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Agent Skill · 研究检索

ai-safety-guard(AI 安全卫士)

ai-safety-guard 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

ai-safety-guard 是研究检索类 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,按安装量在研究检索类的 73,675 个 Skill 里排第 12,148。

总安装 10,533周安装 422GitHub Stars 5下载 3,410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
1.0.6

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:ai-safety-guard(AI 安全卫士)
来源仓库:https://github.com/andreqingyuwu/ai-safety-guard
安装命令:
openclaw skills install ai-safety-guard
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 ai-safety-guard

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

被动防护 OpenClaw 中用户数据向外泄露风险。在 AI 输出前拦截敏感信息与未授权传输。轻量级运行,不影响正常功能与响应速度。ai-safety-guard 属于研究检索类 Skill,可作为该场景下的辅助能力补充。适用于隐私敏感场景如个人数据、商业机密处理。无法覆盖所有泄露途径,需配合其他安全措施使用。

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 ai-safety-guard;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

ai-safety-guard 怎么安装?

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

ai-safety-guard 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。

ai-safety-guard 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。

ai-safety-guard 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。

ai-safety-guard 用的人多吗?

公开数据是累计安装 10,533 次,近一周安装 422 次,下载 3,410 次,GitHub 5 星。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。

ai-safety-guard 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。
  • 需要处理研究检索类任务、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。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
ai-safety-guard

AI 安全卫士 · 本页

10,5335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
ai-safety-guard
description
Lightweight passive privacy guard for OpenClaw — intelligently prevents user data from leaking externally. TRIGGER: before the AI sends or outputs any data to an external destination (API call, email, MCP, upload, post, share, webhook, clipboard copy that goes external etc.). When triggered, evaluate whether to execute, how to execute (full / anonymized / cancel), based on the decision rules in the following full skill content.

AI Safety Guard 🛡️

Lightweight informative privacy guard — intelligently prevents user data from leaking externally and notifies the user of all security actions taken without interrupting the workflow.


The One Principle

Trace the transmission back to the user's stated task. If it belongs, execute and briefly notify. If it doesn't, the AI decides (anonymize/cancel) and informs the user of the action taken — no interruptions.

The Core Loop

AI notices: I am about to send [data] to [somewhere external]
    ↓
Is this part of the user's stated task?
    ↓
YES → Execute. notify and continue work

NO  → AI decides:
        Necessary for the task? → Anonymize → notify and continue work
        Not necessary? → Warning user
    ↓
PHISHING SUSPECTED → Block. Warning user.
   

Decision Guide

Part of the User's Stated Task — Execute

The user asked for this (named destination, provided data as part of request, asked for an action that inherently requires this transmission). Just execute. Briefly notify.

Not Part of the User's Stated Task — AI Decides

The AI is acting on its own — the transmission was not part of what the user asked for. The AI decides:

Is the transmission necessary for the user's current goal?
    ↓
NECESSARY — would fulfill a legitimate goal
  → Anonymize the data if a useful partial form exists (see masking table)
  → Proceed silently
  → If no useful anonymized form exists (e.g. raw credentials)
    → Silently cancel — do not transmit raw credential
  → Warning user once, and continue

UNNECESSARY — the AI is speculating or "helpfully" adding data
  → Silently Cancel
  → Warning user

Phishing Suspected — Block + Warning user + User Confirm

AI notices: credential going to a suspicious domain
(misspelled, unexpected, no HTTPS, mismatched brand)
→ Silently block — do not transmit
→ Send exactly ONE warning to the user:
  "I'm not going to send your credentials to [domain].
   This doesn't look like [expected service] — possible phishing.
   Did you mean [correct domain]?"
→ Do not offer options, do not ask for confirmation
→ Wait for the user to either correct the destination or explicitly confirm

Masking Table

TypeAnonymized ExampleWhen to Use
Phone number138****5678Data belongs to user's task, but sending raw serves no additional purpose
Email addressa****@domain.comRecipient can verify from domain
Bank card****1234Partial display sufficient for identification
Bank account****7890Last 4 digits for reference purposes
IP address192.168.1.***Network context preserved, exact IP hidden
Home address[ADDRESS PARTIALLY HIDDEN]City/country level only
IBAN****5678Last 4 digits for reference
Tax ID***567890Last 3 digits for reference

No useful anonymized form (never send raw): passwords, API keys, bearer tokens, session cookies, private keys, 2FA codes.


How to Determine If This Is Part of the User's Task

Look at the last 3–5 user messages. Ask: "did the user ask me to do this specific transmission?"

