by sudocode-ai · MCP Server · ★ 292
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npm install -g sudocode
claude plugin install sudocode
Taken from the project's README on GitHub.
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.
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 | 292 |
| Forks | 27 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 71/100 |
| Open Issues | 12 |
| Last Updated | 2026-03-18 |
| Created | 2025-10-16 |
| Platforms | claude-code, cli, mcp, node |
| Est. Tokens | ~1995k |
sudocode npm install -g sudocode Automate the logistics of managing context and agents. Direct the work instead of babysitting agents. sudocode is a lightweight agent orchestration system that lives in your repo. Adding sudocode into your repo adds inst
Looking for a sudocode alternative? If you're comparing sudocode with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Open-source control plane for your AI agents. Connect tools, hire agents, track every token and dollar
One secure endpoint for every MCP server. Deploy anywhere.
Open source AI coding platform with Web IDE, multi-agent system, 37+ tools, MCP protocol. MIT licensed.
🏛 [UNDER CONSTRUCTION] A (roman) claude plugin marketplace
Open-source cross-agent memory layer for coding agents via MCP. Compatible with Claude Code, Codex, Cursor, Wi
Overture is an open-source, locally running web interface delivered as an MCP (Model Context Protocol) server
Explore other popular mcp server tools:
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: