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 62656456/ai-film-skills --skill produce-ai-videogit clone --depth 1 https://github.com/62656456/ai-film-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/62656456/ai-film-skills/produce-ai-video)<a href="https://agentmods.dev/skills/62656456/ai-film-skills/produce-ai-video"><img src="https://agentmods.dev/badge/skills/62656456/ai-film-skills/produce-ai-video/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/62656456/ai-film-skills/produce-ai-video"><img src="https://agentmods.dev/badge/skills/62656456/ai-film-skills/produce-ai-video.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 | $0.00086 | $0.01608 |
| Opus 5.5 | $0.00034 | $0.00643 |
| Sonnet 5.5 | $0.00017 | $0.00322 |
| Haiku 4.5 | $0.00009 | $0.00161 |
Grade A, and why
produce-ai-video 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 29d 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 — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Produce AI Video
Outcome
Deliver the actual video artifact the user requested. A finished-film request needs an assembled film; an explicitly requested single-shot video or video test stays within that scope. Storyboards, prompts and QC reports are supporting artifacts, not proof of video delivery.
Entry and handoff
Read the latest request in its current stage. “Test”, “show the result”, or a film example does not by itself authorize media generation. Creative shot ideas stay as optional text describing the intended image, story purpose, camera or edit, and tradeoffs. They do not require an account, credits, reference upload or a playable sample. Adopting an idea authorizes only the adoption named by the user, not a subsequent generation step.
Start this workflow only for an actual video request or an already authorized video task. Use its current director plan, storyboard, approved assets and entry/exit states as the handoff. Complete only missing decisions needed for execution; do not rerun every upstream Skill or redesign locked shots. New creative alternatives remain separate suggestions until specifically adopted; do not add them to the production queue.
This package contains its own production storyboard and six-module prompt compiler in references/storyboard-prompt-compiler.md. Use it only after the director judgment is complete.
Choose the execution mode
Autonomous production mode
Use this mode when the user asks for an actual video or film and delegates the necessary directing and production decisions. A test of Skill instructions or creative thinking alone is not this mode.
- Read the project knowledge, current script, approved assets, visual rules, decisions, and checkpoints.
- Make the director decisions independently.
- Design the shot groups, prompts, production route, generation, selection, edit, sound, review, and repairs.
- Do not push ordinary directing decisions back to the user.
- Ask only when a missing choice materially changes story meaning, spend, permissions, publication, or an already locked structure.
What ships with it
4 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.
- 29d ago Changed · +7 lines · -24 tokens per session a77badae3557
- 1mo ago Changed 05ce3b602907
- 1mo ago First seen · 68 lines · 110 tokens per session scan A e2721e4d6493
produce-ai-video is a skill published in the GitHub repository 62656456/ai-film-skills (92 stars, last pushed 9d ago), licensed Apache-2.0. It adds 86 tokens to every session and 1,608 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.
Other skills, from other repositories
seedance-20
This skill should be used when creating, improving, or troubleshooting Seedance 2.0 video on any surface — Dreamina, Jimeng, CapCut, Doubao, Volcengine/Ark, BytePlus, Runway's Seedance route, fal, or third-party provider/router surfaces such as EvoLink, OpenRouter, Kie.ai, PiAPI, LaoZhang, Runware, ModelsLab, AI/ML…
seedance-prompt
This skill should be used when the user asks to write, improve, translate, compress, or debug a Seedance 2.0 video prompt; mentions T2V, I2V, V2V, R2V, camera direction, prompt quality, or provides reference assets for a production-ready prompt.
miora-video-studio
A video-generation workflow for the Miora and WorkBuddy tools. It checks whether a video was really created by inspecting the saved file, rather than trusting a task response.
travel-skill
A production guide for realistic travel-promotion videos that combine authorised real footage with AI-generated shots.
action-fight-prompt
A guide for writing prompts for AI-generated action and fight videos. It breaks a scene into short timed sections and describes connected movements, camera work, visual continuity, and sound effects.
travel-photo-to-video
A workflow for turning real travel photographs into a storyboard and prompts for short AI-generated video shots. It keeps the photographs' subjects and locations consistent while suggesting restrained camera movement.