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-blender --skill blender-rendergit clone --depth 1 https://github.com/dcc-mcp/dcc-mcp-blenderWrote 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-blender/blender-render)<a href="https://agentmods.dev/skills/dcc-mcp/dcc-mcp-blender/blender-render"><img src="https://agentmods.dev/badge/skills/dcc-mcp/dcc-mcp-blender/blender-render/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-blender/blender-render"><img src="https://agentmods.dev/badge/skills/dcc-mcp/dcc-mcp-blender/blender-render.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 | $0.00024 | $0.03574 |
| Opus 5.5 | $0.00010 | $0.01430 |
| Sonnet 5.5 | $0.00005 | $0.00715 |
| Haiku 4.5 | $0.00002 | $0.00357 |
Grade A, and why
blender-render 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 2d 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 — 263 lines — stays where its author put it; the contents beside it link to each section on GitHub.
blender-render
Use render_scene for short stills. Use start_render_job for animation or
multi-layer EXR or display-ready PNG / JPEG / TIFF / BMP output so the
interactive Blender process remains responsive; poll with get_render_job and
cancel only through the returned job id.
start_render_job accepts the output containers
OPEN_EXR_MULTILAYER, OPEN_EXR, PNG, JPEG, TIFF, BMP. Omit
output_format to reuse the scene's render.image_settings.file_format. A
scene set to any other container is rejected before any frame renders
rather than silently falling back to EXR — call set_render_settings or
set_render_output to change it and resubmit.
Animation PNG resume/progress checks validate chunk CRCs, a complete zlib
stream, and the filtered scanline layout (including Adam7), without calling
bpy from status-query threads. They do not reconstruct pixels, validate all
ancillary metadata, or establish visual quality. PNG files or inflated image
data above 1 GiB, more than 1,000,000 total scanlines across all Adam7 passes,
APNG, and unknown critical chunks fail closed. Each poll
rechecks each job frame once, with bounded memory but work proportional to
compressed and inflated image bytes; avoid tight polling of long/high-resolution
sequences. A tracked PNG frame that becomes invalid after completion makes the
job failed on its next query. Frames skipped at submission are not subsequently
tracked by that job.
Other animation formats still use signature-only checks, which do not prove completeness. Independently decode EXR/JPEG/TIFF/BMP deliverables before trusting them; integrity support for those formats remains open in issue #315.
Use start_multiview_render_job for a bounded camera list (up to 8) and
beauty/wire PNG deliverables. It saves an isolated copy of the current
scene without changing the live filename, selection, materials, or settings.
The worker uses factory startup with automatic scripts disabled. External
assets must remain accessible; add-on-generated render dependencies are not
loaded. Beauty uses the saved render engine (Cycles uses CPU) but bypasses compositor and
sequencer to contain file output. Resolution is explicit and border rendering
is disabled. Cameras render the current saved frame; camera animation markers
are not used to select views.
Wire shows original mesh edges as physical tubes over the same unmodified mesh surfaces. Modifiers and shape keys are disabled, non-mesh geometry is omitted, and hidden render objects remain hidden. This is source topology, not evaluated modifier topology or a screen-space overlay. Radius is in local object units and scales with the object. The wire pass uses Cycles CPU. Requests exceeding the explicit max_source_edges budget (default 100,000; maximum 500,000) are rejected. Each PNG is decoded by Blender, dimension checked, and hashed; status reads verify the entire file hash. Failed images retain individual errors and do not make the batch successful.
What ships with it
18 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/cancel_render_job.py 231 B runs code
- scripts/capture_viewport.py 8.5 KB runs code
- scripts/clear_render_region.py 436 B runs code
- scripts/get_render_info.py 1.9 KB runs code
- scripts/get_render_job.py 224 B runs code
- scripts/get_render_output.py 431 B runs code
- scripts/get_render_status.py 430 B runs code
- scripts/get_view_layer_passes.py 443 B runs code
- scripts/render_scene.py 1.4 KB runs code
- scripts/set_render_denoise.py 426 B runs code
- scripts/set_render_output.py 447 B runs code
- scripts/set_render_region.py 422 B runs code
- scripts/set_render_settings.py 5.3 KB runs code
- scripts/set_view_layer_passes.py 439 B runs code
- scripts/start_multiview_render_job.py 269 B runs code
- scripts/start_render_job.py 238 B runs code
- scripts/start_saved_scene_job.py 276 B runs code
- tools.yaml 20 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.
- 2d ago Changed · +34 lines f164e77b2a6d
- 3d ago Changed · +42 lines d3c19bfdb2d6
- 4d ago Changed · +16 lines ef8683cc9b7a
- 9d ago Changed · +12 lines 0b2149bf2324
- 11d ago Changed · +18 lines c3cd77a6ce93
- 23d ago Changed · +7 lines 8e88f5a8738b
- 29d ago Changed · +30 lines 00263029c77e
- 1mo ago Changed · +33 lines 14f540f6167d
- 1mo ago Changed · +2 lines 77a1e8460305
- 1mo ago First seen · 69 lines · 24 tokens per session scan A a666d4fe7d62
blender-render is a skill published in the GitHub repository dcc-mcp/dcc-mcp-blender (50 stars, last pushed yesterday), licensed MIT. It adds 24 tokens to every session and 3,574 once invoked, about $0.0001 per session on Opus 5.5. 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.
Other skills, from other repositories
blender-reference-modeling
Build, compare, review, or repair a Blender model against an actual supplied image, photograph, concept, or visual reference using adaptive decomposition, measurable proportions, evidence scoring, and bounded repair. Use only when the request explicitly concerns model creation or quality against visual form criteria…
blender-retopology
Improve Meshy, Tripo or other existing Blender meshes with deliberate editable topology, source-preserving cleanup, reduction, remeshing or reference-derived reconstruction, followed by geometry and appearance checks. Use for dense generated meshes, human-style edge flow, hard-surface rebuilding or character…
blender-bridge
Operate Blender Agent Bridge through its stable five-tool MCP gateway for scene inspection, modeling, materials, rigging, animation, simulation, rendering, external assets, trusted scripts, and preview decisions. Use whenever an agent must work in a live Blender scene through Blender Bridge, especially when only…
blender-asset-validation
Inspect and validate Blender assets technically and visually. Use for .blend, .glb, .gltf, .fbx, or .obj quality checks; topology and export review; evaluated triangle/material/hierarchy metrics; standardized multiview renders; fresh-import verification; or evidence-backed review of an agent-generated mesh.
blender-modeling-workflow
Build or substantially refine reproducible Blender models through Python and the Blender CLI. Use for user requests to create meshes, props, hard-surface assets, stylized objects, assemblies, procedural geometry, game-ready GLB assets, or to iterate on a scripted Blender model from visual feedback.
dcc-cua
A routing guide for controlling application interfaces through the project’s DCC-CUA system. DCC applications are digital-content tools such as Maya, Blender, and Houdini.