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 RobLe3/cc-blender-skill --skill text-to-blendergit clone --depth 1 https://github.com/RobLe3/cc-blender-skillWrote 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/roble3/cc-blender-skill/text-to-blender)<a href="https://agentmods.dev/skills/roble3/cc-blender-skill/text-to-blender"><img src="https://agentmods.dev/badge/skills/roble3/cc-blender-skill/text-to-blender/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/roble3/cc-blender-skill/text-to-blender"><img src="https://agentmods.dev/badge/skills/roble3/cc-blender-skill/text-to-blender.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
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 | $0.00248 | $0.04418 |
| Opus 5 | $0.00124 | $0.02209 |
| Sonnet 5 | $0.00050 | $0.00884 |
| Haiku 4.5 | $0.00025 | $0.00442 |
Grade A, and why
text-to-blender 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 10d 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 — 258 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Text-to-Blender Orchestrator
Turn plain-English requests into Blender work. You are the conductor: read the request, decide which sub-skills to chain-load, sequence them in the right order, and execute via the Blender MCP.
Multi-skill harmonization
For complex tasks that trigger multiple Blender skills, especially reference/template/brand work, load blender-skill-harmonizer before choosing the execution order. It owns precedence, handoff artifacts, and conflict policy.
If the user rejects an output as sub-par, says the same issue is recurring, or asks to improve the skill stack before retrying, load quality-refinement-autoloop before further product work. It turns evidence into a sanitized reusable lesson, patches generic skills/docs/versioning when explicitly requested, and only then resumes the Blender repair loop.
How this skill works
The user speaks in tasks ("render a hero shot of a sword on a stone"); you:
- Identify intent → which capabilities are needed (modeling? materials? lighting? rendering? export?).
- Check prerequisites → MCP server reachable, scene state.
- Reset world to a known-good baseline (see World reset below) — prevents leftover broken HDRI / Environment Texture nodes from previous runs corrupting the render.
- Look up real-world dimensions for the subject (
references/common-object-dimensions.md) BEFORE generating Python. A "sword" has specific proportions; a "chair" has specific proportions; do not guess. - Route to sub-skills → load the relevant ones via
Readand follow their instructions. - Sequence the work in the order pros use (see
references/assembly-order.md). - Execute generated Python via
mcp__blender__execute_blender_code. - Validate with
mcp__blender__get_scene_info,get_object_info, ANDget_viewport_screenshot— see Visual validation checkpoint below. Numerical validation alone is not enough: the API can report success while geometry is grossly wrong. - Iterate — if the visual check shows an obvious problem (subject barely visible, wrong proportions, wrong orientation), fix and re-render BEFORE reporting success.
- Report to the user with concrete numbers AND a path to the proof render they can inspect.
What ships with it
36 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.
- assets/v0.4.0-validation/README.md 1.5 KB
- assets/v0.4.0-validation/test1-modeling-materials-lighting-render.webp 7.2 KB
- assets/v0.4.0-validation/test2-glass-cycles.webp 13 KB
- assets/v0.4.0-validation/test3-anim-frame001.webp 3.0 KB
- assets/v0.4.0-validation/test3-anim-frame048.webp 3.0 KB
- assets/v0.4.0-validation/test3-anim-frame096.webp 3.0 KB
- assets/v0.6.0-round2-validation/M_sword_attempt1_broken_world.webp 4.8 KB
- assets/v0.6.0-round2-validation/M_sword_attempt2_clean_world.webp 6.4 KB
- assets/v0.6.0-round2-validation/M_sword_attempt3_aimed_lights.webp 8.1 KB
- assets/v0.6.0-round2-validation/M_sword_attempt4_correct_dimensions_wrong_orientation.webp 3.2 KB
- assets/v0.6.0-round2-validation/M_sword_attempt5_rotated_no_taper.webp 3.3 KB
- assets/v0.6.0-round2-validation/M_sword_attempt6_with_pointed_tip.webp 3.7 KB
- assets/v0.6.0-round2-validation/M_sword_FINAL_v0.6.0.webp 4.2 KB
- assets/v0.6.0-round2-validation/README.md 2.8 KB
- assets/v0.7.0-bottle-validation/bottle_FINAL_v0.7.0.webp 8.7 KB
- assets/v0.7.0-bottle-validation/bottle_first_try.webp 8.4 KB
- assets/v0.7.0-bottle-validation/README.md 2.4 KB
- assets/v0.8.0-chair-validation/chair_attempt1_simple_rectangles.webp 18 KB
- assets/v0.8.0-chair-validation/chair_attempt2_overcooked_wood.webp 26 KB
- assets/v0.8.0-chair-validation/chair_attempt3_balanced_wood.webp 14 KB
- assets/v0.8.0-chair-validation/chair_FINAL_v0.8.0.webp 17 KB
- assets/v0.8.0-chair-validation/README.md 3.7 KB
- assets/v0.9.0-validation/01_bottle_glass_class_lighting.webp 7.9 KB
- assets/v0.9.0-validation/02_bottle_proper_wine_density.webp 8.5 KB
- assets/v0.9.0-validation/03_aviator_wireframe_to_3d.webp 6.3 KB
- assets/v0.9.0-validation/04_aviator_chained_upgrade.webp 13 KB
- assets/v0.9.0-validation/05_aviator_proper_rayban_dimensions.webp 12 KB
- assets/v1.1.0-validation/desk_lamp_emission.webp 7.9 KB
- assets/v1.2.0-validation/01_broadcaster_too_bright.webp 9.2 KB
- assets/v1.2.0-validation/02_broadcaster_neutral_dominates.webp 8.6 KB
- assets/v1.2.0-validation/03_broadcaster_synthwave_FINAL.webp 11 KB
- assets/v1.2.0-validation/04_broadcaster_with_features_still_not_human.webp 12 KB
- evals/evals.json 2.7 KB
- references/assembly-order.md 4.8 KB
- references/blender-version-compat.md 3.9 KB
- references/common-object-dimensions.md 12 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.
- 10d ago First seen · 258 lines · 248 tokens per session scan A 3a4bf538f015
text-to-blender is a skill published in the GitHub repository RobLe3/cc-blender-skill (58 stars, last pushed 4mo ago), licensed MIT. It adds 248 tokens to every session and 4,418 once invoked, about $0.0012 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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