientific-agent-skills --skill autoskill

仓库

88

通过

https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/autoskill

许可证

86

通过

MIT license

维护

100

通过

距上次推送 2 天

AI 审查

55

检查

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

通过

Usable description available

依赖风险

46

修复

command execution surface, credential or environment access

安装命令安全性

92

通过

标准软件包或运行时安装路径

权限范围

22

修复

secrets or environment access, shell or command execution

Star/Fork 活跃度

97

通过

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

通过

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。

对比相近选项

下一步可审计的相关 Skill