Borrowing it
Nothing to install: this file belongs to dreamrec/TDPilot. 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/dreamrec/TDPilot/main/.agents/skills/tdpilot-brain-explorer/SKILL.mdgit clone --depth 1 https://github.com/dreamrec/TDPilotWrote 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/dreamrec/tdpilot/tdpilot-brain-explorer)<a href="https://agentmods.dev/skills/dreamrec/tdpilot/tdpilot-brain-explorer"><img src="https://agentmods.dev/badge/skills/dreamrec/tdpilot/tdpilot-brain-explorer/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/skills/dreamrec/tdpilot/tdpilot-brain-explorer"><img src="https://agentmods.dev/badge/skills/dreamrec/tdpilot/tdpilot-brain-explorer.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 | $0.00031 | $0.00495 |
| Opus 5 | $0.00015 | $0.00247 |
| Sonnet 5 | $0.00006 | $0.00099 |
| Haiku 4.5 | $0.00003 | $0.00049 |
Grade A, and why
tdpilot-brain-explorer 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.
How it starts
The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TDPilot Brain Explorer
Use this skill before build, debug, validation, or recovery work when the live TouchDesigner state is not already clear.
Core Rule
Stay read-only. Exploration produces facts and constraints, not edits.
Discovery Path
-
Locate context:
td_get_focustd_get_state_vectortd_get_nodeson the likely roottd_get_connectionsfor candidate outputs
-
Check health:
td_get_errorswith recursion on the target roottd_cooking_infofor cook/performance signaltd_list_familieswhen operator availability matters
-
Gather grounding evidence:
td_get_node_detail(include_hints=true)for high-risk operatorstd_get_hints(topic=..., surface="inspect")- DocsBrain/operator cards for unfamiliar operator or parameter choices
td_memory_recallfor similar validated techniques
-
Return an exploration brief:
- target root and likely output TOP/CHOP/COMP
- existing structure and naming constraints
- relevant errors/warnings
- available operator families
- docs/hints/memory evidence
- whether
td_brain_planhas enough facts or needs user clarification
Stop Conditions
Stop and ask or inspect more when:
- The active network pane and requested target root disagree.
- Multiple plausible output nodes exist.
- Required operators are unavailable.
- Existing errors could make validation misleading.
- A requested visual payload would be large and the user has not approved it.
Pressure Scenarios
- Pressure: The user asks to build immediately in an unfamiliar project. Stay read-only and return enough state for
td_brain_planinstead of mutating. - Pressure: Focus, selected nodes, and the requested root point to different places. Report the ambiguity and gather one more concrete fact before planning.
Common Mistakes
- Treating memory recall or hints as live-state evidence.
- Inspecting only screenshots while ignoring TD errors, cook health, and operator families.
- Returning a build recommendation without naming the target root, output candidate, and blocking uncertainty.
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 · 64 lines · 31 tokens per session scan A fcd9d2760665
tdpilot-brain-explorer is a skill published in the GitHub repository dreamrec/TDPilot (11 stars, last pushed 1mo ago), licensed MIT. It adds 31 tokens to every session and 495 once invoked, about $0.0002 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 2026-08-31.
Other skills, from other repositories
tdmcp-pipeline
Orchestrates the tdmcp feature team end-to-end: design/wireframe → build → integrate → QA → release. Use whenever the user wants to build, implement, develop, ship, or add one or more tdmcp features/tools/effects/controls/AI-prompts for TouchDesigner, or to run them through a coordinated design→develop→QA→deploy…
td-trend-scout
Scout ONE external surface of the TouchDesigner community for what's HYPED in 2025-2026 that could become a tdmcp tool. Use when a td-trend-scout sub-agent is assigned a surface (community-showcase, tutorials, generative-ai, hardware-interactive, or vfx-aesthetics) during the tdmcp-hype-scout harness — produces…
tdmcp-raytk-integration
Plan and implement native RayTK (t3kt/raytk) raymarching/SDF toolkit integration into tdmcp — beyond the existing package-manager staging, into AI-driven RayTK operator (ROP) node graphs. Use whenever the user wants to build, plan, design, implement, continue, fix, QA, or ship RayTK support: create/wire RayTK ROPs, a…
tdmcp-kinect-wall-harp
Orchestrates the dedicated Kinect wall harp implementation team. Use whenever the user asks to build, implement, continue, fix, QA, document, or ship the Kinect wall harp, Kinect v2 wall-depth harp, FreenectTD depth-blob hand tracking, projected wall strings, pluck synth harp, or this feature's Layer 1…
tdmcp-artist-workflows
Build and refine TouchDesigner projects with tdmcp using context-first, visible, reversible workflows.
p5js
Use when users request: p5.js sketches, creative coding, generative art, interactive visualizations, canvas animations, browser-based visual art, data viz, shader effects, or any p5.js project.