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 HitamLegit6777/blender-mcp-ultra --skill blender-camerasgit clone --depth 1 https://github.com/HitamLegit6777/blender-mcp-ultraWrote 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/hitamlegit6777/blender-mcp-ultra/blender-cameras)<a href="https://agentmods.dev/skills/hitamlegit6777/blender-mcp-ultra/blender-cameras"><img src="https://agentmods.dev/badge/skills/hitamlegit6777/blender-mcp-ultra/blender-cameras/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/hitamlegit6777/blender-mcp-ultra/blender-cameras"><img src="https://agentmods.dev/badge/skills/hitamlegit6777/blender-mcp-ultra/blender-cameras.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 | $0.00000 | $0.00337 |
| Opus 5 | $0.00000 | $0.00169 |
| Sonnet 5 | $0.00000 | $0.00067 |
| Haiku 4.5 | $0.00000 | $0.00034 |
Grade A, and why
blender-cameras 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 11d 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.
What it actually says
blender-cameras — Camera & Framing Skill
Set up, position, and configure cameras for optimal composition.
Creating a Camera
import math
bpy.ops.object.camera_add(location=(5, -5, 4), rotation=(math.radians(60), 0, math.radians(45)))
cam = bpy.context.active_object
cam.name = "CAM_Main"
cam.data.lens = 50 # 50mm focal length
bpy.context.scene.camera = cam
Focal Length Guide
| Focal Length | Use Case |
|---|---|
| 24-35mm | Wide, environmental, architectural |
| 50mm | Standard, natural perspective |
| 85mm | Portrait, product close-ups |
| 135mm | Telephoto, compressed background |
| 200mm | Macro, detail shots |
Camera to Target
# Track to target object
target = bpy.data.objects["GEO_Subject"]
constraint = cam.constraints.new(type='TRACK_TO')
constraint.target = target
constraint.track_axis = 'TRACK_NEGATIVE_Z'
constraint.up_axis = 'UP_Y'
Depth of Field
cam.data.dof.use_dof = True
cam.data.dof.focus_object = target
cam.data.dof.aperture_fstop = 2.8 # Lower = more blur
Auto-Framing
bpy.ops.object.select_all(action='DESELECT')
target.select_set(True)
bpy.context.view_layer.objects.active = target
bpy.ops.view3d.camera_to_view_selected()
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.
- 11d ago First seen · 53 lines · 0 tokens per session scan A 7915d5897427
blender-cameras is a skill published in the GitHub repository HitamLegit6777/blender-mcp-ultra (1 stars, last pushed 7d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 337 tokens. 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 2026-08-31.
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