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 cgoinglove · MCP Server · ★ 1.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is better-chatbot safe to install? View the security audit →
Keinsaas Navigator - A better open-source AI chatbot for individuals and teams. Originally created by Choi Sung Keun. .+At+least+one+LLM+provider+API+key+(OpenAI,+Claude,+or+Google)+is+required,+but+you+can+add+all+of+them.+See+the+link+below+for+details.&envLink=https://github.com/cgoinglove/better-chatbot/blob/main/.env.example&demo-title=better-chatbot&demo-description=An+Open-Source+Chatbot+Template+Built+With+Next.js+and+the+AI+SDK+by+Vercel.&products=[{"type":"integration","protocol":"storage","productSlug":"neon","integrationSlug":"neon"},{"type":"integration","protocol":"storage","productSlug":"upstash-kv","integrationSlug":"upstash"},{"t
| Stars | 1,117 |
| Forks | 344 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 66.343764072002/100 |
| Open Issues | 39 |
| Last Updated | 2026-06-10 |
| Created | 2025-04-13 |
| Platforms | browser, claude-code, cli, gemini, mcp, node |
| Est. Tokens | ~1320k |
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better-chatbot is Just a Better Chatbot. Powered by Agent & MCP & Workflows.. It is categorized as a MCP Server with 1.1k GitHub stars.
better-chatbot is primarily written in TypeScript. It covers topics such as agent, ai, ai-chatbot.
You can find installation instructions and usage details in the better-chatbot GitHub repository at github.com/cgoinglove/better-chatbot. The project has 1.1k stars and 344 forks, indicating an active community.
better-chatbot is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to better-chatbot on Agent Skills Hub include better-chatbot, archestra, flock. 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: