by instavm · MCP Server · ★ 900
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/instavm/coderunner.git
claude plugin install instavm-coderunnerTaken from the project's README on GitHub. Check the security audit before running it.
Flagged: sudo usage, spawns subprocesses. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
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 | 900 |
| Forks | 40 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 67/100 |
| Open Issues | 11 |
| Last Updated | 2026-11-04 |
| Created | 2025-06-23 |
| Platforms | claude-code, cli, gemini, mcp, python |
| Est. Tokens | ~15k |
CodeRunner: A local sandbox for your AI agents CodeRunner helps you sandbox your AI agents and its actions inside a sandbox. Key use case: You can run multiple Claude Code or AI agents in our sandbox without any fear of data loss and exfilteration.
Looking for a coderunner alternative? If you're comparing coderunner 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.
A curated list of awesome LLM and AI Agent Skills, resources and tools for customising AI Agent workflows - th
High-performance OpenAI and Anthropic compatible LLM inference server for Apple Silicon. Native MLX, continuou
Notion MCP server with token auth: connect Claude Code, Claude Desktop, Cursor, VS Code and Codex to Notion pa
everything-claude-code 中文翻译项目：完整的 Claude Code 配置集合（agents, skills, hooks, commands, rules, MCPs）。源自 Anthropic
A lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents. Say goodbye to Vector RAG and
A set of tools that gives agents powerful capabilities.
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: