360 Secure SkillHub
360 安全技能中心

Arc Security Mcp

通过远程 MCP 端点提供 agent 生态安全情报:查询已知危险 skill、对 skill 源码做 25 条危险模式静态扫描、基于 LLM 的意图与能力错配分析、22 类 agent 攻击说明、威胁态势统计与分类安全清单。自述数据来自 361+ 次 skill 审计的 743+ 条发现。

Trypto1019
Trypto1019
热度 74.29
最近更新 2026-02-26 08:30:40
分类:安全依赖:MCP 服务 / 第三方 API应用场景:代码审查 / 研究 / 概念解释

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.