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 jnMetaCode/ai-shortfilm-prompts --skill shortfilm-promptgit clone --depth 1 https://github.com/jnMetaCode/ai-shortfilm-promptsWrote 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/jnmetacode/ai-shortfilm-prompts/shortfilm-prompt)<a href="https://agentmods.dev/skills/jnmetacode/ai-shortfilm-prompts/shortfilm-prompt"><img src="https://agentmods.dev/badge/skills/jnmetacode/ai-shortfilm-prompts/shortfilm-prompt/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/jnmetacode/ai-shortfilm-prompts/shortfilm-prompt"><img src="https://agentmods.dev/badge/skills/jnmetacode/ai-shortfilm-prompts/shortfilm-prompt.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Anti-Refusal · line 63 Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
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 | $0.00100 | $0.04927 |
| Opus 5 | $0.00050 | $0.02464 |
| Sonnet 5 | $0.00020 | $0.00985 |
| Haiku 4.5 | $0.00010 | $0.00493 |
Grade B, and why
shortfilm-prompt scanned grade B with 1 finding 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.
Strips warnings and disclaimersmediumAnti-refusal
Omitting safety caveats hides risk from the user and is a common jailbreak preamble.
Don't lecture. Point at the parts the user is most likely to want to How it starts
The opening of the file, as written. The whole thing — 412 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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)
Step 2 — If info is incomplete, ask at most 2–3 key questions
Use AskUserQuestion. Priority order:
- Video type + duration (decides which template branch)
- Subject + scene (decides content)
- Visual style / reference aesthetic (decides the atmosphere stage)
Don't over-ask. Mx-Shell himself worked iteratively, making it up as he went. Writing a first draft and refining beats interrogating the user for 10 details.
Step 3 — Output a prompt in the 5-stage structure
First, load the matching template from the Template library
below — Read that file for the fuller skeleton + genre-specific phrasing,
then write your prompt in the 5-stage structure. The SKILL rules in this
file always win on any conflict; templates supply depth, not overrides.
What ships with it
9 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.
- examples/01-mecha-energy-shield.md 2.0 KB
- examples/02-skill-output-sample.md 6.2 KB
- examples/03-multi-shot-cat-encounter.md 2.1 KB
- examples/04-weapon-charge-combat.md 2.4 KB
- examples/05-ip-name-forced.md 1.4 KB
- examples/06-emotional-pet-farewell.md 2.6 KB
- examples/README.md 2.4 KB
- SKILL.zh.md 18 KB
- TESTING.md 4.5 KB
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 · 412 lines · 100 tokens per session scan B 4781b477ed20
shortfilm-prompt is a skill published in the GitHub repository jnMetaCode/ai-shortfilm-prompts (405 stars, last pushed 2d ago), licensed MIT. It adds 100 tokens to every session and 4,927 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it B with 1 finding (strips warnings and disclaimers). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
kling-prompter
A prompt-writing guide for Kling 3.0, a video-generation model. It covers short videos, story-driven videos with dialogue or sound, and animating an existing reference image.
happyhorse-prompter
A tool for writing short prompts for HappyHorse 1.0, an AI video generator that can create video with sound. Its prompts put the main subject first, specify the camera, and describe audible sound when needed.
seedance-prompter
A prompt-writing guide for Doubao Seedance 2.0, an AI model that generates videos from written instructions.
guochao-visual-cn
A prompt-writing guide for generating Chinese-inspired illustrations and other visual designs. It distinguishes twelve Chinese artistic styles, such as ink painting, gongbi painting, blue-green landscapes, and Dunhuang murals.
vibe-creating-prompt
Judges whether a user's input suits the Vibe Creating style of video-prompt writing, and when it does, distills single-scene prompts, multi-shot descriptions, emotional imagery, or mixed input into prompts that are easier for a video model to generate from — while preserving any user-specified dialogue, voiceover…
agent-orchestration-improve-agent
Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.