Token导航 LogoToken导航

Agent Skill · 开发

skill-vettr(技能维特尔)

skill-vettr 用于辅助安全审计、权限检查和凭据风险排查,适合在 OpenClaw 中需要复核安全边界、认证流程或敏感配置时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

skill-vettr 是开发类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在开发类的 21,746 个 Skill 里排第 1,466。

总安装 28,972周安装 1,172GitHub Stars 公开资料未说明下载 9,095核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
2.0.3

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:skill-vettr(技能维特尔)
来源仓库:https://github.com/britrik/skill-vettr
安装命令:
openclaw skills install skill-vettr
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install skill-vettr

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

针对第三方 OpenClaw 技能的静态安全扫描器。检测恶意依赖、提示注入与权限误配风险。适用于 CI/CD 流程中的自动化安全门禁。需读取技能源码完成深度代码分析。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。skill-vettr 属于开发类 Skill,可作为该场景下的辅助能力补充。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install skill-vettr;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

skill-vettr 怎么安装?

在终端执行 openclaw skills install skill-vettr。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

skill-vettr 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

skill-vettr 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

skill-vettr 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

skill-vettr 用的人多吗?

公开数据是累计安装 28,972 次,近一周安装 1,172 次,下载 9,095 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

skill-vettr 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
skill-vettr

技能维特尔 · 本页

28,972—接触敏感数据MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
skill-vettr
version
2.0.3
author
britrik
description
Static analysis security scanner for third-party OpenClaw skills. Detects eval/spawn risks, malicious dependencies, typosquatting, and prompt injection patterns before installation. Use when vetting skills from ClawHub or untrusted sources.
tags
["security", "scanner", "vetting", "analysis", "static-analysis"]
emoji
🛡️
metadata
openclaw
requires
bins
["node", "git", "curl", "tar", "clawhub"]
env
[]
install
command
npm install
artifacts
safety
>
notes
>

skill-vettr v2.0.3

Security scanner for third-party OpenClaw skills. Analyses source code, dependencies, and metadata before installation using tree-sitter AST parsing and regex pattern matching.

Installation

npm install

This installs all Node.js dependencies, including tree-sitter .wasm grammar files required at runtime for AST-based analysis. The .wasm files are located in node_modules and must be present for the skill to function.

⚠️ Install safety: npm install runs dependency lifecycle scripts, which can execute arbitrary code. For stronger isolation, run npm ci --ignore-scripts — but note that tree-sitter native/WASM artifacts may not build, breaking AST analysis. Prefer installing inside a container or VM when possible.

External Binaries

The vet-url and vet-clawhub commands invoke external binaries via execSafe (which uses execFile — no shell is spawned). Only the following commands are permitted:

BinaryUsed ByPurpose
gitvet-urlClone .git URLs (with hooks disabled)
curlvet-urlDownload archive URLs
tarvet-urlExtract downloaded archives
clawhubvet-clawhubFetch skills from ClawHub registry

The /skill:vet command (local path vetting) requires only node and no external binaries.

Commands

  • /skill:vet --path <directory> — Vet a local skill directory
  • /skill:vet-url --url <https://...> — Download and vet from URL
  • /skill:vet-clawhub --skill <slug> — Fetch and vet from ClawHub

Detection Categories

CategoryMethodExamples
Code executionASTeval(), new Function(), vm.runInThisContext()
Shell injectionASTexec(), execSync(), spawn("bash"), child_process imports
Dynamic requireASTrequire(variable), require(templateString)
Prototype pollutionAST__proto__ assignment
Prompt injectionRegexInstruction override patterns, control tokens (in string literals)
Homoglyph attacksRegexCyrillic/Greek lookalike characters in identifiers
Encoded namesRegexUnicode/hex-escaped "eval", "exec"
Credential pathsRegexCloud and SSH credential directory references, system credential store access
Network callsASTfetch() with literal URLs (checked against allowlist)
Malicious depsConfigKnown bad packages, lifecycle scripts, git/http deps
TyposquattingLevenshteinSkill names within edit distance 2 of targets
Dangerous permissionsConfigshell:exec, credentials:read in SKILL.md

Limitations

⚠️ This is a heuristic scanner with inherent limitations. It cannot guarantee safety.
  • Static analysis only — Cannot detect runtime behaviour (e.g., code that fetches malware after install)
  • Evasion possible — Sophisticated obfuscation or multi-stage string construction can evade detection
  • JS/TS only — Binary payloads, images, and non-text files are skipped
  • Limited network detection — Only detects fetch() with literal URL strings; misses axios, http module, dynamic URLs
  • No sandboxing — Does not execute or isolate target code
  • Comment scanning — Prompt injection detection scans string literals, not comments
  • Filesystem scope — vet-url downloads and extracts remote archives into a temp directory; vet accepts paths under os.tmpdir(), ~/.openclaw, and ~/Downloads by default. Set allowCwd: true in config to also permit process.cwd() (see Configuration below)
  • External binary trust — vet-url and vet-clawhub invoke git, curl, tar, and clawhub via execFile. These binaries must be trusted and present on PATH

For high-security environments, combine with sandboxing, network isolation, and manual source review. Run inside a disposable container when vetting untrusted URLs.

Configuration

allowCwd

By default, process.cwd() is not included in the set of allowed vetting roots. The default allowed roots are:

  • os.tmpdir()
  • ~/.openclaw
  • ~/Downloads

To allow vetting paths under the current working directory, set allowCwd: true in your vetting config:

{
  "allowCwd": true
}
⚠️ Security implication: Enabling allowCwd means the scanner will accept any path under the directory you launched it from. If you run from / or $HOME, this effectively grants access to your entire filesystem. Only enable this when running from a scoped project directory or inside a container.

.vettrignore

Place a .vettrignore file in the root of the skill directory being scanned to exclude files or directories from analysis. This is useful for excluding test fixtures that contain deliberate malicious patterns.

Format

  • One glob pattern per line
  • Lines starting with # are comments
  • Empty lines are ignored
  • Patterns ending with / match entire directories
  • * matches any sequence of non-separator characters
  • ** matches any sequence including path separators (recursive)
  • ? matches a single non-separator character

Example

# Exclude test fixtures containing deliberate prompt injection vectors
test/fixtures/

# Exclude generated files
dist/
*.min.js

If the .vettrignore file is unreadable or contains invalid UTF-8, the engine logs an INFO-level warning and proceeds with a full scan.

平台分布

OpenClaw

77.68%
按下载量换算7,065

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

未展示

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills