by plmbr · MCP Server · ★ 350
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
pip install notebook-intelligenceTaken 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 | 350 |
| Forks | 70 |
| Language | Python |
| Category | MCP Server |
| License | GPL-3.0 |
| Quality Score | 66/100 |
| Open Issues | 48 |
| Last Updated | 2026-10-29 |
| Created | 2024-09-22 |
| Platforms | claude-code, codex, mcp, python |
| Est. Tokens | ~20k |
Notebook Intelligence Notebook Intelligence (NBI) is an AI coding assistant and extensible AI framework for JupyterLab. It adds chat, inline edit, auto-complete, and an agent that can drive notebooks — backed by GitHub Copilot, an OpenAI-compatible or LiteLLM-compatible endpoint, local Ollama models, or Anthropic's Claude Code CLI. NBI is free and open-source.
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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: