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.
npx skills add dcc-mcp/dcc-mcp-houdini --skill houdini-export-presetgit clone --depth 1 https://github.com/dcc-mcp/dcc-mcp-houdiniWrote 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/dcc-mcp/dcc-mcp-houdini/houdini-export-preset)<a href="https://agentmods.dev/skills/dcc-mcp/dcc-mcp-houdini/houdini-export-preset"><img src="https://agentmods.dev/badge/skills/dcc-mcp/dcc-mcp-houdini/houdini-export-preset/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/dcc-mcp/dcc-mcp-houdini/houdini-export-preset"><img src="https://agentmods.dev/badge/skills/dcc-mcp/dcc-mcp-houdini/houdini-export-preset.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 | $0.00076 | $0.01051 |
| Opus 5 | $0.00038 | $0.00526 |
| Sonnet 5 | $0.00015 | $0.00210 |
| Haiku 4.5 | $0.00008 | $0.00105 |
Grade A, and why
houdini-export-preset 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 12d 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
houdini-export-preset
JSON-backed export preset management for Houdini ROP networks. Sits next to
houdini-interchange so an agent can:
save_export_presetto persist a ROP node's export configuration as JSONload_export_presetto retrieve a saved preset (optionally create a ROP node from it)list_export_presets/delete_export_presetfor library management
Tool groups
export-presets:save_export_preset,load_export_preset,list_export_presets,delete_export_preset— JSON files under a user-suppliedlibrary_dir(defaults to~/.dcc-mcp/houdini/export_presets/, override withDCC_MCP_HOUDINI_EXPORT_PRESET_DIR).
Supported ROP types
| Format | ROP node type | Typical output |
|---|---|---|
| alembic | rop_alembic |
.abc |
| fbx | rop_fbx |
.fbx |
| usd | usdrender / usd_rop |
.usd / .usda / .usdc |
| geometry | geometry |
.bgeo / .geo / .obj |
| ifd | ifd |
.ifd (Mantra) |
| opengl | opengl |
.png / .jpg (viewport) |
| redshift | Redshift_ROP |
.exr (Redshift) |
| karma | karma |
.exr (Karma) |
Context limitations
- Presets store the ROP node's parameters (what), not the SOP/LOP network that feeds it (how). A preset is transferable across scenes as long as a node with the matching source path exists.
load_export_presetwithcreate_rop: truecreates a ROP node inside/out(or the specifiedrop_parent_path) and wires it to the source node recorded in the preset whenconnect_source: true.
Tracer-bullet flow
houdini_interchange__export_alembic(node_path="/obj/geo1", output_path="/tmp/test.abc")save_export_preset(rop_node_path="/out/alembic1", preset_name="character_alembic")list_export_presets()→ find available presetsload_export_preset(preset_name="character_alembic", create_rop=True, source_node_path="/obj/geo2")→ recreate ROP for a different object
What ships with it
6 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.
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.
- 12d ago First seen · 90 lines · 76 tokens per session scan A d3c887cd835f
houdini-export-preset is a skill published in the GitHub repository dcc-mcp/dcc-mcp-houdini (12 stars, last pushed yesterday), licensed MIT. It adds 76 tokens to every session and 1,051 once invoked, about $0.0004 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.
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