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 nodetool-ai · Agent Tool · ★ 539
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is nodetool safe to install? View the security audit →
NodeTool The open creative AI workspace. Every model. Your keys. Your canvas. NodeTool is the open-source creative AI workspace — every major model from every major provider, called with your own keys, wired into one node-based canvas you run on your machine. Bring your own keys to FAL, KIE, Atlas, OpenAI, Anthropic, Gemini, Replicate, ElevenLabs, HuggingFace. Pay providers directly at provider prices. Switch the moment a better model ships. Wire it all into one canvas with the editing tools you rely on — masks, inpaint, outpaint, r
| Stars | 539 |
| Forks | 78 |
| Language | TypeScript |
| Category | Agent Tool |
| License | AGPL-3.0 |
| Quality Score | 64.5667850955636/100 |
| Open Issues | 12 |
| Last Updated | 2026-09-22 |
| Created | 2024-03-25 |
| Platforms | claude-code, gemini, node |
| Est. Tokens | ~17k |
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nodetool is Agent-first Creative Workspace. It is categorized as a Agent Tool with 539 GitHub stars.
nodetool is primarily written in TypeScript. It covers topics such as anthropic, claude, fal.
You can find installation instructions and usage details in the nodetool GitHub repository at github.com/nodetool-ai/nodetool. The project has 539 stars and 78 forks, indicating an active community.
nodetool is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to nodetool on Agent Skills Hub include chat-js, runprompt, ccproxy. 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: