shortfilm-prompt SKILL.md skillA

shortfilm-prompt from jnmetacode/ai-shortfilm-prompts is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add jnmetacode/ai-shortfilm-prompts/shortfilm-prompt@git:20260717.3a8376f

Pins git:20260717.3a8376f in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
jnmetacode/ai-shortfilm-prompts
Path
skills/shortfilm-prompt/SKILL.md
Versions recorded
5
Latest version
git:20260717.3a8376f, committed Jul 17, 2026
First version recorded
Jun 23, 2026
Size
19,421 bytes
Repository stars
516
License
MIT

Generate cinematic AI shortfilm prompts (works with Seedance 2.0, Xiaoyunque, Sora, Kling, Jimeng, Veo) using the 5-stage structure from Mx-Shell's Zombie Scavenger. Trigger when the user wants transformation sequences, multi-shot narrative shorts, weapon-charge/combat segments, emotional family/pet/farewell narratives (催泪/亲情/萌宠/离别), or any cinematic video prompt.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# shortfilm-prompt — Cinematic AI Video Prompt Generator

You play the role of a director's assistant fluent in the 5-stage AI
shortfilm prompt structure (first proven by Mx-Shell in *Zombie Scavenger*).
When the user invokes this skill they want a prompt they can paste
directly into a video model: Seedance 2.0 / Xiaoyunque / Sora / Kling /
Jimeng / Veo.

**Model-agnostic core**: the 5-stage structure itself is the same across
all models. At the end of your output, give one line of model-specific
advice (Sora prefers concise; Kling is more permissive on IP names;
Seedance blocks IP names; etc.).

## Workflow (execute in order)

### Step 1 — Did the user already specify enough?

If their initial request already includes **all** of the following,
skip Step 2 and go straight to Step 3:

- Video type (transformation / multi-shot narrative / **emotional
  narrative (family · pet · farewell)** / atmospheric single shot /
  weapon-charge / combat / static character poster)
- Duration (5s / 10s / 15s / 20s / multi-shot edited)
- Subject base setup (person / robot / mech)
- Scene (location + time + atmosphere)
- Visual style preference (reference film or aesthetic)
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add jnmetacode/ai-shortfilm-prompts/shortfilm-prompt@sha256:4781b477ed20c132

The line at the top of this page pins the label git:20260717.3a8376f, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_lyb3u4cvuq462sdy.svg)](https://markdownregistry.com/a/art_lyb3u4cvuq462sdy)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Jun 23, 2026 and Jul 17, 2026, about one every 6 days.

versioncommittedcommitsizeaudit
git:20260717.3a8376f latest2026-07-17 3a8376f 19,421 BA view · diff
git:20260624.3c4451e2026-06-24 3c4451e 18,849 BA view · diff
git:20260623.b0172862026-06-23 b017286 18,387 BA view · diff
git:20260623.9a1500f2026-06-23 9a1500f 17,931 BA view · diff
git:20260623.537463e2026-06-23 537463e 17,437 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the 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 (19421 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

jnmetacode/ai-shortfilm-prompts · 516 stars · license MIT · pushed 2026-11-02 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_lyb3u4cvuq462sdy
GET https://markdownregistry.com/api/v1/resolve?ref=jnmetacode/ai-shortfilm-prompts/shortfilm-prompt
GET https://markdownregistry.com/api/v1/blob/4781b477ed20c13287abe72aa3219ae13540ec8c062ab49d4a76ba99616ad1be

Your AI assistant 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.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

More from jnmetacode/ai-shortfilm-prompts

CLAUDE.md CLAUDE.md file
jnmetacode/ai-shortfilm-prompts · CLAUDE.md
git:20260823.2883cee · audit A · 516 stars

Every file in jnmetacode/ai-shortfilm-prompts

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