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-hda-automationgit 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-hda-automation)<a href="https://agentmods.dev/skills/dcc-mcp/dcc-mcp-houdini/houdini-hda-automation"><img src="https://agentmods.dev/badge/skills/dcc-mcp/dcc-mcp-houdini/houdini-hda-automation/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-hda-automation"><img src="https://agentmods.dev/badge/skills/dcc-mcp/dcc-mcp-houdini/houdini-hda-automation.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 | $0.00085 | $0.00861 |
| Opus 5 | $0.00043 | $0.00430 |
| Sonnet 5 | $0.00017 | $0.00172 |
| Haiku 4.5 | $0.00009 | $0.00086 |
Grade A, and why
houdini-hda-automation 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.
How it starts
The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
houdini-hda-automation
Typed automation tools for Houdini Digital Assets (HDA/OTL) and procedural
batch execution via PDG/TOP networks and ROP output-driver chains. Complements
houdini-hda (which installs/lists/executes/saves HDAs) with library scanning,
definition introspection, instantiation, validation, and graph-level cooking.
Tool groups
hda-query(read-only):scan_hda_libraries,inspect_hda_definition,validate_hda.hda-edit:instantiate_hda(async — creates and cooks a node).pdg-rop: asynccook_top_networkand self-managedexecute_rop_chain.
Context limitations
- Headless / no license: all tools degrade through structured
skill_errorenvelopes whenhouis unavailable; PDG/ROP cooking still requires a valid Houdini session. - Long runs:
instantiate_hda,validate_hda, andcook_top_networkuse core async jobs.execute_rop_chainuses synchronous dispatch metadata so it returns its adapter-owned isolated job identity directly; poll it throughhoudini_render__get_render_jobinstead of occupying the Houdini event loop. - PDG stats:
cook_top_networkreportswork_item_counton a best-effort basis viagetPDGGraphContext(); it may benullwhen the context is unavailable. - ROP dependencies:
execute_rop_chainhonours upstream ROP inputs by default in both foreground and isolated workers; passignore_inputs=trueto render only the named driver. UI and headless Houdini default to isolatedhython; passbackground=falseonly for intentional foreground execution. Interactive isolated launch requires a saved, clean HIP and never auto-saves the GUI scene. Headless isolation requires an existing HIP and captures its current state in a job-owned temporary snapshot without saving the source scene. A chain can complete without a discoverable output path when it has no execution/cook errors; inspectoutput_verificationto distinguish this from verified file output.
What ships with it
8 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.
- scripts/_hda_auto_common.py 2.9 KB runs code
- scripts/cook_top_network.py 2.0 KB runs code
- scripts/execute_rop_chain.py 3.8 KB runs code
- scripts/inspect_hda_definition.py 2.4 KB runs code
- scripts/instantiate_hda.py 3.0 KB runs code
- scripts/scan_hda_libraries.py 1.4 KB runs code
- scripts/validate_hda.py 1.5 KB runs code
- tools.yaml 4.6 KB
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 · 69 lines · 85 tokens per session scan A d5a34aaafa31
houdini-hda-automation is a skill published in the GitHub repository dcc-mcp/dcc-mcp-houdini (12 stars, last pushed yesterday), licensed MIT. It adds 85 tokens to every session and 861 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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