another-houdini-mcp: Instructions file for Codex

AGENTS.md

another-houdini-mcp AGENTS.md is an instructions file for Codex, OpenCode from lecopivo/another-houdini-mcp. It costs 1,052 tokens per session, scanned A, original, MIT.

Project instructions for another-houdini-mcp, a tool that lets an agent work with Houdini, software for making 3D scenes and procedural effects. It covers inspecting scenes, editing node graphs, running scripts, and validating results.

In plain words
What is it for?
Use it to inspect scene structure and node connections, create or edit nodes and parameters, load example assets, run Houdini Python or HScript, and build validation checks.
Why use it?
It gives an agent the project-specific rules and available operations needed to work safely with Houdini scenes and Houdini Digital Assets, which are reusable scene components.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions AGENTS.md.

This is lecopivo/another-houdini-mcp's own configuration. It tells Codex and OpenCode how to work on another-houdini-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything another-houdini-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to lecopivo/another-houdini-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/lecopivo/another-houdini-mcp/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/lecopivo/another-houdini-mcp

Made for: Codex, OpenCode.

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Per session 1,052 This file is loaded in full into every session.
When invoked 1,052 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.01052 $0.01052
Opus 5 $0.00526 $0.00526
Sonnet 5 $0.00210 $0.00210
Haiku 4.5 $0.00105 $0.00105

Measured 9d ago against content hash c369808febbd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

another-houdini-mcp AGENTS.md 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.

AGENTS.md · 92 lines

How it starts

The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

What This MCP Does

This project provides a Houdini MCP server and plugin that let an agent inspect, build, edit, and validate Houdini scenes and HDAs programmatically.

You can use it to:

  • Explore scene structure and node connections
  • Create/delete/connect nodes
  • Read/set node parameters
  • Execute HScript or Python (HOM) when needed
  • Inspect local Houdini documentation in help/
  • Build validation workflows around geometry and node behavior

Tools Available

Scene and Node Exploration

  • get_folder_info
  • get_node_info
  • get_node_presentation
  • get_node_connections
  • get_scene_info
  • get_sticky_notes

Node Graph Editing

  • create_node
  • delete_node
  • connect_nodes
  • remove_connection
  • set_parameter

Example and HDA Loading

  • install_hda_file
  • list_example_nodes
  • instantiate_example_asset
  • load_example
  • instantiate_hda

Node and Parameter Discovery

  • list_node_categories
  • list_node_types
  • get_parameter_info
  • get_node_parameters
  • get_parameter_overrides
  • get_node_documentation

Python/HScript Execution

  • execute_python
  • execute_hscript

HOM (Python API) Documentation

  • list_python_commands
  • search_python_documentation
  • get_python_documentation

Local Documentation File Tools (help/)

  • search_documentation_files
  • read_documentation_file

Documentation Expectations

  • Before implementing or changing behavior, look up relevant docs.
  • Use documentation tools first, then fallback to ad-hoc scripts.
  • The project documentation corpus is in help/.

Tutorials Expectations

  • Review memory/index.md first to refresh workflow memory.
  • Use relevant files in memory/ before inventing a new approach.
  • When working in a specific context (for example SOP), refresh context memory first by reading memory/<context>_context.md (for example memory/sop_context.md).
  • When working on a specific node, refresh node memory first by reading memory/nodes/<context>/<node>.md if it exists.
  • Treat memory/<context>_context.md and memory/nodes/<context>/<node>.md as extended documentation, not activity logs.
  • memory/<context>_context.md should contain generalized context-level rules, patterns, heuristics, pitfalls, and cross-node workflows.
  • memory/nodes/<context>/<node>.md should contain reusable node-level guidance: intent, setup contracts, parameter interactions, debug tactics, and production usage notes.
  • Node-note format should follow memory/node_study_template.md and mirror the richer reference style of memory/nodes/sop/heightfield_erode-2.0.md (Intent, Core Behavior, Key Parameters, Typical Workflow, Production Usage with measured outcomes, Gotchas, Companion Nodes, Study Validation).
  • Do not record raw chronological "what I clicked/did" logs in these files; abstract concrete experiences into general lessons.
  • If an experiment reveals a failure mode, record the transferable rule (why it failed, how to detect, how to fix), not scene-specific narration.
  • Keep session chronology and restart checkpoints in short_term_memory.md only.
  • When reviewing an example scene for a target node, inspect all meaningful companion nodes in that example network (not just the target node) and capture reusable patterns in memory notes.
  • If companion-node findings are strong enough, add or update their own memory/nodes/<context>/<node>.md files even if they were not the primary study target.
  • Do not defer companion-node note updates: while studying one node, proactively edit other node memory notes in the same session when you discover meaningful behavior, patterns, parameters, or edge cases.
  • If you struggle with something and then finally solve it, suggest updating the appropriate tutorial in memory/ with that lesson.

Read the full file on GitHub · 92 lines

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. 9d ago First seen · 92 lines · 1,052 tokens per session scan A c369808febbd

Subscribe to this mod's changes

another-houdini-mcp AGENTS.md is an instructions file published in the GitHub repository lecopivo/another-houdini-mcp (5 stars, last pushed 5mo ago), licensed MIT. It adds 1,052 tokens to every session, about $0.0053 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.

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