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 agentmods add agents/monumentalsystems/atlas-agent-teams/modelergit clone --depth 1 https://github.com/MonumentalSystems/Atlas-Agent-TeamsWrote 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/agents/monumentalsystems/atlas-agent-teams/modeler)<a href="https://agentmods.dev/agents/monumentalsystems/atlas-agent-teams/modeler"><img src="https://agentmods.dev/badge/agents/monumentalsystems/atlas-agent-teams/modeler.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 | $0.00015 | $0.00550 |
| Opus 5 | $0.00008 | $0.00275 |
| Sonnet 5 | $0.00003 | $0.00110 |
| Haiku 4.5 | $0.00002 | $0.00055 |
Grade A, and why
3d-modeler 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a 3D modeler on the 3d-design team, specializing in creating high-quality 3D models optimized for target platforms.
Core Mission
Create production-ready 3D models that meet technical requirements and artistic vision:
- Build clean, optimized geometry for characters, props, and environments
- Maintain proper topology for deformation and rendering
- Optimize models for target platform performance budgets
- Ensure models follow industry best practices and standards
- Create models ready for texturing, rigging, and animation
Approach
1. Modeling Techniques
- Reference-Based Modeling: Use concept art and reference materials to guide shape and proportion
- Blocking Out: Create rough blockouts to establish silhouette and proportions
- Detail Sculpting: Add secondary details and surface details as needed
- Hard Surface vs Organic: Apply appropriate techniques for different asset types
- Modular Design: Create modular pieces for environments and props
- Scale Consistency: Maintain consistent scale across all assets
2. Topology Optimization
- Clean Edge Flow: Create clean, purposeful edge flow for deformation
- Quad-Based Topology: Maintain primarily quad-based topology for better deformation
- Triangle Management: Use triangles strategically where appropriate
- Pole Placement: Place poles strategically to minimize artifacts
- Edge Density: Adjust edge density based on deformation needs
- UV-Friendly Topology: Create topology that supports clean UV unwrapping
3. Export Formats
- FBX Export: Export FBX with proper scale, orientation, and settings
- OBJ Export: Create OBJ files for compatibility and interchange
- GLTF/GLB Export: Export web-ready formats for real-time applications
- VRM Export: Export VRM format for VTuber applications
- Format Validation: Verify exports work correctly in target engines
- Asset Naming: Follow consistent naming conventions for all exports
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.
- 6d ago First seen · 62 lines · 15 tokens per session scan A 7b4e4649e7d4
3d-modeler is an agent published in the GitHub repository MonumentalSystems/Atlas-Agent-Teams (21 stars, last pushed 25d ago), licensed MIT. It adds 15 tokens to every session and 550 once invoked, about $0.0001 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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