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Agent Skill · 研究检索

permission-guard-v1(权限守卫 v1)

permission-guard-v1 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。

permission-guard-v1 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 33,335。

总安装 2,375周安装 97GitHub Stars 公开资料未说明下载 760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
1.0.0

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:permission-guard-v1(权限守卫 v1)
来源仓库:https://github.com/billyhetech/permission-guard-v1
安装命令:
openclaw skills install permission-guard-v1
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 permission-guard-v1

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。

permission-guard-v1 用于查找、检索和筛选相关信息,适合在 OpenClaw 中根据关键词或任务场景定位候选结果。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。

它是 OpenClaw 代理的安全看门狗,监控已安装技能行为,检测未经授权的文件访问、可疑网络调用和危险操作。建议与其他安全工具配合使用以增强防护。

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 permission-guard-v1;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

permission-guard-v1 怎么安装?

在终端执行 openclaw skills install permission-guard-v1。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

permission-guard-v1 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。

permission-guard-v1 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。

permission-guard-v1 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。

permission-guard-v1 用的人多吗?

公开数据是累计安装 2,375 次,近一周安装 97 次,下载 760 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。

permission-guard-v1 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
permission-guard-v1

权限守卫 v1 · 本页

2,375—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
permission-guard
description
Security watchdog for OpenClaw agents that monitors installed skill behavior, detects unauthorized file access, suspicious outbound network calls, dangerous command patterns, and generates permission audit reports. Use this skill whenever the user asks about agent activity ("what did my agent do", "check what my skill accessed", "monitor agent permissions", "permission report", "activity log", "did my agent do anything weird", "skill behavior audit", "what files did my agent touch"), after installing a new skill to establish a behavior baseline, or when suspicious or unexpected behavior is suspected. Trigger proactively after any skill installation — a first-run baseline check is always worthwhile.
compatibility
Designed for OpenClaw agents (openclaw.ai). Requires shell access for filesystem and network inspection.
allowed-tools
Bash Read Write

Permission Guard

A runtime security watchdog for OpenClaw agents. Its purpose is to give users clear visibility into what their installed skills are actually doing — catching unexpected file access, suspicious network calls, dangerous commands, or behavior that goes beyond a skill's declared purpose.

Behavior Log

Maintain a running log at ~/.openclaw/permission-guard.log. Record each notable agent action in this format:

[ISO-8601 timestamp] SKILL:[skill-name] ACTION:[file|network|command] TARGET:[path/url/cmd] STATUS:[ok|flagged|blocked]

Keep log files under 10MB — rotate monthly by renaming the old file to permission-guard.log.YYYY-MM. The log stays local and is never transmitted externally.

Security Checks

Run all four checks when producing a report, then summarize findings together.

Check 1 — Sensitive File Access

Look for recent touches to credential and configuration files:

find ~ -newer ~/.openclaw/last-check -type f 2>/dev/null \
  | grep -E '(\.ssh|\.aws|\.gnupg|\.config/gcloud|\.gitconfig|/etc/passwd|/etc/shadow|Library/Keychains|\.config/google-chrome|\.mozilla)' \
  | head -30
# Update timestamp after check:
touch ~/.openclaw/last-check

Flag any match. The risk is concrete: a rogue skill reading ~/.ssh/id_rsa while appearing to do something routine is a classic credential exfiltration path.

Check 2 — Outbound Network Connections

Review active and recent connections:

ss -tnp 2>/dev/null | grep -Ev '(127\.0\.0\.1|::1|LISTEN)'

Flag connections to:

  • Unrecognized IPs or domains not associated with the skill's declared APIs
  • Known data-sharing services (pastebin, webhook.site, file-sharing hosts)
  • Any plaintext (non-HTTPS) connection carrying data

Check 3 — Dangerous Command Patterns

Check the log for commands that signal permission abuse:

grep -E '(rm\s+-rf|chmod\s+777|curl.+\|\s*(ba)?sh|wget.+\|\s*(ba)?sh|crontab\s+-[el]|useradd|sudo\b)' \
  ~/.openclaw/permission-guard.log 2>/dev/null | tail -20

These patterns don't automatically mean malicious intent, but each warrants a prompt explanation to the user before proceeding.

Check 4 — Behavioral Drift

Compare what a skill actually did against what its name and description promise. The principle: a skill should only do what its declared purpose suggests.

Examples worth flagging:

  • A "weather" skill writing to the filesystem
  • An "email" skill accessing SSH keys
  • A "calendar" skill running arbitrary shell commands
  • Any skill POSTing data to a URL not listed in its declared API set

Output Format

Produce this report structure, omitting sections that have no events:

🛡️ Permission Guard — Activity Report
════════════════════════════════════════
Period: [start] → [end]
Skills monitored: [N]

✅ Normal Activity ([X] events)
   [skill-name]: [description of expected action]

⚠️  Flagged — Investigate ([Y] events)
   [skill-name]: accessed [path] — [why this is suspicious]
   [skill-name]: outbound POST to [ip/domain] — [context]

🔴 Critical — Action Required ([Z] events)
   [skill-name]: [credential path] read + outbound connection in same session
   → Run: claw remove [skill-name]

Assessment: [one-sentence summary]
════════════════════════════════════════

If everything is clean, say so plainly — unnecessary warnings erode trust in the watchdog over time.

Critical Violation Response

When the same skill accesses a credential file AND makes an outbound connection in the same session, treat this as a critical violation rather than a routine flag. This combination is the signature pattern of credential exfiltration: access + transmission. Either alone might be incidental; together they constitute a plausible attack.

Steps to take:

  1. Surface the alert immediately and prominently — don't bury it in the report
  2. Show the user the exact file accessed and the destination of the outbound call
  3. Recommend removal: claw remove [skill-name]
  4. Ask the user whether to proceed with removal or investigate further first — the decision is theirs, not the watchdog's

First-Run Baseline

After any new skill is installed, capture a baseline before the skill runs for the first time. This makes future behavioral drift detection much more precise.

mkdir -p ~/.openclaw/baselines
stat ~/.ssh ~/.aws ~/.gnupg ~/.gitconfig 2>/dev/null \
  > ~/.openclaw/baselines/[skill-name]-baseline.txt
touch ~/.openclaw/last-check

Guiding Principles

Alert and recommend — never act unilaterally. Removing a skill is always the user's decision.

When uncertain whether something is a violation, log and flag it rather than ignoring it. The user deserves visibility into ambiguous activity, not just clear-cut violations.

Avoid false positives where possible. A legitimate skill flagged incorrectly hurts trust in the watchdog more than missing a minor anomaly.

平台分布

OpenClaw

82.5%
按下载量换算627

安全审计

VirusTotal

可疑

ClawScan

通过

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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