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-gsplat-relightinggit 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-gsplat-relighting)<a href="https://agentmods.dev/skills/dcc-mcp/dcc-mcp-houdini/houdini-gsplat-relighting"><img src="https://agentmods.dev/badge/skills/dcc-mcp/dcc-mcp-houdini/houdini-gsplat-relighting/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-gsplat-relighting"><img src="https://agentmods.dev/badge/skills/dcc-mcp/dcc-mcp-houdini/houdini-gsplat-relighting.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 | $0.00075 | $0.01406 |
| Opus 5 | $0.00037 | $0.00703 |
| Sonnet 5 | $0.00015 | $0.00281 |
| Haiku 4.5 | $0.00007 | $0.00141 |
Grade A, and why
houdini-gsplat-relighting 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 — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Gaussian Splat relighting
Use the typed tools in this package for the cross-context handoff:
- Inspect the SOP output and confirm point attributes and provenance before
changing it. The preflight recognizes Houdini-native GSplats and standard
3DGS PLY exports (
f_dc*,rot*,scale*,opacity, andf_rest*). A public reconstruction showcase requires splats trained from at least three views of the same subject with solved camera poses. It also requires a typed camera-pose source and validation state when the capture uses a calibrated or estimated turntable. Estimated turntable poses remain blocked from public showcase use until optimizer or reprojection validation passes. It requires complete subject coverage and held-out evaluation over at least eight views with PSNR >= 25, SSIM >= 0.8, and LPIPS <= 0.2. These are publication gates, not guarantees that anatomy or identity is correct. Anatomy fidelity is a separate mandatory public-showcase gate: all evaluated regions from the fixed 12-region checklist must pass, silhouette IoU must be >= 0.90, normalized landmark error <= 0.03, thin-structure recall >= 0.85, and at least three novel views must be evaluated. - Prepare it with Houdini
Bake GSplatswhen normalization is required, then LabsNormals from GSplatsand/orDelight GSplats. Keep spherical harmonics enabled when the source providesf_rest*coefficients. - In Solaris, use
Relight GSplatswith USD lights, a render camera, shadows, shadow bias, and optional dome/HDRI lighting. Usehoudini-parametersfor version-specific Labs parameters that are not exposed by the setup tool. - In Copernicus, import the prepared or relit SOP result and use
Rasterize GSplatswith camera metadata. The setup tool can append Sharpen, HSV, Gamma, and Premult nodes and set the H22 network resolution; use parameter skills for further interactive tuning.
The expected handoff attributes are P, Cd or albedo, N, orient,
scale/pscale, opacity, and optional GS_SPH_R/G/B plus ao. The setup
tools resolve Labs node type aliases at runtime because Labs asset namespaces
vary between Houdini 22 builds.
Procedural meshes sampled into points are synthetic point clouds, not captured Gaussian Splat reconstructions. They may test relighting mechanics, but must not be presented as reconstruction evidence or public GSplat showcase input.
The fixed anatomy checklist covers the head capsule, compound eyes, antennae,
mouthparts, thorax, abdomen, forewings, hindwings, forelegs, middle legs, and
hind legs, plus tarsi/claws as an independent region across all six legs.
anatomy_region_count may include additional documented regions,
but anatomy_regions_passed must equal the total evaluated count. The bounded
public inputs accept at most 64 regions and 64 novel views; normalized metrics
must be finite values in [0, 1].
What ships with it
7 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.
- README.md 2.7 KB
- scripts/create_gsplat_copernicus_raster.py 312 B runs code
- scripts/create_gsplat_relight_lop.py 294 B runs code
- scripts/gsplat_relighting.py 34 KB runs code
- scripts/inspect_gsplat_relighting_input.py 308 B runs code
- scripts/prepare_gsplat_sop_chain.py 289 B runs code
- tools.yaml 11 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 · 112 lines · 75 tokens per session scan A 6c15fa932869
houdini-gsplat-relighting is a skill published in the GitHub repository dcc-mcp/dcc-mcp-houdini (12 stars, last pushed 2d ago), licensed MIT. It adds 75 tokens to every session and 1,406 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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