make-ai-short

make-ai-short is a skill for Claude Code from hassancs91/claude-faceless-shorts-creator. It costs 180 tokens per session (1,726 once invoked), scanned A, original, MIT.

A workflow for making looping vertical videos with AI-generated images and video clips, narrated voice-over, sound effects, and timed captions. It uses Remotion, a tool for assembling videos with code.

In plain words
What is it for?
It helps create 35–40-second portrait shorts for social media, including the character reference, narration, captions, sound effects, compositing, and final render.
Why use it?
It keeps a recurring character visually consistent and checks the loop, timing, and production cost before generating media.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: positional $N argument.

Good fit It helps create 35–40-second portrait shorts for social media, including the character reference, narration, captions, sound effects, compositing, and final render.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hassancs91/claude-faceless-shorts-creator/make-ai-short
Install

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.

Any agent
npx skills add hassancs91/claude-faceless-shorts-creator --skill make-ai-short
Clone the repo
git clone --depth 1 https://github.com/hassancs91/claude-faceless-shorts-creator

Made for: Claude Code.

Wrote 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.

agentmods badge for make-ai-short

README.md
[![agentmods](https://agentmods.dev/badge/skills/hassancs91/claude-faceless-shorts-creator/make-ai-short/github.svg)](https://agentmods.dev/skills/hassancs91/claude-faceless-shorts-creator/make-ai-short)
Your own site
<a href="https://agentmods.dev/skills/hassancs91/claude-faceless-shorts-creator/make-ai-short"><img src="https://agentmods.dev/badge/skills/hassancs91/claude-faceless-shorts-creator/make-ai-short/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.

agentmods 80×15 button for make-ai-short

Your own site · 80×15
<a href="https://agentmods.dev/skills/hassancs91/claude-faceless-shorts-creator/make-ai-short"><img src="https://agentmods.dev/badge/skills/hassancs91/claude-faceless-shorts-creator/make-ai-short.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 180 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,726 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00180 $0.01726
Opus 5 $0.00090 $0.00863
Sonnet 5 $0.00036 $0.00345
Haiku 4.5 $0.00018 $0.00173

Measured 12d ago against content hash fd94e873b3ec, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

make-ai-short 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 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.

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.

.claude/skills/make-ai-short/SKILL.md · 90 lines

How it starts

The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.

make-ai-short — generative shorts, end to end

The pixels come from a video model; Remotion only composites clips + captions. Proven on blue-man #1 "The Door". Sibling of /make-short (100% TSX) — same discipline, plus three gates TSX never needed: cost stated before generating, character locked from character.json, loop pinned via end-frame conditioning.

Run everything from the repo root. Needs FAL_KEY (clips + images) and ELEVENLABS_API_KEY (voice) in .env.

The three iron rules

  1. NEVER generate a character from text twice. ai-shorts/<char>/character.json + character.png is the locked reference. Every still that needs the character is gen_image.py --ref character.png; every clip is image-to-video from a frame that already contains him. If a character sheet doesn't exist yet, making ONE (and getting the user's eye on it) is its own step before anything else.
  2. STATE THE COST BEFORE SPENDING IT. Derived, not quoted: Seedance 1080p audio-off = h×w×24×dur/1024 tokens × $1.2/1M ≈ $0.0583/s (fal pricing API validated 2026-07-14 — see ai-shorts/IDEAS.md for the full table + the Wan/Veo-Lite traps). Always generate_audio:false — voice is ElevenLabs, sound is our SFX pipeline.
  3. Loop by CONSTRAINT, not luck. Shot 1's true frame 0 (extracted from the clip, not the prompt image) is the loop target. The final shot passes it as end_image_url (Seedance/Kling), and the composition settles onto that exact still over the last ~10 frames (LoopSettle pattern in remotion/src/shots/ai-1/Ai1Door.tsx).

Artifact contract

ai-shorts/<name>/
  script.md · beats.json      — same contract as /make-short (vo[] with real word times)
  character.json              — THE LOCKED REFERENCE (+ video_model block = the picked model)
  shots/NN-slug.png           — per-shot START frame (gen_image.py --ref character.png [--ref scene])
  shots/NN-slug.json          — gen_clip sidecar (model, payload, request id)
  shots/upload-urls.json      — fal storage urls (uploads are reusable across re-rolls)
  voice/ · sfx-plan.json · output/                                          [voice/output gitignored]
remotion/src/shots/ai-N/      — composition + vo.gen.ts
media/projects/<name>/        — THE clip copies for staticFile() (committed — pixels are
                                not reproducible; shots/*.mp4 working copies are gitignored)

Read the full file on GitHub · 90 lines

Changes

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.

  1. 12d ago First seen · 90 lines · 180 tokens per session scan A fd94e873b3ec

Subscribe to this mod's changes

make-ai-short is a skill published in the GitHub repository hassancs91/claude-faceless-shorts-creator (232 stars, last pushed 24d ago), licensed MIT. It adds 180 tokens to every session and 1,726 once invoked, about $0.0009 per session on Opus 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 2026-08-30.

Related

Other skills, from other repositories

verticals

AI-native vertical video engine with niche intelligence. Takes a one-line topic and a niche profile, and outputs a finished YouTube Short/Reel/TikTok with AI-generated b-roll, voiceover, burned-in captions, background music, and thumbnail. Supports multiple LLM providers (Claude, Gemini, GPT, Ollama), TTS providers…

rushindrasinha/youtube-shorts-pipeline · 93 tokens

creative-theme-generator

Converts any user input into structured creative themes for AI video generation. Handles: natural language descriptions, keywords, long-form text extraction, partial fields, random generation, and batch test tasks. Outputs standardized 12-field JSON (taskid, type, theme, description, durationsec, creativestyle, tone…

geniusdapeng-collab/super-mickey · 126 tokens

ai-film-studio

AI film production studio with pre-built scripts: analyze inspiration/reference videos (Gemini), write script + storyboard, generate stills (GPT Image 2; Seedream 5 / Nano Banana as fallbacks), video (Gemini Omni 1.1 Flash, FLUX 3 Video, Seedance 2.5/2.0, LTX 2.5/2.3; Veo 3.1 fallback), audio (ElevenLabs), and…

realaman90/ai-film-skills · 214 tokens

seedance-director

A workflow coordinator that connects several skills for producing a complete set of Seedance video clips from a short-film request.

geniusdapeng-collab/super-mickey · 151 tokens

seedance-post-production

A video post-production workflow for turning multiple clips into a finished short film. It supports joining clips, color adjustment, transitions, subtitles, and combining sound with video.

geniusdapeng-collab/super-mickey · 90 tokens

seedance-micromotion

A final prompt-editing step that adds small, natural movements to Seedance video instructions before they are sent to the video generator.

geniusdapeng-collab/super-mickey · 0 tokens