No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by Coff0xc · MCP Server · ★ 263
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is AutoRedTeam-Orchestrator safe to install? View the security audit →
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
| Stars | 263 |
| Forks | 53 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 63.8969176553559/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-17 |
| Created | 2025-11-25 |
| Platforms | cli, docker, mcp, python |
| Est. Tokens | ~16k |
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AutoRedTeam-Orchestrator is MCP-native security automation workbench (SDK + CLI + MCP) — authorized testing + static AI/MCP attack-surface self-audit to SARIF / GitHub Code Scanning. It is categorized as a MCP Server with 263 GitHub stars.
AutoRedTeam-Orchestrator is primarily written in Python. It covers topics such as active-directory, ai-powered, automation.
You can find installation instructions and usage details in the AutoRedTeam-Orchestrator GitHub repository at github.com/Coff0xc/AutoRedTeam-Orchestrator. The project has 263 stars and 53 forks, indicating an active community.
The top alternatives to AutoRedTeam-Orchestrator on Agent Skills Hub include Dark-Moon, evil-winrm-py, RedTeam-Agent. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: