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 h3-video-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/h3-video-generation)<a href="https://agentmods.dev/skills/linkprint/local-ai-movie-workspace/h3-video-generation"><img src="https://agentmods.dev/badge/skills/linkprint/local-ai-movie-workspace/h3-video-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/h3-video-generation"><img src="https://agentmods.dev/badge/skills/linkprint/local-ai-movie-workspace/h3-video-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 | $0.00079 | $0.02672 |
| Opus 5.5 | $0.00032 | $0.01069 |
| Sonnet 5.5 | $0.00016 | $0.00534 |
| Haiku 4.5 | $0.00008 | $0.00267 |
Grade A, and why
h3-video-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 2mo 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MiniMax H3 Video Generation
Use only movie-ai; never contact ComfyUI, the host, or a LAN address directly.
Prepare
Use $h3-prompt-writing when the prompt still needs H3 structure.
Select Content Profile
Choose the content profile from the user's current request before the final generation confirmation:
- Use
adultwhen the request or approved prompt clearly asks for adult/18+, erotic, pornographic, or sexually explicit content involving consenting adults who are all explicitly 18 or older. This profile loadsPinkCherry_fl2va_MiniMax_H3_int8_convrot-beta-0.6.safetensorsinstead of the ordinary H3 UNET. - Use
generalfor every other request. An adult-aged character, romance, kissing, swimwear, fashion, anatomy, or mature dramatic themes alone do not select the adult profile. - Do not use the adult profile when any depicted person is under 18, described as youthful or underage, or has ambiguous age. Stop and ask for a clearly adult-only revision when age is unclear.
- If the classification is genuinely ambiguous, ask the user whether they intend ordinary or adult/18+ content before the final confirmation. Never infer the adult profile from a filename, style skill, or prior project.
- The content profile and workflow preset are independent. Adult content uses PinkCherry with either
pdd-acc-8steporstandard; the selected workflow still controls sampling and step rules. - Ref2VA uses the separate
minimax_h3_ref2va_pruned_int8_convrot.safetensorsweight and supports only thegeneralcontent profile. Do not route an adult/PinkCherry request through Ref2VA.
Select Workflow and Steps
Resolve the workflow before asking for the final generation confirmation:
- If the user already explicitly requested PDD-Acc/high-speed 8-step, ordinary 20-step, or a custom step count, preserve that choice and restate it in the final summary. Do not silently replace it.
- Otherwise, ask a separate localized workflow-choice question before the final generation confirmation. In Chinese, use header
工作流, question本次 MiniMax H3 视频使用哪套工作流?, and these choices:- 高速 8-step(推荐) — use
pdd-acc-8step, locked to the installed MiniMax-H3-PDD-Acc recipe. - 普通 20-step — use
standardwith 20 sampling steps. Keep the structured tool's automatic free-formOtherfield available for a custom ordinary-workflow step count, for example普通 50-step. Stop and wait for this answer before assembling and asking the final generation confirmation. For Ref2VA, do not offer this PDD choice: selectstandardand ask only whether to keep the ordinary 20 steps or use a custom 8–50 step count.
- 高速 8-step(推荐) — use
- A custom step count selects the
standardworkflow and may be any integer from 8 through 50. PDD-Acc is trained for its locked 8-step path; never runpdd-acc-8stepat 20, 50, or another custom count. - The PDD preset is the fixed recipe:
MiniMax-H3-FL2VA-Acc-8Step.safetensors, Euler sampler, PDD-provided sigmas, NFE 8, LoRA/head strengths 1.0, and MiniMax H3 video/audio sigma shifts 12/3. Do not combine it with Turbo, FirstBlockCache, EasyCache, or another distillation LoRA.
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.
- 2mo ago First seen · 108 lines · 79 tokens per session scan A 5e724ed69e77
h3-video-generation is a skill published in the GitHub repository linkprint/local-ai-movie-workspace (1 stars, last pushed 2mo ago), licensed MIT. It adds 79 tokens to every session and 2,672 once invoked, about $0.0003 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.
h3-video-generation compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| h3-video-generationlinkprint/local-ai-movie-workspace | Skill | 1 | 2mo ago | MIT | A | 79 | Codex |
| tape-opensenricoros/big-AGI | Skill | 7.2k | today | MIT | A | 60 | Claude Code |
| x-signal-agentomnara-ai/omnara | Skill | 3.4k | today | Apache-2.0 | A | 53 | Claude Code, Codex |
| agent-notesCherryHQ/cherry-studio | Skill | 53k | today | AGPL-3.0 | A | 51 | Claude Code, Codex |
| cherry-electron-devCherryHQ/cherry-studio | Skill | 53k | today | AGPL-3.0 | A | 68 | Claude Code, Codex |
| issue-reporterCherryHQ/cherry-studio | Skill | 53k | today | AGPL-3.0 | A | 35 | Claude Code |
| code-mate-antigravityCherryHQ/cherry-studio | Skill | 53k | today | AGPL-3.0 | A | 32 | Claude Code, Codex |