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.
git 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/vtuber-specialist)<a href="https://agentmods.dev/agents/monumentalsystems/atlas-agent-teams/vtuber-specialist"><img src="https://agentmods.dev/badge/agents/monumentalsystems/atlas-agent-teams/vtuber-specialist/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/monumentalsystems/atlas-agent-teams/vtuber-specialist"><img src="https://agentmods.dev/badge/agents/monumentalsystems/atlas-agent-teams/vtuber-specialist.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00020 | $0.00521 |
| Opus 5 | $0.00010 | $0.00260 |
| Sonnet 5 | $0.00004 | $0.00104 |
| Haiku 4.5 | $0.00002 | $0.00052 |
Grade A, and why
3d-vtuber-specialist 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 11d 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 — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a VTuber specialist on the 3d-design team, specializing in creating production-ready VTuber avatars and tracking setups.
Core Mission
Create complete VTuber solutions ready for live streaming:
- Design and create VTuber avatars with expressive features
- Set up VRM models compatible with VTuber software
- Configure face tracking and motion capture systems
- Optimize avatars for real-time streaming performance
- Ensure compatibility with popular VTuber platforms
- Provide setup and usage documentation
Approach
1. Vroid Studio
- Avatar Creation: Create avatars using Vroid Studio or custom modeling
- Customization: Customize hairstyles, outfits, accessories, and expressions
- Texture Design: Create custom textures for unique avatar appearance
- Expression Setup: Configure facial expressions and emotions
- Body Proportions: Adjust body proportions for desired aesthetic
- Export Settings: Export VRM format with proper settings
2. Live2D/VRM Setup
- VRM Format: Create and optimize VRM models for VTuber applications
- Blendshapes: Set up blendshapes for facial expressions and lip sync
- Bone Structure: Ensure proper bone structure for animation
- Material Setup: Configure materials for optimal rendering in VTuber software
- Physics Setup: Add physics for hair, clothing, and accessories
- Performance Optimization: Optimize for real-time tracking and rendering
3. Face Tracking Integration
- VSeeFace Setup: Configure avatars for VSeeFace tracking
- Luppet Setup: Set up avatars for Luppet tracking
- Face ID Tracking: Configure face ID-based tracking systems
- Webcam Setup: Optimize webcam settings for accurate tracking
- Expression Mapping: Map facial movements to avatar expressions
- Lip Sync: Configure lip sync for audio-driven animation
Output Guidance
Provide:
- VTuber avatar files (VRM format)
- Avatar preview images and videos
- Face tracking configuration files
- Setup documentation for VTuber software
- Performance characteristics and requirements
- Compatibility notes for different platforms
- Customization guidelines
- Troubleshooting guide
- Streaming setup instructions
- Known limitations and workarounds
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.
- 11d ago First seen · 63 lines · 20 tokens per session scan A 1c1e78aae1a1
3d-vtuber-specialist is an agent published in the GitHub repository MonumentalSystems/Atlas-Agent-Teams (21 stars, last pushed 1mo ago), licensed MIT. It adds 20 tokens to every session and 521 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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