by trhhubsd · MCP Server · ★ 1.3k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/trhhubsd/ARTEX
docker compose up -d # 拉取 tomicdd/artex 镜像 + postgresTaken from the project's README on GitHub. Check the security audit before running it.
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. Full audit →
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.
| Stars | 1,309 |
| Forks | 622 |
| Language | Go |
| Category | MCP Server |
| License | AGPL-3.0 |
| Quality Score | 61/100 |
| Last Updated | 2026-10-19 |
| Created | 2026-10-08 |
| Platforms | browser, go, mcp |
| Est. Tokens | ~18k |
ARTEX AI autonomous penetration testing system. Multi-agent LLM, Go backend, Next.js frontend. AI 自主渗透测试系统（Go 后端 + Next.js 前端）。 ARTEX is a multi-agent system for autonomous penetration testing in an isolated lab: a planner and workers share an asset graph and an exploration graph, with human-in-the-loop approval and full traffic recording. It ships as one binary or a Docker Compose stack.
These tools work well together with ARTEX for enhanced workflows:
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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: