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 markus-global · Agent Tool · ★ 195
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is markus safe to install? View the security audit →
Markus Build AI teams that actually deliver. The open-source AI workforce platform. Developers, researchers, writers, analysts — an AI team that runs around the clock at a fraction of the cost. Website · Blog · Docs · <a href="https:/
| Stars | 195 |
| Forks | 13 |
| Language | TypeScript |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 68.8590127859483/100 |
| Open Issues | 7 |
| Last Updated | 2026-09-23 |
| Created | 2026-03-19 |
| Platforms | node |
| Est. Tokens | ~16k |
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markus is The all-in-one AI workforce platform, to build AI agent teams. You are the boss.. It is categorized as a Agent Tool with 195 GitHub stars.
markus is primarily written in TypeScript. It covers topics such as agent-governance, agent-orchestration, agent-platform.
You can find installation instructions and usage details in the markus GitHub repository at github.com/markus-global/markus. The project has 195 stars and 13 forks, indicating an active community.
markus is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to markus on Agent Skills Hub include 5dive, openhermit, ai-maestro. 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: