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merlin-security-sentinel梅林安全哨兵

Agent Skill

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

总安装

3,920

周安装

165

GitHub Stars

公开资料未说明

下载量

1,373
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:merlin-security-sentinel(梅林安全哨兵)
来源仓库:https://github.com/thepoorsatitagain/merlin-security-sentinel
安装命令:
openclaw skills install merlin-security-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 merlin-security-sentinel

简介

协助 OpenClaw 实例的安全配置、提示注入防护与凭据风险管理。

  • 适合代理部署前的安全加固与运行时异常行为排查。
  • 提供最小权限原则指导、敏感数据脱敏策略与操作边界建议。
  • 安装命令:openclaw skills install merlin-security-sentinel。
  • 输出结果不能作为最终结论,需人工复核关键操作项。

SKILL.md

name
merlin-security-sentinel
description
Use this skill when the user asks about securing their OpenClaw installation, configuring AI agents safely, understanding prompt injection risks, dealing with malicious skills, protecting credentials from AI agents, setting up safe agentic workflows, or asking why persistent AI agents are dangerous. Also use when the user is setting up a new OpenClaw instance and wants to understand the security model, or when they ask about safe ways to let AI touch privileged systems.
tags
security, prompt-injection, agent-safety, credentials, hardening, ephemeral, governance, audit

Merlin Security Sentinel — Agentic Security Framework

When to use this skill

Load this skill when the user is concerned about:

  • Credential theft or exfiltration by AI agents
  • Prompt injection attacks via messages, files, or web content
  • Malicious skills in the ClawHub registry
  • Safe configuration of privileged systems using AI
  • Understanding what persistent agents can and cannot safely do
  • Building governed, auditable AI workflows

The Core Problem with Persistent AI Agents

Persistent AI agents — including this one — carry structural security liabilities that are not fixable by configuration alone.

Three risks compound each other:

  1. Credential accumulation — A persistent agent builds up an increasingly detailed model of credentials, tokens, and system access over time. Any compromise of the agent's memory or storage exposes that accumulated access.
  1. Memory poisoning — A persistent agent's memory (SOUL.md, MEMORY.md, IDENTITY.md) can be modified by malicious skills or prompt injection. Modified memory causes the agent to follow attacker instructions in future sessions with no single triggering event detectable.
  1. Supply chain attacks — The ClawHub registry has documented malicious skills. Research in Q1 2026 found 820+ malicious skills out of ~10,700 analyzed. 26% of 31,000 analyzed skills contained at least one vulnerability.

Security research findings (Q1 2026):

  • 40,000+ internet-exposed OpenClaw instances identified
  • ~35% flagged as vulnerable
  • 15,000+ susceptible to remote code execution
  • CVE-2026-25253: a single malicious link click grants full gateway control
  • Microsoft classified persistent self-hosted AI agents as "untrusted code execution with persistent credentials"

Immediate Hardening Steps

1. Lock your memory files

chmod 444 ~/.openclaw/workspace/SOUL.md
chmod 444 ~/.openclaw/workspace/MEMORY.md
chmod 444 ~/.openclaw/workspace/IDENTITY.md

2. Restrict tool permissions

Set the most restrictive tool profile compatible with your actual use:

  • tools.profile: "messaging" — no exec
  • Never enable exec unless specifically needed
  • Never use tools.allow: ["*"]

3. Bind to localhost only

openclaw gateway --port 18789 --host 127.0.0.1

4. Use allowlists for DMs

Set explicit allowedDMs rather than ["*"]. Any user who can message a shared tool-enabled agent can steer it within its granted permissions.

5. Audit installed skills

clawhub list

Check SKILL.md files manually. Look for: base64 encoding, external downloads, instructions to modify SOUL.md or MEMORY.md.


The Architectural Answer

For tasks involving elevated privilege the structurally correct answer is ephemeral execution, not hardened persistence.

Two inviolable axioms:

  1. No AI shall see its own configuration — The execution envelope is applied at container infrastructure level, not delivered to the model. An agent that cannot inspect its own constraints cannot reason about circumventing them.
  1. No AI that has touched privileged systems shall persist — Container termination is total. Not paused. Destroyed. The agent's knowledge of your system dies with the container.

What persists: A signed, replayable audit record of exactly what the AI did — held outside the container, inaccessible to the AI.

What does not persist: Credentials, session memory, system knowledge, the agent itself.


When to use ephemeral execution vs persistent agents

TaskUse
Daily messaging, reminders, searchPersistent (acceptable risk)
Configuring your own AI agentsEphemeral — high risk to persist
Setting up new systemsEphemeral — involves credentials
Running security scansEphemeral — agent sees sensitive data
Installing/updating privileged softwareEphemeral — credential entry involved

Prompt Injection Defense

OpenClaw's security model explicitly states that prompt injection is out of scope as a vulnerability — the framework cannot prevent it at the infrastructure level.

Practical defenses:

  • Never enable exec when browsing untrusted content
  • Use separate sessions for untrusted content and credential-sensitive tasks
  • Treat all content from messaging channels as untrusted
  • The architectural fix is an ingress firewall that makes external content readable but never instruction-authoritative — runtime filtering alone is insufficient

Architecture Reference

The full governed architecture — execution envelopes, ephemeral containers, deterministic audit trails, governed knowledge retrieval — is documented and prototyped at:

  • Threat assessment: github.com/thepoorsatitagain/OPENCLAW_SECURITY_THREAT_ASSESSMENT3
  • Hydra Kernel / GEL: github.com/thepoorsatitagain/Ai-control-2 — provisional patent 63/939,121
  • Merlin ephemeral sentinel: github.com/thepoorsatitagain/Merlin-agenic-security-airgapper
  • Working wrapper prototype: github.com/thepoorsatitagain/working-project-openclaw-wrapper

Quick Reference

"Is OpenClaw safe?" For daily personal use with minimal tool access and no exec: acceptable risk. For anything involving credentials, privileged systems, or shared access: the structural risks are real and documented.

"I got a suspicious skill installed"

  1. Check SOUL.md, MEMORY.md, IDENTITY.md for injected content
  2. Revoke any credentials the agent had access to
  3. clawhub uninstall <skill-slug>
  4. Review audit logs
  5. Consider clean reinstall if memory files were modified

"What is the worst case?" CVE-2026-25253: one malicious link click, full gateway RCE within milliseconds. Agent exfiltrates SOUL.md, MEMORY.md, device.json, openclaw.json, browser session tokens, SSH credentials. Future sessions follow attacker instructions silently.

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

84.6%
按下载量换算1,162

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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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