Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add rawwerks/VibeCAD --skill render-glbgit clone --depth 1 https://github.com/rawwerks/VibeCADWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/rawwerks/vibecad/render-glb)<a href="https://agentmods.dev/skills/rawwerks/vibecad/render-glb"><img src="https://agentmods.dev/badge/skills/rawwerks/vibecad/render-glb.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00076 | $0.00562 |
| Opus 5 | $0.00038 | $0.00281 |
| Sonnet 5 | $0.00015 | $0.00112 |
| Haiku 4.5 | $0.00008 | $0.00056 |
Grade A, and why
render-glb scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Render GLB to Image
Render 3D GLB files to PNG images so agents can visually verify their work.
Zero-Setup with bunx
bunx render-glb model.glb output.png
No installation required. First run downloads the tool, subsequent runs are instant.
Why This Matters
Agents can generate 3D models but typically can't see them. This creates a visual verification loop:
- Generate model → export GLB
- Render GLB → PNG
- Read PNG → see what you built
- Iterate if needed
Basic Usage
# Render with defaults (good for most cases)
bunx render-glb model.glb preview.png
# Then read the image to see your work
# (use Read tool on preview.png)
Options
bunx render-glb <input.glb> <output.png> [options]
Options:
--width <n> Image width in pixels (default: 800)
--height <n> Image height in pixels (default: 600)
--background <hex> Background color (default: #808080)
Visual Verification Workflow
When building 3D models, use this pattern:
# 1. Build your model
from build123d import Box, Sphere, export_gltf
model = Box(20, 20, 20) + Sphere(radius=15)
export_gltf(model, "./model.glb", binary=True)
# 2. Render to image
bunx render-glb model.glb preview.png
# 3. Read the image (using Read tool)
# Now you can SEE what you built and verify it's correct
Integration with CAD Skills
This skill complements:
- build123d - Python CAD modeling
- Any tool that exports GLB format
Typical workflow:
- Use CAD skill to generate geometry
- Export to GLB
- Use render-glb to verify visually
- Iterate if model isn't correct
Links
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 85 lines · 0 tokens per session scan A 1d0f0cb4ecfc
render-glb is a skill published in the GitHub repository rawwerks/VibeCAD (117 stars, last pushed 8mo ago), licensed MIT. It adds 76 tokens to every session and 562 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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