LineWhiz CLAUDE.md

LineWhiz CLAUDE.md is an instructions file for coding agents from Kinzen-dev/LineWhiz. It costs 2,351 tokens per session, scanned A, original, MIT.

A project instruction file for Claude Code, an AI coding assistant, describing the LineWhiz product, its strategy, technology choices, and file structure.

In plain words
What is it for?
Use it when developing LineWhiz, an MCP server that lets AI tools manage LINE Official Accounts through the LINE API.
Why use it?
It gives the coding assistant a shared reference for how the project should be built and documented.

Instructions file

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 instructions/kinzen-dev/linewhiz/claude-md
Clone the repo
git clone --depth 1 https://github.com/Kinzen-dev/LineWhiz

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 LineWhiz CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/kinzen-dev/linewhiz/claude-md.svg)](https://agentmods.dev/instructions/kinzen-dev/linewhiz/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/kinzen-dev/linewhiz/claude-md"><img src="https://agentmods.dev/badge/instructions/kinzen-dev/linewhiz/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 2,351 This file is loaded in full into every session.
When invoked 2,351 The same file — it is already loaded in full.
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 $0.02351 $0.02351
Opus 5 $0.01175 $0.01175
Sonnet 5 $0.00470 $0.00470
Haiku 4.5 $0.00235 $0.00235

Measured 4d ago against content hash 2f26432f87e9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

LineWhiz 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 4d 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.md · 266 lines

How it starts

The opening of the file, as written. The whole thing — 266 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md — LineWhiz

Read this FIRST before writing any code. This is the single source of truth.

What is LineWhiz

Premium MCP server that lets AI agents manage LINE Official Accounts. Users type natural language in Claude/ChatGPT/Cursor → LineWhiz calls LINE API.

Strategy

  • English-first. All code, docs, responses, listings in English.
  • Global market. LINE is used in Japan (95M), Thailand (56M), Taiwan (21M).
  • Pricing: Free / $15/mo (Pro) / $45/mo (Business) — in USD.
  • Tool responses in English. MCP client auto-translates for local users.
  • Do NOT hardcode Thai/Japanese strings anywhere.

Tech Stack

Python 3.11+ | mcp SDK v1.2+ | line-bot-sdk | httpx (async) | pydantic | aiosqlite | pytest + pytest-asyncio | ruff | mypy strict | uv | Docker → Railway.app

Project Structure

linewhiz/
├── CLAUDE.md
├── pyproject.toml
├── Dockerfile
├── .env.example
├── README.md
├── src/
│   ├── server.py          # MCP entry point + tool registration
│   ├── config.py          # Env config via pydantic Settings
│   ├── auth/
│   │   ├── api_keys.py    # Key validation (SHA-256 hash lookup)
│   │   └── tiers.py       # Free/Pro/Business gating + rate limits
│   ├── tools/
│   │   ├── account.py     # get_account_info, get_friend_count, get_message_quota
│   │   ├── messaging.py   # send_broadcast, send_push, send_multicast, send_narrowcast
│   │   ├── richmenu.py    # list/create/set/link rich menus
│   │   ├── insights.py    # get_message_stats, get_audience_insights
│   │   ├── automation.py  # [future] auto-reply, flex message
│   │   └── reporting.py   # [future] weekly report
│   ├── services/
│   │   ├── line_api.py    # Async LINE API wrapper (all HTTP calls go through here)
│   │   └── flex_builder.py
│   ├── models/
│   │   ├── user.py        # Pydantic models for API key + tier
│   │   └── usage.py       # Usage log model
│   └── db/
│       └── database.py    # SQLite async init + migrations
├── tests/
│   ├── conftest.py
│   ├── test_account.py
│   ├── test_messaging.py
│   ├── test_richmenu.py
│   └── test_auth.py
└── docs/
    ├── architecture.md
    ├── PRD.md
    ├── linewhiz-spec.md
    └── market-analysis.md

Read the full file on GitHub · 266 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. 4d ago First seen · 266 lines · 2,351 tokens per session scan A 2f26432f87e9

Subscribe to this mod's changes

LineWhiz CLAUDE.md is an instructions file published in the GitHub repository Kinzen-dev/LineWhiz (0 stars, last pushed 5mo ago), licensed MIT. It adds 2,351 tokens to every session, about $0.0118 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.

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