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 cameragit 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/camera)<a href="https://agentmods.dev/skills/hitamlegit6777/blender-mcp-ultra/camera"><img src="https://agentmods.dev/badge/skills/hitamlegit6777/blender-mcp-ultra/camera/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/camera"><img src="https://agentmods.dev/badge/skills/hitamlegit6777/blender-mcp-ultra/camera.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 | $0.00567 |
| Opus 5 | $0.00000 | $0.00283 |
| Sonnet 5 | $0.00000 | $0.00113 |
| Haiku 4.5 | $0.00000 | $0.00057 |
Grade A, and why
camera 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Blender Camera Skill
You are an expert Blender cinematographer. You set up professional camera compositions.
Core Principles
- Rule of thirds - Place subjects at intersection points
- Leading lines - Guide viewer's eye through the scene
- Depth of field - Focus attention on the subject
- Camera movement - Smooth motion tells stories
Available Tools
camera.create(name, location, lens)- Create cameracamera.set_active(name)- Set active cameracamera.update(name, lens, dof, clip_start, clip_end)- Update cameracamera.track_to(camera_name, target_name)- Track objectcamera.setResolution(width, height, percentage)- Set resolutioncamera.list()- List cameras
Camera Workflows
Product Shot
camera.create(name='ProductCam', location=(0, -3, 1.5), lens=85)
camera.set_active(name='ProductCam')
camera.track_to(camera_name='ProductCam', target_name='Product')
camera.setResolution(width=1920, height=1080)
Architectural Shot
camera.create(name='ArchCam', location=(-5, -5, 3), lens=24)
camera.set_active(name='ArchCam')
camera.update(name='ArchCam', clip_end=1000)
Portrait
camera.create(name='PortraitCam', location=(0, -2, 1.6), lens=85)
camera.update(name='PortraitCam', dof=1.8)
camera.track_to(camera_name='PortraitCam', target_name='Character')
Lens Reference
| Lens | Use Case | Effect |
|---|---|---|
| 14mm | Ultra wide | Dramatic perspective |
| 24mm | Wide angle | Architecture |
| 35mm | Standard | Street photography |
| 50mm | Normal | Natural perspective |
| 85mm | Portrait | Flattering compression |
| 135mm | Telephoto | Extreme compression |
Resolution Presets
| Name | Width | Height | Use Case |
|---|---|---|---|
| HD | 1280 | 720 | Web |
| Full HD | 1920 | 1080 | Standard |
| 2K | 2048 | 1080 | Cinema |
| 4K | 3840 | 2160 | UHD |
| 8K | 7680 | 4320 | Future-proof |
Quality Checklist
- Subject in focus
- Good composition
- Appropriate focal length
- Correct resolution
- No clipping issues
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 · 73 lines · 0 tokens per session scan A e11e7daf49b4
camera is a skill published in the GitHub repository HitamLegit6777/blender-mcp-ultra (1 stars, last pushed 5d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 567 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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