generate-video

generate-video is a skill for Claude Code, Codex from Chachamaru127/codex-harness. It costs 66 tokens per session (2,135 once invoked), scanned A, original, MIT.

A workflow for turning a software project into a product-demo video. It analyzes the codebase, suggests a scenario, creates scenes, and can generate supporting images; it requires Remotion, a tool for making videos with React.

In plain words
What is it for?
Use it to create product demos, feature walkthroughs, and other visual explanations of a codebase through the /generate-video command.
Why use it?
It removes the need to understand the whole project and plan every video scene manually. It helps turn software features into visual documentation.

Skill for Claude CodeCodex

Written for Claude Code and Codex: allowed-tools in frontmatter, but also installed under .codex/. Also seen: names the AskUserQuestion tool.

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.

agentmods
npx agentmods add skills/chachamaru127/codex-harness/generate-video
Any agent
npx skills add Chachamaru127/codex-harness --skill generate-video
Clone the repo
git clone --depth 1 https://github.com/Chachamaru127/codex-harness

Made for: Claude Code, Codex.

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 generate-video

README.md
[![agentmods](https://agentmods.dev/badge/skills/chachamaru127/codex-harness/generate-video.svg)](https://agentmods.dev/skills/chachamaru127/codex-harness/generate-video)
Your own site
<a href="https://agentmods.dev/skills/chachamaru127/codex-harness/generate-video"><img src="https://agentmods.dev/badge/skills/chachamaru127/codex-harness/generate-video.svg" alt="Measured on agentmods" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,135 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00066 $0.02135
Opus 5 $0.00033 $0.01068
Sonnet 5 $0.00013 $0.00427
Haiku 4.5 $0.00007 $0.00214

Measured 5d ago against content hash 1acb1f62d570, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

generate-video 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 5d ago.

The scan reads SKILL.md. This mod also ships 17 executable files (remotion/components/index.ts, schemas/validate-schemas-basic.js, schemas/validate-schemas.js, …), 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.

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.

.codex/skills/generate-video/SKILL.md · 179 lines

How it starts

The opening of the file, as written. The whole thing — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Generate Video Skill

プロダクト説明動画の自動生成を担当するスキル群です。


概要

/generate-video コマンドの内部で使用されるスキルです。 コードベース分析 → シナリオ提案 → 並列生成のフローを実行します。

機能詳細

機能 詳細
ベストプラクティス See references/best-practices.md
コードベース分析 See references/analyzer.md
シナリオプランニング See references/planner.md
並列シーン生成 See references/generator.md
視覚効果ライブラリ See references/visual-effects.md
AI画像生成 See references/image-generator.md
画像品質判定 See references/image-quality-check.md

Prerequisites

  • Remotion がセットアップ済み(/remotion-setup
  • Node.js 18+
  • (オプション)GOOGLE_AI_API_KEY - AI画像生成用

/generate-video フロー

/generate-video
    │
    ├─[Step 1] 分析(analyzer.md)
    │   ├─ フレームワーク検出
    │   ├─ 主要機能検出
    │   ├─ UIコンポーネント検出
    │   └─ プロジェクト資産解析(Plans.md, CHANGELOG等)
    │
    ├─[Step 2] シナリオ提案(planner.md)
    │   ├─ 動画タイプ自動判定
    │   ├─ シーン構成提案
    │   └─ ユーザー確認
    │
    ├─[Step 2.5] 素材生成(image-generator.md)← NEW
    │   ├─ 素材必要判定(イントロ、CTA等)
    │   ├─ Nano Banana Pro で2枚生成
    │   ├─ Claude が品質判定(image-quality-check.md)
    │   └─ OK → 採用 / NG → 再生成(最大3回)
    │
    └─[Step 3] 並列生成(generator.md)
        ├─ シーン並列生成(Task tool)
        ├─ 統合 + トランジション
        └─ 最終レンダリング

実行手順

  1. ユーザーが /generate-video を実行
  2. Remotion セットアップ確認
  3. analyzer.md でコードベース分析
  4. planner.md でシナリオ提案 + ユーザー確認
  5. generator.md で並列生成
  6. 完了報告

動画タイプ(ファネル別)

タイプ ファネル 長さ目安 自動判定条件 構成の芯
LP/広告ティザー 認知〜興味 30-90秒 新規プロジェクト 痛み→結果→CTA
Introデモ 興味→検討 2-3分 UI変更検出 1ユースケース完走
リリースノート 検討→確信 1-3分 CHANGELOG更新 Before/After重視
アーキテクチャ解説 確信→決裁 5-30分 大規模構造変更 実運用+証拠
オンボーディング 継続・活用 30秒-数分 初回セットアップ Aha体験への最短パス

Read the full file on GitHub · 179 lines

Files

What ships with it

60 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.

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. 5d ago First seen · 179 lines · 66 tokens per session scan A 1acb1f62d570

Subscribe to this mod's changes

generate-video is a skill published in the GitHub repository Chachamaru127/codex-harness (2 stars, last pushed 6mo ago), licensed MIT. It adds 66 tokens to every session and 2,135 once invoked, about $0.0003 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 2026-08-31.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens