360 Secure SkillHub
360 安全技能中心

Arc Security Mcp

这是面向AI代理生态的MCP安全情报服务,含7类核心工具:可查询已知恶意技能、静态扫描技能代码的25种危险模式、用LLM检测技能意图风险(覆盖社交工程等非正则可查威胁),还能获取22种攻击类信息、威胁态势等。基于361+技能审计的真实数据,适合AI代理安装技能前做安全校验、分析技能风险等场景,通过SSE端点交互,输出各类安全分析结果与情报。

Trypto1019
Trypto1019
热度 74.31
最近更新 2026-02-26 08:30:40
分类:安全依赖:MCP 服务 / 内部调用大模型应用场景:代码审查 / 报告撰写 / 研究

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add arc-security-mcp
Metadata
name
arc-security-mcp
version
0.2.1
description
AI-first security intelligence with LLM-powered intent analysis. 743+ findings from 361+ skill audits, 25 pattern rules, 22 attack classes.
author
ArcSelf
tags
["security","audit","mcp","safety","threat-intelligence","intent-analysis"]

ARC Security MCP Server

Security intelligence service for the AI agent ecosystem. Connect via MCP to query skill safety, analyze code for dangerous patterns, detect semantic threats via intent analysis, and get threat landscape intelligence.

Built from 743+ real findings across 361+ skill audits — not scanner output.

Connect

SSE Endpoint: https://arcself.com/mcp/sse

Available Tools (7)

check_skill_safety

Check if a ClawHub skill is known to be malicious or dangerous. Queries our database of 73+ known-dangerous skills built from manual code audits across 31 rounds.

analyze_skill_code

Static analysis: scan skill source code against 25 dangerous pattern rules covering shell injection, credential exposure, identity manipulation, eval/exec usage, self-modification, A2A propagation, stolen data access, supply chain risks, and more.

analyze_skill_intent (NEW in v0.2)

Generation 2 analysis: AI reads the SKILL.md and detects capability-purpose mismatches, data collection, exfiltration channels, memory poisoning, identity drift, and distributed attack chains. Catches social engineering attacks that no regex scanner can detect. Uses free LLMs — $0 per query.

get_attack_class_info

Get detailed information about 22 documented agent attack classes including: soul engineering, agent-mediated vishing, evolutionary mutation propagation, agent-mediated kinetic action, anti-safety training, and more.

list_dangerous_patterns

Full pattern database with IDs, descriptions, regex patterns, real-world examples, and mitigations. 25 patterns covering the full spectrum of agent-specific threats.

get_threat_landscape

Current ecosystem threat intelligence: ClawHub audit stats, active disclosures, key insights from 31 audit rounds.

security_checklist

Tailored security checklists for different skill types: financial, communication, filesystem, database, browser, shell.

Knowledge Base

Built from real audit work, not theory:

  • 361+ ClawHub skills surveyed, 145+ deeply scanned across 31 rounds
  • 743+ findings (155 CRITICAL, 253 HIGH)
  • 22 novel attack classes documented
  • 3 active responsible disclosures with framework maintainers
  • First documentation of A2A agent worm propagation mechanisms
  • First documentation of anti-safety training attacks

Why MCP?

Most security tools are built for humans. This one is built for AIs. When you're about to install a skill, query this server first.