Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by TokenRhythm · MCP Server · ★ 7.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is opensquilla safe to install? View the security audit →
OpenSquilla — Token-Efficient AI Agent Same budget, more capability, better results. A microkernel AI agent for your CLI, Web UI, and chat channels. English · 中文 · 日本語 · Français · Deutsch · Español News 📢 2026-08-22 — The English version of our technical report is now on aiXiv: [aixiv.2608
| Stars | 7,033 |
| Forks | 569 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 66.2853788996873/100 |
| Open Issues | 232 |
| Last Updated | 2026-09-21 |
| Created | 2026-05-06 |
| Platforms | mcp, python |
| Est. Tokens | ~22k |
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opensquilla is OpenSquilla — Token-Efficient AI Agent with same budget, higher intelligence density. It is categorized as a MCP Server with 7.0k GitHub stars.
opensquilla is primarily written in Python. It covers topics such as agent, ai, ai-agents.
You can find installation instructions and usage details in the opensquilla GitHub repository at github.com/TokenRhythm/opensquilla. The project has 7.0k stars and 569 forks, indicating an active community.
opensquilla is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to opensquilla on Agent Skills Hub include opensquilla, AI-Infra-Guard, mcp-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: