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 agent-sh · Claude Skill · ★ 984
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agentsys safe to install? View the security audit →
AgentSys A modular runtime and orchestration system for AI agents. Renamed from — The prefix implies a curated list of links, but this project is a functional software suite and runtime. Please update your installs: <p align="center
| Stars | 984 |
| Forks | 114 |
| Language | JavaScript |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 68.8160955359434/100 |
| Last Updated | 2026-09-13 |
| Created | 2026-01-15 |
| Platforms | claude-code, cli, codex, node |
| Est. Tokens | ~23k |
These tools work well together with agentsys for enhanced workflows:
Looking for a agentsys alternative? If you're comparing agentsys with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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agentsys is AI writes code. This automates everything else · 24 plugins · 49 agents · 44 skills · for Claude Code, OpenCode, Codex, Cursor, Kiro.. It is categorized as a Claude Skill with 984 GitHub stars.
agentsys is primarily written in JavaScript. It covers topics such as agent, ai, anthropic.
You can find installation instructions and usage details in the agentsys GitHub repository at github.com/agent-sh/agentsys. The project has 984 stars and 114 forks, indicating an active community.
agentsys is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to agentsys on Agent Skills Hub include ai-workflow, Unity-MCP, crystal. 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: