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 alivirgo/Major-AI-Skills --skill cinema-4dgit clone --depth 1 https://github.com/alivirgo/Major-AI-SkillsWrote 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/alivirgo/major-ai-skills/cinema-4d)<a href="https://agentmods.dev/skills/alivirgo/major-ai-skills/cinema-4d"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/cinema-4d/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/alivirgo/major-ai-skills/cinema-4d"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/cinema-4d.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 | $0.00052 | $0.02292 |
| Opus 5.5 | $0.00021 | $0.00917 |
| Sonnet 5.5 | $0.00010 | $0.00458 |
| Haiku 4.5 | $0.00005 | $0.00229 |
Grade A, and why
cinema-4d 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 13d 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 — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Maxon Cinema 4D AI Skill Guide (Claude)
Overview & Engine Architecture
Maxon Cinema 4D (C4D 2024/2025+) is a motion-design and VFX DCC. Agents should treat scenes as versioned project packages (assets + caches + render settings), MoGraph as procedural contracts (cloners + effectors + fields), and Redshift as a GPU memory budget problem—not “turn samples up.” Automation runs through c4dpy, the classic c4d API, the maxon graph API (Scene Nodes / Neutron), and headless Commandline renders.
┌─────────────────────────────────────────────────────────────┐
│ C4D build → cache → render loop │
│ │
│ Authoring │
│ ├── Classic OM + Scene Nodes / Neutron │
│ ├── MoGraph: Cloner → Effectors → Fields │
│ └── Unified Sim: Pyro / Cloth / Soft / Rigid │
│ │
│ Automation │
│ ├── c4dpy (headless Python 3) │
│ ├── c4d + maxon APIs │
│ └── Commandline.exe farm flags (-render -frame -oimage) │
│ │
│ Redshift │
│ ├── GPU VRAM + Out-of-Core + texture streaming │
│ └── ACEScg OCIO, AOVs / Cryptomatte, .rs proxies │
└─────────────────────────────────────────────────────────────┘
Version pins: document Cinema 4D year + build and Redshift build in every pipeline README. Plugin IDs and Python APIs drift across major releases—never assume R20 snippets still compile.
When to use / when not to
Use when
- Authoring or debugging MoGraph systems, Takes, and Redshift materials/AOVs.
- Headless batch export (USD/Alembic/FBX) or farm renders via Commandline / c4dpy.
- Packaging projects, fixing missing textures, or remapping asset paths for a render node.
What ships with it
2 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.
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.
- 13d ago Changed · +61 lines · +27 tokens per session 0af7ed833b13
- 1mo ago Changed · -17 tokens per session f436a00f3a3e
- 2mo ago First seen · 139 lines · 42 tokens per session scan A a4958a25bec8
cinema-4d is a skill published in the GitHub repository alivirgo/Major-AI-Skills (2 stars, last pushed yesterday), licensed MIT. It adds 52 tokens to every session and 2,292 once invoked, about $0.0002 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 2026-08-31.
cinema-4d compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| cinema-4dalivirgo/Major-AI-Skills | Skill | 2 | yesterday | MIT | A | 52 | Claude Code |
| brand-assets-setupJohnWayneeee/ai-agent-skills | Skill | 1 | 13d ago | MIT | A | 41 | Claude Code |
| browser-auditJohnWayneeee/ai-agent-skills | Skill | 1 | 13d ago | MIT | A | 96 | Codex |
| workflow-node-setupJohnWayneeee/ai-agent-skills | Skill | 1 | 13d ago | MIT | A | 59 | Codex |
| payoff-action-modelingJohnWayneeee/ai-agent-skills | Skill | 1 | 13d ago | MIT | A | 86 | Codex |
| ui-final-polishJohnWayneeee/ai-agent-skills | Skill | 1 | 13d ago | MIT | A | 75 | Claude Code, Codex |
| figma-pencil-fsd-tailwind4JohnWayneeee/ai-agent-skills | Skill | 1 | 13d ago | MIT | A | 79 | Claude Code, Codex |