by SpatiaOS · Agent Tool · ★ 408
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
bun run scripts/procedura.ts -o outputs/daybed --image ref.png --prompt "..."
bun run scripts/procedura.ts -o outputs/daybed --image-model gpt-image-1 --prompt "..."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 | 408 |
| Forks | 30 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 70/100 |
| Open Issues | 2 |
| Last Updated | 2026-10-20 |
| Created | 2026-08-27 |
| Platforms | node |
| Est. Tokens | ~17k |
Agentic 3D Modeling with Procedural Control Procedura turns a text prompt into an editable procedural assembly — a parametric program whose named parts are joined by typed mates, written with a frozen LLM and no 3D training. Left: the compiled geometry. Right: further objects coloured by their named modules, a part decomposition that comes free with the representation.
These tools work well together with Procedura for enhanced workflows:
Looking for a Procedura alternative? If you're comparing Procedura 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.
MAC (Multi-Agent CAD): A decoupled multi-agent framework for text-to-CAD generation via constrained test-time
Desktop app for designing parametric 3D models in CadQuery together with the coding agent of your choice
Build and revise procedural 3D assets with your coding agent. Local MCP server, CLI and TypeScript engine with
Give your AI agent a 3D body: text or a photo to a rigged GLB avatar, an LLM brain, a Solana wallet and a one-
Awesome LLM Papers and repos on very comprehensive topics.
AI agent skills for Meshy AI 3D generation platform
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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: