video-create

video-create is a skill for Claude Code from experientiallabs/experiential. It costs 147 tokens per session (3,725 once invoked), scanned B, original, Apache-2.0.

A code-based video production workflow that turns an idea, reference, or supplied footage into a rendered video, with optional generated speech, b-roll, and archival material. It covers planning, storyboards, stills, an animatic, editing, sound, and final rendering.

In plain words
What is it for?
Use it for launch films, product demos, explainers, feature announcements, social edits, brand films, or reference-matched videos. It can also produce a self-contained plan for another session to execute.
Why use it?
It organizes the many stages of making a video and keeps changes reproducible by rendering from editable source code rather than relying on a one-off prompt.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: reads .claude/ paths; names the AskUserQuestion tool.

Good fit Use it for launch films, product demos, explainers, feature announcements, social edits, brand films, or reference-matched videos. It can also produce a self-contained plan for another session to execute.

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Install with agentmods
npx agentmods add skills/experientiallabs/experiential/video-create
About the project

Experiential is an open-source model gateway and router, meaning a service that gives agents one API for hosted, user-provided, local, and custom language models. It is for teams that need to choose models, control access and spending, and route production requests according to quality, speed, or cost. The catalogue entries provide agent skills and instructions for operating or configuring the gateway.

experientiallabs/experiential · 9,911 stars · on GitHub · experientiallabs.ai

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 experientiallabs/experiential --skill video-create
Clone the repo
git clone --depth 1 https://github.com/experientiallabs/experiential

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 video-create

README.md
[![agentmods](https://agentmods.dev/badge/skills/experientiallabs/experiential/video-create/github.svg)](https://agentmods.dev/skills/experientiallabs/experiential/video-create)
Your own site
<a href="https://agentmods.dev/skills/experientiallabs/experiential/video-create"><img src="https://agentmods.dev/badge/skills/experientiallabs/experiential/video-create/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 video-create

Your own site · 80×15
<a href="https://agentmods.dev/skills/experientiallabs/experiential/video-create"><img src="https://agentmods.dev/badge/skills/experientiallabs/experiential/video-create.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 147 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,725 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00147 $0.03725
Opus 5.5 $0.00059 $0.01490
Sonnet 5.5 $0.00029 $0.00745
Haiku 4.5 $0.00015 $0.00373

Measured 16d ago against content hash d6cb6e9173ad, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

video-create 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 16d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/analyze_ref.py, scripts/fa_align.py, scripts/uniq_check.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

Read `references/keys.md`. Check what's already available (env vars, `$ROOT/.env`, `~/.config`, `gh auth status`) **before** asking. Then ask once, in a single message, for only the keys that unlock something this film a
.claude/skills/video-create/SKILL.md · 144 lines

How it starts

The opening of the file, as written. The whole thing — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/video-create: from idea to finished film

You are the director, editor, motion designer and sound designer. The output is a finished mp4 with audio, rendered from source that can re-render the whole film with one command. Or, in planner mode, the output is a self-contained brief that another chat can execute.

The core belief behind this skill: everyone has the same model; the context you give it is what makes it look pro. One-prompt videos look mid because the model falls back to its default look: centred text, gradient background, everything fading in. This skill exists to replace defaults with context:

  • references give you pacing, type and transitions;
  • brand and product assets make the film recognizably this company's;
  • the company's real worldview gives it the story;
  • measured numbers replace impressions;
  • build rules make every frame exact and every fix a one-line edit;
  • gates (storyboards → stills → animatic → render) catch problems while fixes are still cheap.

Files in this skill (read them when the phase needs them)

File Read it when
references/interview.md Phase 1: the full question bank, defaults and batching rules
references/keys.md Phase 2: which API keys unlock what, where to get them, how to store them, and fallbacks
references/context-sources.md Phase 3: how to learn the company (repo, website, docs, Granola, Slack, Notion) and find brand assets
references/film-patterns.md Phases 4-5: proven structures (manifesto, launch, one-take morph, demo, explainer, social), including measured examples
references/build-rules.md Phase 6: engine, render pipeline, gotchas and pitfalls, verbatim. Non-negotiable.
references/audio.md Phase 6: music, SFX, ElevenLabs VO, mixing and loudness
references/failure-modes.md Every phase. Real problems from past builds, each written as "to avoid X, do Y". Skim the section for the phase you're entering.
references/remake-mode.md Only when the user wants a frame-locked 1:1 remake of a reference
references/style-match-mode.md Whenever the user points at a reference edit and wants "something very similar" with their own subject and footage (sigma, hype and founder edits). Read it before sourcing anything.
scripts/fa_align.py Exact word times by forced alignment, for caption slams and speech cuts. Whisper timestamps drift 0.3–0.8 s.
scripts/uniq_check.py Ship gate: the no-repeat rule over the shot table
templates/BRIEF.template.md Phase 5: the brief you fill in (and hand off, in planner mode)
examples/style-match-sigma-edit.md Phase 5 (style-match mode): a complete, frame-exact brief at the depth expected (every cut, caption, poster and transition measured)
examples/remake-edge-of-the-world.md Phase 5 (remake mode): a complete frame-locked remake prompt at the depth expected
scripts/analyze_ref.py Phase 4: measures a reference video (cuts per 10s, longest takes, loudness arc, silences, BPM, transcript, contact sheet)

Read the full file on GitHub · 144 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. 16d ago First seen · 144 lines · 147 tokens per session scan B d6cb6e9173ad

Subscribe to this mod's changes

video-create is a skill published in the GitHub repository experientiallabs/experiential (9,911 stars, last pushed 11d ago), licensed Apache-2.0. It adds 147 tokens to every session and 3,725 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-05.

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