Home / 0xsline / openchatcut · src/agent/skills/ai-cinematic-short-film/SKILL.md · GitHub

ai-cinematic-short-film skillA

ai-cinematic-short-film is agent-read markdown (skill) from 0xsline/openchatcut: Plan AI short films with story, shots, prompts, and continuity..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified before it reaches your agent: the main file against the SHA-256 recorded here, the others against the git hashes of its source commit. The deterministic audit below grades the latest version, and the same checks always give the same file the same grade.

What the file says

# AI Cinematic Short Film

Use this workflow when the user wants OpenChatCut to create a cinematic AI-generated short film or story-led visual sequence.

This is a OpenChatCut-native workflow. If a source workflow depends on external image/video generation or manual assembly, replace that step with OpenChatCut's equivalent capability when available. Do not add unrelated OpenChatCut features just because they exist.

## When to Use

- The user starts from an idea, product, script, reference image, mood, or story premise.
- The work needs shot planning, prompt craft, visual continuity, and cinematic pacing.
- The user wants AI-generated clips assembled into a finished short.

## Workflow

1. Define the creative brief: premise, emotion, audience, platform, aspect ratio, duration, and ending.
2. Create a compact story structure: hook image, setup, escalation, reveal or payoff, final beat.
3. Build a style bible using [references/cinematic-ai-workflow.md](references/cinematic-ai-workflow.md): world, character, color, lens/camera language, motion, lighting, and continuity rules.
…

Read the whole file at its exact version.

How to install

Latest version
mdr add 0xsline/openchatcut/ai-cinematic-short-film@git:20260801.23ff26c
Exact content
mdr add 0xsline/openchatcut/ai-cinematic-short-film@sha256:fe9dd575ec3a3de9

Pin to a label to follow the author's releases, or to a sha256 for exact bytes. Either way the resolved hash is written to mdr.lock, and mdr install fetches those bytes again and checks them, so it installs them exactly or fails.

Badge

mdr badge

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Versions

versioncommittedcommitsizeaudit
git:20260801.23ff26c latest2026-08-01 23ff26c 2,697 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (2697 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

0xsline/openchatcut · 2,013 stars · license AGPL-3.0 · pushed 2026-09-27 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_4zfia4qm4qas4dmi
GET https://markdownregistry.com/api/v1/resolve?ref=0xsline/openchatcut/ai-cinematic-short-film
GET https://markdownregistry.com/api/v1/blob/fe9dd575ec3a3de9c7f1406e9804d76ceb8aa0272d8a32963cb5cb91309e9f39

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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