by CyniaAI · Agent Tool · ★ 163
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
pip install -r components/BuilderGPT/requirements.txt
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 | 163 |
| Forks | 30 |
| Language | JavaScript |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 68/100 |
| Last Updated | 2026-02-22 |
| Created | 2024-04-12 |
| Platforms | node |
| Est. Tokens | ~1498k |
BuilderGPT \ Structure in the banner is generated by BuilderGPT with model . ⚠️ Project Status: Development Paused Thank you to everyone who has supported this project! As we continued to explore the intersection of AI and Minecraft, we discovered a much more elegant and native solution. Therefore, active development on this project has been paused.
Looking for a BuilderGPT alternative? If you're comparing BuilderGPT with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
The open context engine for AI agents support 15+ data sources. Built on Rust and Apache DataFusion.
The missing linter and lsp for AI coding assistants. Validate CLAUDE.md, AGENTS.md, SKILL.md, hooks, MCP. Plug
Odyssey: Empowering Minecraft Agents with Open-World Skills
An introduction to the world of AI Agents
MCP server for Claude Code/VSCode/Cursor/Windsurf to use editor self functionality. ⚡ Get real-time LSP diagno
Ultimate Context Engineering Infrastructure, starting from MCPs and Integrations
Explore other popular agent tool 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: