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 linkprint/local-ai-movie-workspace --skill hunyuan-image-generationgit clone --depth 1 https://github.com/linkprint/local-ai-movie-workspaceWrote 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/linkprint/local-ai-movie-workspace/hunyuan-image-generation)<a href="https://agentmods.dev/skills/linkprint/local-ai-movie-workspace/hunyuan-image-generation"><img src="https://agentmods.dev/badge/skills/linkprint/local-ai-movie-workspace/hunyuan-image-generation/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/linkprint/local-ai-movie-workspace/hunyuan-image-generation"><img src="https://agentmods.dev/badge/skills/linkprint/local-ai-movie-workspace/hunyuan-image-generation.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 | $0.00065 | $0.00405 |
| Opus 5 | $0.00032 | $0.00202 |
| Sonnet 5 | $0.00013 | $0.00081 |
| Haiku 4.5 | $0.00006 | $0.00040 |
Grade A, and why
hunyuan-image-generation 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 12d 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
Hunyuan Image Generation
Use only movie-ai; never contact ComfyUI, the host, or a LAN address directly.
Invoke this skill only when the current user request explicitly names
Hunyuan/混元. Do not select Hunyuan based on prompt complexity, composition, or
quality judgment alone. A local-language-model session otherwise uses
Z-Image-Turbo, while an OpenAI-language-model session otherwise uses
gpt-image-2.
Save a JSON spec under /workspace with:
model:HunyuanImage-3.0-Instruct.prompt: the approved image prompt.resolution: currently1024x1024.seed: optional non-negative integer.steps: 4 through 12; default 8.guidance_scale: 1 through 5; default 2.5.flow_shift: 1 through 5; default 2.3.
Run movie-ai image generate --model HunyuanImage-3.0-Instruct --spec SPEC.json, then movie-ai job wait JOB_ID. After the job is completed, download it with movie-ai job download JOB_ID --output /outputs/NAME.png and verify the reported SHA-256. The download result includes an absolute url; always give that Portal URL to the user, never only the /outputs path.
The Broker may keep the shared fixed ComfyUI worker running between H3 and Hunyuan jobs. If preflight or generation fails, report the job status and do not retry automatically or bypass the Broker.
What ships with it
1 file 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.
- 12d ago First seen · 29 lines · 65 tokens per session scan A c68e46a96041
hunyuan-image-generation is a skill published in the GitHub repository linkprint/local-ai-movie-workspace (1 stars, last pushed 14d ago), licensed MIT. It adds 65 tokens to every session and 405 once invoked, about $0.0003 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 2026-08-31.
Other skills, from other repositories
tape-opens
Stack-unwind review of this conversation - a tree of main tasks done (struck through) and every open left behind at the depth it was abandoned, sized by the thread's measured shape, never by feel. Optional argument - a .jsonl path or session id to review a different session.
higgsfield-troubleshoot
Use when a Higgsfield generation fails, produces poor quality, looks wrong, doesn't match the prompt, or the user needs to fix or improve an output.
higgsfield-mixed-media
Use when the user asks about Mixed Media, wants to apply artistic preset styles to an image (Noir, Sketch, Paper, Canvas, Particles, Neon, etc.), combine multiple artistic treatments, or create stylized non-photorealistic outputs.
higgsfield-motion-design
End-to-end motion-design / animated-ad creation flow on Higgsfield via the MCP connector. Use when the user wants to create motion design, animate a logo, make a video from an image, build an animated ad or brand promo, turn a product into motion, or says 'make a motion', 'motion design', 'animate this', 'make a video…
higgsfield-vibe-motion
Use when the user asks about Vibe Motion, motion graphics, kinetic typography, animated text, brand animations, logo animations, infographic animation, presentation animation, data-driven video, or prompt-to-motion-graphic workflows. Vibe Motion is fundamentally different from video generation — it creates…
company-brain
How an agent should operate as one mind inside a shared Company Brain built on Caura — recall before acting, obey fleet keystones, reuse and publish skills, and report outcomes so every task compounds across the whole organization. Use this whenever you work as part of a Caura-connected team or fleet and your work…