CodeAppsDevelopmentStandard: Skill for Claude Code

.github/skills/video-creator/SKILL.md

video-creator is a skill for Claude Code, Codex from geekfujiwara/CodeAppsDevelopmentStandard. It costs 98 tokens per session (2,050 once invoked), scanned A, original, MIT.

A workflow for making business demonstration videos from real screen recordings and screenshots. It covers arranging the material, showing the work process, and preparing the final video.

In plain words
What is it for?
It is for producing screen-first product demos, editing and compressing recordings, adding titles or diagrams, and showing the resulting files.
Why use it?
It helps distinguish real recorded features from placeholders and keeps important source details and review points visible.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

This is geekfujiwara/CodeAppsDevelopmentStandard's own configuration. It tells Claude Code and Codex how to work on CodeAppsDevelopmentStandard itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything CodeAppsDevelopmentStandard configures →

Reuse

Borrowing it

Nothing to install: this file belongs to geekfujiwara/CodeAppsDevelopmentStandard. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/geekfujiwara/CodeAppsDevelopmentStandard/main/.github/skills/video-creator/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/geekfujiwara/CodeAppsDevelopmentStandard

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 video-creator

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/geekfujiwara/codeappsdevelopmentstandard/video-creator"><img src="https://agentmods.dev/badge/skills/geekfujiwara/codeappsdevelopmentstandard/video-creator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 98 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,050 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.
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 $0.00098 $0.02050
Opus 5.5 $0.00039 $0.00820
Sonnet 5.5 $0.00020 $0.00410
Haiku 4.5 $0.00010 $0.00205

Measured 5d ago against content hash 3c1c446d883f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

video-creator 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 27 executable files (assets/templates/record-demo.mjs, scripts/browser-capture.js, scripts/build_hyperframes.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.

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.

.github/skills/video-creator/SKILL.md · 95 lines

How it starts

The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.

video-creator

GitHub Copilot / VS Codeで実録画・実画面から業務デモを制作する。 全生成物はSkillではなく、別の承認済み作業フォルダーに置く。 利用時に組織の規程・過去の成功例・Teams / Outlook / SharePoint の業務文脈を確認する。 取得できない重要な前提は本人へ確認し、成果物にも要確認として残す。

Step 1. 素材・範囲・証拠を確認

目的・対象者・尺・使用素材を確認し、既に指定されたことは聞き直さない。 実録画は inspect_video.py で全体と候補区間を読む。 新規のWeb撮影は本人指定のプロファイル・対象ページ・操作範囲を確認し、 既存のVS Code統合ブラウザーだけを使う。別ブラウザーのインストール・起動はしない。 依頼文、収集、本人承認、登録・変更の完了を区別する。未収録機能は、追加素材を待つ・省略する・ 「運用イメージ」と明示する選択を確認し、実行済みと偽らない。 Python / Pillow / numpy / ffmpeg が必要。不足時は明示し、依存に沿って承認を得る。

Step 2. 共通テンプレートから開始

画面中心制作に沿い、既存の 共通Scaffolderで screen-first / two-personas / development-story を空の私用作業フォルダーへ生成する。 変数は .env.example に宣言済み。まず --dry-run で対象とNextを確認する。 初期テンプレートは模式図だけのレイアウト確認であり、アプリの実演ではない。 実素材を追加するまで --layout-preview を明示し、本番検証とは区別する。 開発動画は VS Code導線に沿い、実際に https://github.com/geekfujiwara/CodeAppsDevelopmentStandard クイックスタートして から開始し、Skill取得→資料・Teams文字起こしから要件→雛形Scaffold→必要な差分→ローカル検証を収録する。 営業テンプレートは code-apps/templates/sales-crm と cowork/templates/sales-crm-plugin を別に示す。 WindowsのCLI送信は制限事項を含む1つの単一行引数とし、実際に送られた文面を確認する。

Step 3. 実素材を配置して、元画像からズーム

import_recording.py で元解像度・時刻・ハッシュ・トリムを保持して取り込む。 形式に沿い、5秒タイトル→全体工程→実画面→成果物→メリットを構成する。 2役割はタイトル後に両者を紹介し、最初の役割を終えてから次へ切り替える。 概要は rows で役割ごとに独立した上下2行の工程表にする。役割をまたぐ矢印や共通ハブにしない。 短縮依頼は 短尺編集に沿い、待機・繰り返しの遷移を別カットで省く。 指定尺は evidence.duration_range_seconds に記録し、タイトルを含む計画と完成MP4の両方で満たす。 見出し・現在地は上部、実画面は大きく、必要な文字・カード・ボタン全体と元の文脈を残す。 切り取り枠の内側に全方向32出力px以上を確保する。縮小済み画像を拡大せず毎フレーム元画像を参照する。 読み込み・オンボーディングを結果の代わりにせず、最後は読める完成結果で静止する。 既定は無音・字幕なし、左説明欄・下部説明・場面番号・出典フッターなし。

Step 4. レビュー・書き出し・検証

Skillの絶対パスで prepare_video.py --project <job> --series demo --revision v1 --source、 render_video.py <plan> <new.mp4> --project <job> --stills 1,8,16 --grid を実行してレビューする。 問題を直してから --stills を外す。長い映像は --part-seconds 30、キャッシュ署名を維持して再開する。 verify_video.py <plan> --project <job> --video <new.mp4> で尺・形式・全デコード・場面・余白・ 原本ハッシュと時刻を検証する。重要結果は result_region を指定し、元の最後のフレームと完成MP4の 結果領域がともに非空か確認する。完成映像の全体・拡大・結果を目視し、未検証を成功扱いしない。 短い静止画も中間時点だけでなく、ズーム終了後の最終状態で見出し・箇条書き・元画像の余白を確認する。

Read the full file on GitHub · 95 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 · 95 lines · 98 tokens per session scan A 3c1c446d883f

Subscribe to this mod's changes

video-creator is a skill published in the GitHub repository geekfujiwara/CodeAppsDevelopmentStandard (78 stars, last pushed yesterday), licensed MIT. It adds 98 tokens to every session and 2,050 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-11-01.

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