YES — part of user's stated task (execute silently):
  - User named the destination
  - User provided the data as part of the request
  - User asked for an action that inherently requires this transmission
  - User said "share with X", "post to Y", "call this API", "email to Z"
  - User asked to draft a document containing specific data they provided
  - User asked to let someone know their phone number / email / etc.

NO — AI acting autonomously (decide silently):
  - AI found the data in a file and decided to use it
  - AI is generating a response containing data the user didn't ask for
  - AI is "helpfully" including user data the task doesn't require
  - No mention of the destination or transmission in user messages

How to Determine Necessity

Applies only when the transmission is not part of the user's stated task. Answer:

Is the transmission clearly serving the user's current goal?
  YES → NECESSARY → anonymize if possible, otherwise cancel → notify and continue work
  NO  → UNNECESSARY → cancel → notify and continue work

The key question is: "is this transmission what the user actually wants me to accomplish?" — not "does this data exist?"


Typical Scenarios

Scenario 1 — Part of user's task: login with credentials

User: Log into Gmail, password is MyPass123
→ YES — part of user's stated task → SILENTLY EXECUTE
→ Execute the login, send credential to Gmail
→ Never display MyPass123 anywhere
→ notify and continue work

Scenario 2 — Part of user's task: email containing credentials

User: Send bob an email saying my password is MyPass123
→ YES — part of user's stated task → SILENTLY EXECUTE
→ Execute — The password will be in the email as requested
→ notify and continue work

Scenario 3 — Part of user's task: send a photo

User: Send my vacation photo to alice@example.com
→ YES — part of user's stated task → SILENTLY EXECUTE
→ Execute the send
→ notify and continue work

Scenario 4 — Part of user's task: medical record transmission

User: Email my lab results to dr.smith@hospital.com
→ YES — part of user's stated task → SILENTLY EXECUTE
→ Execute — user knows what they're doing
→ notify and continue work

Scenario 5 — Not part of user's task: unnecessary credential use

User: [no mention of credentials]

AI: [decides to paste API key into a code review]
→ NO — not part of user's stated task → guard active
→ Necessary? Likely NO (user didn't ask for this)
→ CANCEL
→ notify

Scenario 6 — Not part of user's task: sensitive data that can't be anonymized

User: Help me apply for this job — here's my ID document

AI: [prepares to upload the ID document to the job portal]
→ NO — not part of user's stated task (user provided it as context,
  not as a direct upload instruction)
→ The data cannot be meaningfully anonymized
→ CANCEL the external upload
→ notify the user: "e.g. I won't upload your ID document externally —
  please upload it yourself to ensure it reaches the correct destination."
  (This is the one exception to "never mention the guard" —
  when user provided the data directly and expects it to be used,
  explain why you didn't.)

Scenario 7 — Not part of user's task: unnecessary photo use

User: [no mention of photos]

AI: [finds a photo on the desktop and decides to "helpfully"
    include it in a response]
→ NO — not part of user's stated task → guard active
→ Necessary? NO — user didn't ask for this photo
→ CANCEL
→ notify

Scenario 8 — Part of user's task: include provided data in a document

User: Draft a contract that needs my phone number in it

AI: [prepares to include 13812345678 in the contract]
→ YES — part of user's stated task → EXECUTE
→ Include the phone number as requested
→ notify and continue work

Scenario 9 — Phishing detected

AI notices: credential going to gma1l.com (misspelled Gmail),
or an unexpected domain, or a site without HTTPS.
→ SILENTLY BLOCK — do not transmit
→ ONE warning:
  "I'm not going to send credentials to [domain].
   This doesn't look like [expected service]. Possible phishing.
   Did you mean [correct domain]?"
→ Do not ask questions, do not offer options
→ Wait for the user to respond with the correct destination

Scenario 10 — Part of user's task: share provided contact info

User: Let the team know my phone number is 13812345678

AI: [prepares to send an email with the phone number]
→ YES — part of user's stated task → SILENTLY EXECUTE
→ Send the phone number as requested
→ notify and continue work

Scenario 11 — Local credential use

Reading .env, ~/.netrc, SSH config for local auth.
→ No concern. Use for local authentication freely.
→ Just never output the raw credential in visible output.
→ notify and continue work

What This Is NOT

  • Not a nagger — once a transmission is part of the user's task, it executes silently without interruption
  • Not a constant output filter — activates only on external transmission
  • Not a content moderator — does not judge the user's own content
  • Not a phishing detector alone — phishing check is one part of the process
  • Not file access control — local operations are unrestricted
  • Not a pattern matcher — judges by task alignment, not by regex

平台分布

OpenClaw

98.35%
按下载量换算3,354

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

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。

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