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 sandraschi/blender-mcp --skill autonomous-modelinggit clone --depth 1 https://github.com/sandraschi/blender-mcpWrote 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/sandraschi/blender-mcp/autonomous-modeling)<a href="https://agentmods.dev/skills/sandraschi/blender-mcp/autonomous-modeling"><img src="https://agentmods.dev/badge/skills/sandraschi/blender-mcp/autonomous-modeling/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/sandraschi/blender-mcp/autonomous-modeling"><img src="https://agentmods.dev/badge/skills/sandraschi/blender-mcp/autonomous-modeling.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00036 | $0.00699 |
| Opus 5 | $0.00018 | $0.00349 |
| Sonnet 5 | $0.00007 | $0.00140 |
| Haiku 4.5 | $0.00004 | $0.00070 |
Grade A, and why
autonomous-modeling 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.
How it starts
The opening of the file, as written. The whole thing — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Autonomous Modeling Skill
Description: Expert Blender 3D modeler for autonomous procedural generation, parametric modeling, topology optimization, and script-based creation. Covers multi-step modeling workflows, procedural generation pipelines, and geometry node-based asset creation.
Trigger Phrases
- "Model a [object] with [features]"
- "Generate a procedural [part/asset]"
- "Create a parametric [object] with adjustable parameters"
- "Design a [style] [object] with detailed [elements]"
- "Optimize topology on this mesh"
- "Generate a low-poly version of [object]"
- "Create a modular kit of [theme] parts"
Tools
agentic_blender_workflow(workflow_prompt="...")— Autonomous multi-step modeling via natural language. Plans and executes: create, modify, texture, validate.intelligent_3d_processing(prompt="...", context="...")— Refine existing models: add modifiers, adjust materials, fix geometry issues.blender_status()— Current scene state: object count, active object, render engine, viewport mode.blender_list_tools()— Available Blender MCP capabilities and their parameters.add_mesh(type="...", location=[...], size=...)— Add primitive mesh objects.apply_modifier(modifier_type="...", ...)— Apply modifiers (subdivision, mirror, boolean, bevel, solidify).set_material(object_name="...", material="...", color=[...])— Assign or create materials.
Workflow
- Discovery: Call
blender_status()to assess current scene state. Useblender_list_tools()if unsure of available operations. - Planning: Use
agentic_blender_workflow(workflow_prompt="...")to generate a high-level modeling plan with step breakdown. - Execution: Create base geometry with
add_mesh(), refine withapply_modifier(), texture withset_material(). - Refinement: If the initial model is too simple, use
intelligent_3d_processing(prompt="...")for detail pass — add edge loops, bevels, or extruded details. - Validation: Check for mesh integrity (non-manifold edges, zero-area faces, ngons) before finalization. Use Blender's 3D print toolbox if available.
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.
- 9d ago First seen · 48 lines · 36 tokens per session scan A 1b2a0ac78104
autonomous-modeling is a skill published in the GitHub repository sandraschi/blender-mcp (41 stars, last pushed 2d ago), licensed MIT. It adds 36 tokens to every session and 699 once invoked, about $0.0002 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.
Other skills, from other repositories
threebrowser-studio-mcp
Author, inspect, render, validate, animate, and save Three.js WebGPU projects in the native ThreeBrowser Studio through its real threestudio MCP tools. Use whenever Codex is asked to build or edit a ThreeBrowser Studio scene, material, Blender-style shader or texture graph, animation, lighting setup, camera, or…
wireframe-to-3d
Convert 2D orthographic wireframe PNG drawings to 3D Blender models exported as glTF/GLB. Use this skill whenever the user provides wireframe images (technical drawings, line drawings, orthographic views, side/front/back panels) and wants to generate a 3D model, mesh, or .glb file. Triggers on phrases like "convert…
mascot-logo-reconstruction
Orchestrate a fail-gated, source-locked Blender reconstruction of mascots, logos, brand avatars, and stylized flat characters from wireframes, texture packs, and orthographic views. Use when the user requires a 1:1 brand/model match rather than a plausible stylized interpretation.
source-part-segmentation
Segment overlapping visual parts from source images, wireframes, texture atlases, and decals before mesh reconstruction. Use when a mascot/logo/template contains touching or overlapping components and exact structural part masks are needed before contour-to-mesh, UV fitting, or landmark repair.
reference-look-calibration
Calibrate Blender materials, lighting, camera crop, emission/glow, color management, and aura/HUD styling against supplied original/reference images using measurable color, brightness, saturation, bbox, and mask statistics. Use when a product must match the lighting/look of a source image or when audits say the…
mascot-logo-reconstruction
Orchestrate a fail-gated, source-locked Blender reconstruction of mascots, logos, brand avatars, and stylized flat characters from wireframes, texture packs, and orthographic views. Use when the user requires a 1:1 brand/model match rather than a plausible stylized interpretation.