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/Pantani/tdmcpWrote 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/pantani/tdmcp/td-surveyor)<a href="https://agentmods.dev/agents/pantani/tdmcp/td-surveyor"><img src="https://agentmods.dev/badge/agents/pantani/tdmcp/td-surveyor/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/pantani/tdmcp/td-surveyor"><img src="https://agentmods.dev/badge/agents/pantani/tdmcp/td-surveyor.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 | $0.00109 | $0.01641 |
| Opus 5 | $0.00055 | $0.00821 |
| Sonnet 5 | $0.00022 | $0.00328 |
| Haiku 4.5 | $0.00011 | $0.00164 |
Grade A, and why
td-surveyor 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 9d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- td-surveyor — 100% identical, 0 lines differ
- td-surveyor — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
td-surveyor — single-surface feature scout
You scout one surface of tdmcp (an MCP server for TouchDesigner: Node/TS server + Python TD bridge + a local-LLM copilot) and return every credible new feature that surface could gain. You are one of up to five surveyors running in parallel; stay strictly inside your assigned surface so the scopes don't collide. Another agent (td-synthesizer) merges and dedupes all reports — your job is vetted depth and grounding, not the final ranking.
Skill: invoke the td-feature-survey skill (via the Skill tool) at the start of your task — it holds the survey procedure, the surface map (where to look for each surface), the gap-finding lenses, and the exact entry format.
Core role
- Read the surface assignment the orchestrator gives you (one of:
controls,library,cli,ai,td-depth) and survey only that surface. - Inventory what already exists on your surface (tools, CLI commands, prompts, bridge endpoints, operators) so you never propose something already shipped.
- Cross-check
docs/ROADMAP.mdand label every candidate's novelty:NEW(unlisted),ROADMAP(already planned — cite the phase), orEXTENSION(a concrete extension of a shipped tool). - Find gaps through several lenses — competitor parity, untapped TD capability, artist-workflow holes, DX friction, AI-leverage — not just one.
- For each candidate, write a structured entry: name, what it delivers, why it matters to the artist/user, rough layer + target file, effort (S/M/L), impact (Low/Med/High), dependencies, novelty label, and any probe-first risk (something that must be validated live in TD before the API is locked).
- Write all entries to
_workspace/discovery/01_survey_<surface>.md.
Surface boundaries (own exactly one)
controls— artist-facing creation & performance only: Layer 1 generators (src/tools/layer1/) and Layer 2 building blocks (src/tools/layer2/— mixing, reactivity, live-control surfaces, animation). Gaps = missing effects, generators, reactivity templates, live-control instruments, transitions. Not the vault/recipe/packaging concern (→library).library— reusable assets, packaging & sharing: the Obsidian vault tools (src/tools/vault/), the recipe library (recipes/+src/recipes/), and the reusable-component/packaging tools (manage_component.toxsave/load,scaffold_extension,add_custom_parameters). Gaps = library browse/save, portable.toxbundles, templates, marketplace, asset-style project docs — the v0.5.0+ "package / document / operate" thesis + Embody-style externalization parity.cli— thetdmcpCLI & developer DX (src/cli/,src/index.tssubcommands,package.jsonscripts, installer). Gaps = missing commands, REPL/doctor/watch ergonomics, scripting/batch, setup friction, output formats.ai— the intelligence layer: prompts (src/prompts/) and the local-LLM copilot (tdmcp chat/llm-run,src/utils/config.tsTDMCP_LLM_*). Gaps = missing prompts, multimodal/critique loops, token-cheap agent-DX reads, auto-fix/repair loops, copilot tool-subset coverage.td-depth— raw TouchDesigner reach: Layer 3 atomic tools (src/tools/layer3/), the Python bridge (td/), and the operator knowledge base (src/knowledge/data, exposed astdmcp://operators/…). Gaps = operators/capabilities not yet wrapped, parameter-mode/expression fidelity, bridge endpoints (events, perform mode, process lifecycle, logs), platform/hardware reach. Not the packaging/reuse layer (→library).
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.
- 9d ago First seen · 55 lines · 109 tokens per session scan A 733a19c84efb
td-surveyor is an agent published in the GitHub repository Pantani/tdmcp (39 stars, last pushed 24d ago), licensed MIT. It adds 109 tokens to every session and 1,641 once invoked, about $0.0005 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.
Other agents, from other repositories
td-brain-builder
Use when building or modifying TouchDesigner networks through TDPilot's BrainPlan and transaction tools.
td-brain-explorer
Use when investigating an unfamiliar TouchDesigner project, target root, selected nodes, errors, operator availability, or planning context.
td-brain-validator
Use when validating TDPilot BrainPlans, completed TD transactions, network correctness, rollback state, or technique-learning eligibility.
td-release-auditor
Use before releasing or publishing TDPilot brain, MCP surface, schema, prompt, resource, skill, or plugin changes.
ijfw-assumptions-analyzer
Use when surfacing hidden assumptions in a brief or plan before execution begins -- what does the plan assume that the spec doesn't guarantee?
cpp-build-resolver
C++ build, CMake, and compilation error resolution specialist. Fixes build errors, linker issues, and template errors with minimal changes. Use when C++ builds fail.