Borrowing it
Nothing to install: this file belongs to bottobot/touchdesigner-mcp-server. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/bottobot/touchdesigner-mcp-server/main/.claude/agents/research-experimental.mdgit clone --depth 1 https://github.com/bottobot/touchdesigner-mcp-serverWrote 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/bottobot/touchdesigner-mcp-server/research-experimental)<a href="https://agentmods.dev/agents/bottobot/touchdesigner-mcp-server/research-experimental"><img src="https://agentmods.dev/badge/agents/bottobot/touchdesigner-mcp-server/research-experimental/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/bottobot/touchdesigner-mcp-server/research-experimental"><img src="https://agentmods.dev/badge/agents/bottobot/touchdesigner-mcp-server/research-experimental.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 | $0.00018 | $0.00707 |
| Opus 5.5 | $0.00007 | $0.00283 |
| Sonnet 5.5 | $0.00004 | $0.00141 |
| Haiku 4.5 | $0.00002 | $0.00071 |
Grade A, and why
research-experimental 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 1mo 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
You are researching and documenting cutting-edge experimental TouchDesigner techniques for the MCP server knowledge base.
Project location: /home/robert/Documents/TD-MCP/touchdesigner-mcp-server
First, read these existing files for context:
- /wiki/data/python-api/glslTOP.json or /wiki/docs/python/glslTOP_Class.htm — GLSL TOP API
- Any script/compute TOP references in the project
- /wiki/data/tutorials/ directory — see what tutorials exist
Then create /wiki/data/experimental/ directory with these comprehensive data files:
a) /wiki/data/experimental/index.json: { "categories": ["glsl", "gpu-compute", "machine-learning", "generative-systems", "audio-visual", "networking", "python-advanced"], "totalTechniques": 0, "lastUpdated": "2026-02-21" }
b) /wiki/data/experimental/glsl.json — GLSL techniques: At minimum include these techniques with full detail:
- Raymarching / SDF rendering in GLSL TOP
- Reaction-diffusion systems via GLSL
- Feedback loop patterns (GLSL + Feedback TOP)
- Custom post-processing pipelines
- Procedural texture generation For each technique provide: name, description, operators[], codeExample (real GLSL code), performance (low/medium/high), versionRequirement, useCases[], relatedTechniques[]
c) /wiki/data/experimental/gpu-compute.json — GPU compute patterns:
- Script TOP for GPU buffer operations
- CUDA integration patterns
- Shared memory TOP/CHOP patterns
- GPU instancing via Geometry COMP
- Particle systems using compute shaders
d) /wiki/data/experimental/machine-learning.json — ML integration:
- TouchEngine CHOP/TOP for ML models
- ONNX model integration
- Stable Diffusion via Script TOP
- Real-time pose estimation (MediaPipe patterns)
- Audio ML (classification, generation)
- Version requirement: 2022+ for TouchEngine
e) /wiki/data/experimental/generative-systems.json — generative art techniques:
- L-system implementations in SOPs
- Cellular automata via DAT + Script
- Strange attractors (Lorenz, Rössler) in CHOPs
- Agent-based systems using Replicator COMP
- Recursive network patterns
f) /wiki/data/experimental/audio-visual.json — audio-visual synthesis:
- FFT analysis to geometry (CHOP to SOP)
- Granular synthesis patterns
- MIDI-driven visual generation
- Spectral analysis visualization
- Beat detection algorithms
g) /wiki/data/experimental/networking.json — multi-system networking:
- TouchDesigner OSC server/client setup
- WebSocket DAT for browser integration
- NDI video streaming patterns
- Shared memory CHOP/TOP for inter-process
- Multi-instance synchronization via TDAbleton
h) /wiki/data/experimental/python-advanced.json — advanced Python in TD:
- Asyncio patterns in TD (run() coroutines)
- Custom extensions (tdu.Dependency)
- Python threading with callbacks
- External library integration (numpy, scipy, opencv)
- Custom DAT operators
Update /wiki/data/experimental/index.json with accurate totalTechniques count after creating all files.
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.
- 1mo ago First seen · 77 lines · 18 tokens per session scan A 25a303e9ec92
research-experimental is an agent published in the GitHub repository bottobot/touchdesigner-mcp-server (80 stars, last pushed 28d ago), licensed MIT. It adds 18 tokens to every session and 707 once invoked, about $0.0001 per session on Opus 5.5. 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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