Borrowing it
Nothing to install: this file belongs to Kinzen-dev/LineWhiz. 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/Kinzen-dev/LineWhiz/main/CLAUDE.mdgit clone --depth 1 https://github.com/Kinzen-dev/LineWhizWrote 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/kinzen-dev/linewhiz/claude-md)<a href="https://agentmods.dev/instructions/kinzen-dev/linewhiz/claude-md"><img src="https://agentmods.dev/badge/instructions/kinzen-dev/linewhiz/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/kinzen-dev/linewhiz/claude-md"><img src="https://agentmods.dev/badge/instructions/kinzen-dev/linewhiz/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 | $0.02351 | $0.02351 |
| Opus 5.5 | $0.00940 | $0.00940 |
| Sonnet 5.5 | $0.00470 | $0.00470 |
| Haiku 4.5 | $0.00235 | $0.00235 |
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 2mo 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 — 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
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.
- 2mo ago First seen · 266 lines · 2,351 tokens per session scan A 2f26432f87e9
LineWhiz CLAUDE.md is an instructions file published in the GitHub repository Kinzen-dev/LineWhiz (0 stars, last pushed 7mo ago), licensed MIT. It adds 2,351 tokens to every session, about $0.0094 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 2026-08-31.
LineWhiz CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| LineWhiz CLAUDE.mdKinzen-dev/LineWhiz | Instructions file | 0 | 7mo ago | MIT | A | 2,351 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
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| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| vscode model-prompts.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 2,022 | GitHub Copilot |