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 anteloc · Agent Tool · ★ 159
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ldraw-nova safe to install? View the security audit →
ldraw-nova Give an AI agent a model idea. Guide it, let it build it, and get an LDraw LEGO© model. What you get when the building process finishes: Its source code, in LDraw language. Different views: 3D viewer, 3D player, VR interactive (Meta Quest 3), images... Blender editable glTF file, in format, metainfo as Blender's Custom Properties. Chat history and agent thinking process. and more... 👌 Take a look at the video: Installation [!IMPORTANT] Tools used by agents in order to find suitable parts and example models take advantage of jev-rerank (I'm also the author). This is a semantic search tool with re-ranking backed by TypeSafe's Jev System One AI model. - If you have a TypeSafe API key (), set its value on the web app's Settings section. - If you don't, reranking search will not work, and agents will resort to a FTS (Full Text Search) strategy as a fallback, which could (maybe) yield worse models. Run ldraw-nova as a web app, with Docker. You need Git and Docker. This web app will run dockerized, and to build the Docker image, two sib
| Stars | 159 |
| Forks | 9 |
| Language | Python |
| Category | Agent Tool |
| License | AGPL-3.0 |
| Quality Score | 65.1265289870472/100 |
| Open Issues | 2 |
| Last Updated | 2026-10-02 |
| Created | 2026-09-23 |
| Platforms | python |
| Est. Tokens | ~16k |
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ldraw-nova is Agent tooling for generative LEGO models building, built with Astra and Opus 5.5, powered by Jev. It is categorized as a Agent Tool with 159 GitHub stars.
ldraw-nova is primarily written in Python.
You can find installation instructions and usage details in the ldraw-nova GitHub repository at github.com/anteloc/ldraw-nova. The project has 159 stars and 9 forks, indicating an active community.
ldraw-nova is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to ldraw-nova on Agent Skills Hub include claude-plugins, tutor-skills. 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: