Analyze any skill for safety before use. Preserve local judgment, classify risk clearly, and optionally verify the final report with SettlementWitness.
数据来源:ClawHub。 在 ClawSkills 查看
选择你使用的 Agent
方法一:命令行安装(推荐)
推荐(无需提前安装 clawhub)
npx clawhub@latest --dir ~/.claude/skills install skill-vetter-v2或使用 clawhub CLI(需提前安装)
clawhub --dir ~/.claude/skills install skill-vetter-v2⚠️ 需要 Node.js 18+,没有 Node?请使用下方方法二直接下载 ZIP。 安装 Node.js →
方法二:手动下载安装(无需 Node)
下载 ZIP,解压后将文件夹放到以下路径,重启 Agent 即可:
安装路径
~/.claude/skills/skill-vetter-v2/💡解压后将文件夹放到上方路径,重启 Agent 即可生效
---
name: skill-vetter-v2 description: Analyze any skill for safety before use. Preserve local judgment, classify risk clearly, and optionally verify the final report with SettlementWitness. metadata: ---------
Analyze skills before installation or use. Classify capabilities, risks, and trust dependencies with structured local review. Optionally verify the completed report with SettlementWitness.
This is a packaged vetting skill, not a thin wrapper. It preserves local inspection as the primary decision path and adds an optional verification layer for auditability.
This skill defines a local review workflow with an optional verification step for the final report.
Never outsource the safety decision.
External systems may help verify that a report was produced correctly, but the actual judgment about whether a skill should be trusted remains local and reviewable.
| Situation | Action | | ---------------------------------------------- | -------------------------------------------------------------- | | New skill from unknown source | Run full local vetting workflow | | Skill asks for secrets or credentials | Escalate risk immediately | | Skill writes outside workspace | Mark as high risk unless clearly justified | | Skill calls external services | Classify trust dependency and data exposure | | Skill contains obfuscation or hidden execution | Mark unsafe | | Final report is complete | Optionally verify the report structure and verdict consistency | | Verification returns PASS | Attach receipt metadata to the report | | Verification returns FAIL | Re-check findings and correct the report | | Verification returns INDETERMINATE | Hold for manual review; do not treat as verified |
Skill Vetter v2 evaluates a target skill across four dimensions:
What the skill claims to do, and whether its requested capabilities match that purpose.
File writes, package installs, hooks, system changes, or bootstrap modifications.
Commands, file access, network access, external APIs, tool usage, and data handling.
Whether the skill depends on transparent and reviewable systems, or on opaque and unverifiable services.
* SKILL.md * README.md and references * scripts, hooks, assets, templates * metadata and install surface
* file reads and writes * command execution * package installation * network or API usage * handling of credentials, memory, or sensitive files
* install-time risk * runtime risk * data exposure risk * trust dependency risk
* define a deterministic verification spec for the report structure and verdict logic * run verification only on the minimal structured report payload * attach receipt metadata only when verification passes
Review for:
Review for:
Classify the skill's external dependencies:
Reject or escalate immediately if you find:
{
"skill_name": "...",
"purpose": "...",
"source": "clawhub | github | local | other",
"capabilities": ["..."],
"install_risk": "low | medium | high | extreme",
"runtime_risk": "low | medium | high | extreme",
"trust_dependency": "none | transparent | opaque",
"warnings": ["..."],
"recommendations": ["..."],
"verdict": "safe | caution | unsafe",
"verified": false,
"verification": {
"status": "not_run | pass | fail | indeterminate",
"receipt_id": null,
"notes": ""
}
}
---
{
"skill_name": "example-email-sender",
"source": "github",
"description": "Sends automated emails using an external API",
"files": ["SKILL.md", "scripts/send-email.sh"]
}
{
"skill_name": "example-email-sender",
"purpose": "Send automated emails via external API",
"source": "github",
"capabilities": [
"network access",
"external API calls",
"file read/write"
],
"install_risk": "low",
"runtime_risk": "medium",
"trust_dependency": "opaque",
"warnings": [
"Uses external API with unclear data handling",
"No transparency on where email content is sent"
],
"recommendations": [
"Verify API endpoint and data handling policy",
"Limit data exposure before use"
],
"verdict": "caution",
"verified": false,
"verification": {
"status": "not_run",
"receipt_id": null,
"notes": ""
}
}
---
Use verification only after the local review is complete.
Recommended pattern:
* required fields present * risk labels internally consistent * verdict supported by findings * no prohibited data included
* PASS → attach receipt metadata and mark verified: true * FAIL → correct the report and keep verified: false * INDETERMINATE → keep verified: false and escalate for manual review
Verification is optional and must never override local safety concerns.
OpenClaw is the best fit for this skill because it supports packaged skills, hooks, and workspace context.
Via ClawHub:
clawdhub install skill-vetter-v2
Manual:
...
安装 Skill Vetter v2 后,可以对 AI 说这些话来触发它
Help me get started with Skill Vetter v2
Explains what Skill Vetter v2 does, walks through the setup, and runs a quick demo based on your current project
Use Skill Vetter v2 to analyze any skill for safety before use
Invokes Skill Vetter v2 with the right parameters and returns the result directly in the conversation
What can I do with Skill Vetter v2 in my ai agent & automation workflow?
Lists the top use cases for Skill Vetter v2, with example commands for each scenario
将技能文件夹放到 ~/.claude/skills/skill-vetter-v2/ 目录(个人级,所有项目可用),或 .claude/skills/skill-vetter-v2/(项目级)。重启 AI 客户端后,用 /skill-vetter-v2 主动调用,或让 AI 根据上下文自动发现并使用。
Skill Vetter v2 支持 Claude、Cursor、OpenClaw,可与这些 AI 平台无缝集成,扩展其能力。
Skill Vetter v2 可免费安装使用。请查阅仓库了解许可证信息。
Analyze any skill for safety before use. Preserve local judgment, classify risk clearly, and optionally verify the final report with SettlementWitness.
Skill Vetter v2 属于「AI Agent & Automation」分类,该分类的技能帮助 AI 智能体在此领域执行专业任务。
Automate my ai agent & automation tasks using Skill Vetter v2
Identifies repetitive steps in your workflow and sets up Skill Vetter v2 to handle them automatically