AutoRedTeam-Orchestrator: MCP-native security automation workbench — authorized testing + static AI/MCP attack-surface self-audit

by Coff0xc · MCP Server · ★ 263

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install AutoRedTeam-Orchestrator

git clone https://github.com/Coff0xc/AutoRedTeam-Orchestrator.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 64/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

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Quick Facts

Stars263
Forks53
LanguagePython
CategoryMCP Server
Quality Score64/100
Open Issues2
Last Updated2026-09-17
Created2025-11-25
Platformscli, docker, mcp, python
Est. Tokens~16k

About AutoRedTeam-Orchestrator

AutoRedTeam-Orchestrator 企业级 AI 红队编排平台 纯 Python 引擎 全链路攻击自动化 简体中文 · English <img src="https://img.shiel

Compatible Skills

These tools work well together with AutoRedTeam-Orchestrator for enhanced workflows:

  • red-run — semantic(0.38)+complementary+rare_topics+same_lang+similar_pop+shared_platform (67%)
  • Anthropic-Cybersecurity-Skills — semantic(0.26)+complementary+rare_topics+same_lang+similar_pop+shared_platform (63%)
  • fuzzforge_ai — semantic(0.20)+complementary+rare_topics+same_lang+similar_pop+shared_platform (61%)
  • watchtower — semantic(0.31)+complementary+rare_topics+same_lang+similar_pop+shared_platform (60%)
  • AgentPoison — semantic(0.31)+complementary+rare_topics+same_lang+similar_pop+shared_platform (60%)

AutoRedTeam-Orchestrator alternative? Top 6 similar tools

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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