Borrowing it
Nothing to install: this file belongs to kazakago/cc-mascot. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/kazakago/cc-mascot/main/CLAUDE.mdgit clone --depth 1 https://github.com/kazakago/cc-mascotWrote 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/instructions/kazakago/cc-mascot/claude-md)<a href="https://agentmods.dev/instructions/kazakago/cc-mascot/claude-md"><img src="https://agentmods.dev/badge/instructions/kazakago/cc-mascot/claude-md/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/instructions/kazakago/cc-mascot/claude-md"><img src="https://agentmods.dev/badge/instructions/kazakago/cc-mascot/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.01347 | $0.01347 |
| Opus 5 | $0.00674 | $0.00674 |
| Sonnet 5 | $0.00269 | $0.00269 |
| Haiku 4.5 | $0.00135 | $0.00135 |
Grade A, and why
cc-mascot CLAUDE.md 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CC Mascot - 技術ドキュメント
プロジェクト概要
AIコーディングエージェントを擬人化するためのVRMキャラクターシステム
このアプリケーションは、AIコーディングエージェントの発言をリアルタイムで音声化し、3DのVRMキャラクターでビジュアル化するためのElectronアプリケーションです。
対応AIコーディングエージェント: Claude Code / Codex / Gemini CLI / Antigravity
コンセプト
- オフライン動作: ローカル環境で完結、インターネット接続不要
- 日本語専用: 日本語の音声合成とルールベース感情分析に最適化
- プラグイン不要: ログファイル監視による自動連携(Claude Codeはオプションでプラグイン連携も可能)
- シンプルな構成: Electron + React + Three.js + VRM
技術スタック
- Electron (デスクトップアプリ化)
- React + TypeScript + Vite (フロントエンド)
- Three.js + @react-three/fiber (3Dレンダリング)
- @pixiv/three-vrm (VRMモデル対応)
- Web Audio API (音声解析・リップシンク)
- AivisSpeech / VOICEVOX (日本語TTS)
- chokidar (ログファイル監視)
アーキテクチャ概要
プロセス構成とデータフロー
本アプリは Electron の Main プロセスと Renderer プロセスで構成されています。
-
ログ監視・解析 (Main プロセス)
chokidarで各AIエージェントのログディレクトリ(JSONL形式)を監視。- セッションフィルタリング(
active-sessionファイル)に基づき、特定セッションのみを発話対象に抽出。 HarnessAdapterを通じてログファイルの差分を読み取り、テキストを抽出。- フィルタリング(Markdown/HTMLタグ除去など)を施した上で、文単位に分割。
- 文ごとにルールベースで感情(happy, angry, sad, surprised, relaxed, neutral)を判定し、Renderer へ
speakイベントをIPC送信。
-
描画・音声再生 (Renderer プロセス)
- AivisSpeech / VOICEVOX (localhost:8564) APIを叩いて音声を生成。
- 音声キューで再生順序を保証しつつ、Web Audio API (
AnalyserNode) で音量を解析してリップシンク値を計算。 - VRMモデルにリップシンク(
aa表情)と判定された感情(表情・アニメーション)を適用して3D描画。
主要コンポーネント構成
- ログ監視・パース:
electron/logMonitor.ts,electron/adapters/,electron/parsers/ - 音声・リップシンク:
src/hooks/useSpeech.ts,src/hooks/useLipSync.ts - VRM描画・制御:
src/hooks/useVRM.ts,src/hooks/useVRMAnimation.ts,src/hooks/useCursorTracking.ts - セッションフィルタ:
electron/activeSessionMonitor.ts(プラグインplugin/を通じてactive-sessionを制御)
ディレクトリ構造
cc-mascot/
├── electron/ # Electronメインプロセス(ログ監視・解析・感情判定・IPC)
│ ├── adapters/ # HarnessAdapterインターフェース・各ハーネス実装
│ ├── parsers/ # ハーネスごとのログパーサー
│ ├── filters/ # テキストフィルタリング
│ └── services/ # 感情分類器など共通サービス
├── src/ # Electronレンダラープロセス(React + Three.js + VRM)
├── public/ # 静的アセット(VRMモデル・VRMAアニメーション)
├── plugin/ # Claude Codeプラグイン(セッションフィルタリング用)
├── docs/ # GitHub Pages LP
└── package.json
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.
- 9d ago First seen · 115 lines · 1,347 tokens per session scan A a8b9ddfc49d4
cc-mascot CLAUDE.md is an instructions file published in the GitHub repository kazakago/cc-mascot (7 stars, last pushed yesterday), licensed Apache-2.0. It adds 1,347 tokens to every session, about $0.0067 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.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.