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openclaw-sentinelOpenClaw sentinel 搜索

Agent Skill

openclaw-sentinel 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。

总安装

49,152

周安装

2,048

GitHub Stars

1

下载量

16,384
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:openclaw-sentinel(OpenClaw sentinel 搜索)
来源仓库:https://github.com/atlaspa/openclaw-sentinel
安装命令:
openclaw skills install openclaw-sentinel
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 openclaw-sentinel

简介

Agent Skill的供应链安全。安装前检查、安装后扫描、混淆检测和已知错误签名匹配。在技​​能接触您的工作空间之前验证其是否安全。免费警报层 — 升级到 openclaw-sentinel-pro,用于隔离、阻止和社区威胁源。

SKILL.md

name
openclaw-sentinel
user-invocable
true
metadata
{"openclaw":{"emoji":"🏰","requires":{"bins":["python3"]},"os":["darwin","linux","win32"]}}

OpenClaw Sentinel

Supply chain security scanner for agent skills. Detects obfuscated code, known-bad signatures, suspicious install behaviors, dependency confusion, and metadata inconsistencies — before and after installation.

The Problem

You install skills from the community. Any skill can contain obfuscated payloads, post-install hooks that execute arbitrary code, or supply chain attacks that modify other skills in your workspace. Existing tools verify file integrity after the fact — nothing inspects skills for supply chain risks before they run.

Commands

Scan Installed Skills

Deep scan of all installed skills for supply chain risks. Checks file hashes against a local threat database, detects obfuscated code patterns, suspicious install behaviors, dependency confusion, and metadata inconsistencies. Generates a risk score (0-100) per skill.

python3 {baseDir}/scripts/sentinel.py scan --workspace /path/to/workspace

Scan a Single Skill

python3 {baseDir}/scripts/sentinel.py scan openclaw-warden --workspace /path/to/workspace

Pre-Install Inspection

Scan a skill directory BEFORE copying it to your workspace. Outputs a SAFE/REVIEW/REJECT recommendation and shows exactly what binaries, network calls, and file operations the skill will perform.

python3 {baseDir}/scripts/sentinel.py inspect /path/to/skill-directory

Manage Threat Database

View current threat database statistics.

python3 {baseDir}/scripts/sentinel.py threats --workspace /path/to/workspace

Import a community-shared threat list.

python3 {baseDir}/scripts/sentinel.py threats --update-from threats.json --workspace /path/to/workspace

Quick Status

Summary of installed skills, scan history, and risk score overview.

python3 {baseDir}/scripts/sentinel.py status --workspace /path/to/workspace

Workspace Auto-Detection

If --workspace is omitted, the script tries:

  1. OPENCLAW_WORKSPACE environment variable
  2. Current directory (if AGENTS.md exists)
  3. ~/.openclaw/workspace (default)

What It Detects

CategoryPatterns
Encoded Executioneval(base64.b64decode(...)), exec(compile(...)), eval/exec with encoded strings
Dynamic Imports\_\_import\_\_('os').system(...), dynamic subprocess/ctypes imports
Shell Injectionsubprocess.Popen with shell=True + string concatenation, os.system()
Remote Code Execurllib/requests combined with exec/eval — download-and-run patterns
ObfuscationLines >1000 chars, high-entropy strings, minified code blocks
Install BehaviorsPost-install hooks, auto-exec in \_\_init\_\_.py, cross-skill file writes
Hidden FilesNon-standard dotfiles and hidden directories
Dependency ConfusionSkills shadowing popular package names, typosquatting near-matches
Metadata MismatchUndeclared binaries, undeclared env vars, invocable flag inconsistencies
Serializationpickle.loads, marshal.loads — arbitrary code execution via deserialization
Known-Bad HashesFile SHA-256 matches against local threat database

Risk Scoring

Each skill receives a score from 0-100:

ScoreLabelMeaning
0CLEANNo issues detected
1-19LOWMinor findings, likely benign
20-49MODERATEReview recommended
50-74HIGHSignificant risk, review required
75-100CRITICALSerious supply chain risk

Threat Database Format

Community-shared threat lists use this JSON format:

{
  "hashes": {
    "<sha256hex>": {"name": "...", "severity": "...", "description": "..."}
  },
  "patterns": [
    {"name": "...", "regex": "...", "severity": "..."}
  ]
}

Exit Codes

  • 0 — Clean, no issues
  • 1 — Review needed
  • 2 — Threats detected

No External Dependencies

Python standard library only. No pip install. No network calls. Everything runs locally.

Cross-Platform

Works with OpenClaw, Claude Code, Cursor, and any tool using the Agent Skills specification.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

78.24%
按下载量换算12,819

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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