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Agent Skill · 研究检索

skill-defender(技能后卫)

skill-defender 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。

skill-defender 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 2,198。

总安装 65,950周安装 2,804GitHub Stars 5下载 23,105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:skill-defender(技能后卫)
来源仓库:https://github.com/itsclawdbro/skill-defender
安装命令:
openclaw skills install skill-defender
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-defender

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。

扫描已安装的 OpenClaw 技能是否存在恶意模式,包括提示注入、凭证盗窃、数据泄露、混淆的有效负载和后门。安装新技能时、技能更新后或定期安全扫描时使用。运行确定性模式匹配 — 快速、离线、无 API 成本。

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-defender;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

    它需要需要联网,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-defender 怎么安装?

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

skill-defender 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-defender 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

skill-defender 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-defender 用的人多吗?

公开数据是累计安装 65,950 次,近一周安装 2,804 次,下载 23,105 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。

skill-defender 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 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
skill-defender

技能后卫 · 本页

65,9505需要联网MIT-0通过

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-defender
description
Scans installed OpenClaw skills for malicious patterns including prompt injection, credential theft, data exfiltration, obfuscated payloads, and backdoors. Use when installing new skills, after skill updates, or for periodic security scans. Runs deterministic pattern matching — fast, offline, no API cost.

Skill Defender — Malicious Pattern Scanner

When to Run

Automatic Triggers

  1. New skill installed — Immediately run scan_skill.py against it before allowing use
  2. Skill updated — Re-scan after any file changes in a skill directory
  3. Periodic audit — Run batch scan on all installed skills when requested

Manual Triggers

  • User says "scan skill X" → scan that specific skill
  • User says "scan all skills" → batch scan all skills
  • User says "security check" or "audit skills" → same as above

Scripts

scripts/scan_skill.py — Single Skill Scanner

Scans one skill directory for malicious patterns. Produces JSON or human-readable output.

scripts/aggregate_scan.py — Batch Scanner

Scans ALL installed skills and produces a single JSON report. Includes a built-in allowlist to reduce false positives from security-related skills, API skills, and other known-safe patterns.

How to Run

# Scan a single skill (human-readable)
python3 scripts/scan_skill.py /path/to/skill-dir

# Scan a single skill (JSON output)
python3 scripts/scan_skill.py /path/to/skill-dir --json

# Scan ALL installed skills (JSON aggregate report)
python3 scripts/aggregate_scan.py

# With custom skills directory
python3 scripts/aggregate_scan.py --skills-dir /path/to/skills

# With verbose warnings
python3 scripts/scan_skill.py /path/to/skill-dir --verbose

# Exclude false positives
python3 scripts/scan_skill.py /path/to/skill-dir --exclude "pattern1" "pattern2"

Exit Codes (scan_skill.py)

  • 0 = clean or informational only
  • 1 = suspicious (medium/high findings)
  • 2 = dangerous (critical findings)
  • 3 = error

Output Format (aggregate_scan.py)

{
  "skills": [
    {
      "name": "skill-name",
      "verdict": "clean|suspicious|dangerous|error",
      "findingsCount": 0,
      "findings": []
    }
  ],
  "summary": "All 37 skills passed with no significant issues.",
  "totalSkills": 37,
  "cleanCount": 37,
  "suspiciousCount": 0,
  "dangerousCount": 0,
  "errorCount": 0,
  "timestamp": "2026-02-02T06:00:00+00:00"
}

Auto-Detection

Both scripts auto-detect paths:

  • Skills directory: Detected from script location (walks up to find skills/ parent), falls back to ~/clawd/skills, ~/skills, ~/.openclaw/skills
  • Scanner script: aggregate_scan.py finds scan_skill.py co-located in the same directory

Handling Results

✅ Clean (verdict: "clean")

  • No action needed — skill is safe

⚠️ Suspicious (verdict: "suspicious")

  • Warn the user with a summary of findings
  • Show the category and severity of each finding

🚨 Dangerous (verdict: "dangerous")

  • Block the skill — do not proceed with installation or use
  • Show the full detailed findings to the user
  • Require explicit user override to proceed

Built-in Allowlist

The aggregate scanner includes an allowlist for known false positives:

  • Security scanners (skill-defender, clawdbot-security-check) — their docs/scripts contain the very patterns they detect
  • Auth-dependent skills (tailscale, reddit, n8n, event-planner) — legitimately reference credential paths and API keys
  • Config-aware skills (memory-setup, eightctl, summarize) — reference config paths in documentation
  • Agent-writing skills (self-improving-agent) — designed to modify agent files

Pattern Reference

See references/threat-patterns.md for full documentation of all detected patterns, organized by category with explanations of why each is dangerous.

Important Notes

  • No external dependencies — standard library only (Python 3.9+)
  • Fast — under 1 second per skill, ~30 seconds for a full batch of 30+ skills
  • This is deterministic pattern matching (Layer 2 defense). Not LLM-based.
  • False positives are possible — the allowlist and --exclude flag help
  • The scanner will flag itself if scanned without the allowlist — this is expected

平台分布

OpenClaw

82.65%
按下载量换算19,096

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。目前只有一个公开来源,建议同时核对源仓库。

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