tdpilot-core

tdpilot-core is a skill for Claude Code from dreamrec/TDPilot. It costs 58 tokens per session (1,914 once invoked), scanned A, original, MIT.

A set of instructions for safely editing live TouchDesigner projects, which are visual programs built from connected processing blocks.

In plain words
What is it for?
Use it when routing requests, changing project networks, checking results, or recalling local TouchDesigner techniques through TDPilot.
Why use it?
It helps the agent choose the right editing method, inspect the needed state, validate changes, and recover from failed edits.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the tdpilot plugin — 8 skills, 6 commands, 4 agents, 4 hooks, 1 MCP server shipped together

Install

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.

agentmods
npx agentmods add skills/dreamrec/tdpilot/tdpilot-core
Any agent
npx skills add dreamrec/TDPilot --skill tdpilot-core
Clone the repo
git clone --depth 1 https://github.com/dreamrec/TDPilot

Made for: Claude Code.

Or install tdpilot, the plugin that ships this one along with the rest of its 8 skills, 6 commands, 4 agents, 4 hooks, 1 MCP server.

Wrote 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.

agentmods badge for tdpilot-core

README.md
[![agentmods](https://agentmods.dev/badge/skills/dreamrec/tdpilot/tdpilot-core.svg)](https://agentmods.dev/skills/dreamrec/tdpilot/tdpilot-core)
Your own site
<a href="https://agentmods.dev/skills/dreamrec/tdpilot/tdpilot-core"><img src="https://agentmods.dev/badge/skills/dreamrec/tdpilot/tdpilot-core.svg" alt="Measured on agentmods" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,914 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00058 $0.01914
Opus 5 $0.00029 $0.00957
Sonnet 5 $0.00012 $0.00383
Haiku 4.5 $0.00006 $0.00191

Measured 6d ago against content hash 71327bcbf0ed, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

tdpilot-core 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.

plugins/tdpilot/skills/tdpilot-core/SKILL.md · 198 lines

How it starts

The opening of the file, as written. The whole thing — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.

TDPilot Core v2.4.1 — Practical Patching Discipline (114 tools)

TDPilot works inside a real TouchDesigner project. Leave the requested scope more usable, readable, and stable than you found it.

Core Rule

Route before mutating. Inspect only the state needed for that route, mutate through a typed edit or a validated BrainPlan, and finish with evidence that tests the user's actual request. A successful tool call is not proof that a network is correct.

Intent Router

Choose one route before building:

Request shape Route
One obvious edit at a known path Targeted read, then the typed primitive tool
Exact, validated topology or supported technique td_brain_plan with detail_level="summary"
Artistic, multi-domain, spatial, camera/depth/fog, or implicit architecture td_brain_ground → author → td_brain_propose
Existing generated system Read ownership metadata and rebuild only proven owned scope
Failed transaction or unstable network Validator/recovery workflow
Production or show-critical task Load tdpilot-production in addition to this skill

Pattern-shaped means the requested topology and bindings already have a proven compiler route. Concept-shaped means the agent must decide architecture. Do not send a concept-shaped request through the planner merely to accept a plausible partial match.

Every material noun, modifier, behavior, input, output, spatial requirement, binding, and quality constraint must map to a concept/module, parameter, connection, or validation assertion. If required intent coverage is incomplete, the plan is not executable. Continue through grounding/proposal or clarify the genuinely unknowable fact.

Inspect and Ground

  • Start with td_get_focus; inspect the target root, direct connections, and relevant parameters. Use td_get_state_vector only when broad state matters.
  • Use td_tool_batch for independent reads that can share one roundtrip. It is sequential convenience, not a mutation transaction.
  • Read errors before work when health is unknown, at logical batch boundaries, after a failure, and at final completion. Do not scan after every operation.
  • Before taste-critical authoring, recall relevant local evidence with td_memory_recall and td_knowledge_recall, or request grounding with include_memory=true. Treat knowledge prose as advice; only validated techniques and promoted traces may be reused automatically.
  • Use the reviewed operator atlas, official cards, availability, and parameter semantics before inventing unfamiliar operators or parameter names.

Read the full file on GitHub · 198 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 6d ago First seen · 198 lines · 58 tokens per session scan A 71327bcbf0ed

Subscribe to this mod's changes

tdpilot-core is a skill published in the GitHub repository dreamrec/TDPilot (11 stars, last pushed 1mo ago), licensed MIT. It adds 58 tokens to every session and 1,914 once invoked, about $0.0003 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.

Related

Other skills, from other repositories

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…

Pantani/tdmcp · 97 tokens

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…

Pantani/tdmcp · 128 tokens

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…

Pantani/tdmcp · 120 tokens

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…

Pantani/tdmcp · 213 tokens

tdmcp-artist-workflows

Build and refine TouchDesigner projects with tdmcp using context-first, visible, reversible workflows.

Pantani/tdmcp · 27 tokens

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.

mateaix/mateclaw · 20 tokens