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 pacifio · MCP Server · ★ 458
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is cersei safe to install? View the security audit →
Cersei The complete Rust SDK for building coding agents. Cersei gives you every building block of a production coding agent — tool execution, LLM streaming, sub-agent orchestration, persistent memory, skills, MCP integration — as composable library functions. Build a Claude Code replacement, embed an agent in your app, or create something entirely new. MIT License GitHub Why Cersei File +
| Stars | 458 |
| Forks | 77 |
| Language | Rust |
| Category | MCP Server |
| License | MIT |
| Quality Score | 70.3364650504539/100 |
| Open Issues | 10 |
| Last Updated | 2026-08-06 |
| Created | 2026-04-02 |
| Platforms | claude-code, codex, mcp, rust |
| Est. Tokens | ~27k |
These tools work well together with cersei for enhanced workflows:
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cersei is The Rust SDK for building coding agents. Tool execution, LLM streaming, graph memory, sub-agent orchestration, MCP — as composable library functions.. It is categorized as a MCP Server with 458 GitHub stars.
cersei is primarily written in Rust. It covers topics such as agent, antrophic, claude-code.
You can find installation instructions and usage details in the cersei GitHub repository at github.com/pacifio/cersei. The project has 458 stars and 77 forks, indicating an active community.
cersei is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to cersei on Agent Skills Hub include agentsys, palot, kagan-legacy. 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: