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在 OpenClaw 中安装
/install xiaopi-skill-vetter
功能描述
Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope,...
安全使用建议
This skill is essentially a human-readable vetting checklist and is coherent with its stated purpose, but treat it as guidance rather than an automated authority. Before installing or letting an agent run this vetter autonomously: 1) Verify provenance — the package metadata shows inconsistent owner IDs and no homepage; prefer skills with clear authorship. 2) Run any vetting actions in a sandbox or ephemeral VM so curl/raw file fetches can't cause harm. 3) Limit the agent's file-read scope to the skill package directory (do not let it read your home, ~/.ssh, ~/.aws, or other sensitive paths). 4) Manually confirm that the agent does not automatically transmit any collected data to external endpoints. 5) Treat the output of this skill as advisory and perform a human code review for high-risk skills. If you need higher assurance, ask for the publisher's identity or a signed release before trusting automated vetting.
功能分析
Type: OpenClaw Skill
Name: xiaopi-skill-vetter
Version: 1.0.0
The skill is a security utility designed to help AI agents vet other skills before installation. It provides a structured protocol, red flag checklists, and risk assessment levels in SKILL.md. The included shell commands are limited to fetching metadata and file contents from the GitHub API for review purposes, and no malicious intent or high-risk behaviors were identified.
能力评估
Purpose & Capability
The name and description (skill vetting) align with the SKILL.md content: it is an instruction-only vetting protocol that teaches how to review skills and provides curl examples for GitHub. It does not request unrelated credentials or binaries. However, the package metadata is inconsistent: the registry metadata ownerId (kn7256...) differs from _meta.json.ownerId (kn71j6...), and source/homepage are unknown — a provenance gap worth noting.
Instruction Scope
Instructions are narrowly focused on reviewing skill files, checking red flags, and using GitHub API/raw.githubusercontent to fetch files. This is appropriate. Two caution points: (1) the SKILL.md tells the agent to "Read ALL files in the skill" — that should be limited to the skill package area (not host home directories) to avoid accidental exposure of unrelated secrets; (2) Quick Vet Commands run network requests (curl) — expected, but network activity should be sandboxed and results validated.
Install Mechanism
No install spec and no code files — instruction-only. This is the lowest-risk install profile and consistent with the stated purpose.
Credentials
The skill requires no environment variables, credentials, or config paths. The guidance and quick commands are network/HTTP checks that don't demand secrets. This is proportionate to a vetting checklist.
Persistence & Privilege
always:false and disable-model-invocation:false (normal). The skill does not request persistent presence or elevated privileges. There are no instructions to modify other skills or global agent settings.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install xiaopi-skill-vetter - 安装完成后,直接呼叫该 Skill 的名称或使用
/xiaopi-skill-vetter触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release of skill-vetter — a security-first vetting protocol for AI agent skills.
- Provides a step-by-step checklist to review skill sources, code, permission scopes, and risk levels before installation.
- Lists critical red flags for immediate rejection and offers a clear risk classification framework.
- Includes a standardized vetting report template for documenting evaluations.
- Offers quick commands for assessing GitHub-hosted skills.
- Establishes a trust hierarchy and best practices to minimize security risks when installing new skills.
元数据
常见问题
Xiaopi Skill Vetter 是什么?
Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope,... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 103 次。
如何安装 Xiaopi Skill Vetter?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install xiaopi-skill-vetter」即可一键安装,无需额外配置。
Xiaopi Skill Vetter 是免费的吗?
是的,Xiaopi Skill Vetter 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Xiaopi Skill Vetter 支持哪些平台?
Xiaopi Skill Vetter 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Xiaopi Skill Vetter?
由 Adin(@a-din)开发并维护,当前版本 v1.0.0。
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