Borrowing it
Nothing to install: this file belongs to antinomie1/maimai-mcp. 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/antinomie1/maimai-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/antinomie1/maimai-mcpWrote 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/antinomie1/maimai-mcp/agents-md)<a href="https://agentmods.dev/instructions/antinomie1/maimai-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/antinomie1/maimai-mcp/agents-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/antinomie1/maimai-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/antinomie1/maimai-mcp/agents-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 | $0.02460 | $0.02460 |
| Opus 5 | $0.01230 | $0.01230 |
| Sonnet 5 | $0.00492 | $0.00492 |
| Haiku 4.5 | $0.00246 | $0.00246 |
Grade A, and why
maimai-mcp AGENTS.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 8d 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 — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Maimai DX MCP Server (Rust Architecture Specification)
本文档定义了将 Python 原版 maimaiDX 项目重构为高性能、模块化、代码精简的 Rust MCP 工具集的设计规范与实现蓝图。
1. 系统目标与设计原则
- 通俗易懂与极简代码:
- 杜绝过度工程和过深的抽象层,以简单、直观的函数式和轻量结构体驱动。
- 整体代码量严格控制在 10,000 行以内。
- 高性能与多线程:
- 使用异步 I/O (
tokio) 高并发处理查分网(水鱼 DivingFish / 落雪 LXNS / 柚子别名 Yuzuchan)的 HTTP 请求与数据同步。 - 图片渲染阶段使用 CPU 多线程并发流水线(
rayon并行拼图和加载素材),大幅降低 B50 / 进度表渲染延迟。
- 使用异步 I/O (
- 像素级绝对坐标对齐:
- 采用纯 Rust 图像引擎(
image+imageproc+ab_glyph),严格按照原 PIL 脚本的绝对像素坐标(x, y)贴图与绘制文字。 - 静态资源路径完全兼容原项目规范,支持
MAIMAI_STATIC_DIR环境变量与配置文件路径覆盖。
- 采用纯 Rust 图像引擎(
- LLM 与 AstrBot 友好:
- 自动支持上下文提取 QQ 号,统一入参标准。
- 接口支持输出纯文本、Base64 图片(MCP 标准 Image Content Block)及本地图片文件路径,无缝兼容 QQ 机器人消息发送。
2. 模块架构设计
src/
├── main.rs # 服务入口、MCP Server 启动与 stdio 传输监听
├── config.rs # 环境变量与资源路径配置 (MAIMAI_STATIC_DIR 等)
├── error.rs # 统一轻量错误处理
│
├── core/
│ ├── models/ # 领域模型定义
│ │ ├── music.rs # 曲目、谱面、等级与别名结构
│ │ ├── score.rs # 成绩、分段、Rating 与 DX 分计算
│ │ └── user.rs # 用户配置、绑定信息与凭据
│ │
│ ├── database/ # 本地数据存储与缓存
│ │ ├── music_db.rs # 曲目库与谱面缓存索引
│ │ ├── alias_db.rs # 别名数据库与模糊匹配
│ │ └── user_store.rs # 按 QQ 号隔离的用户配置存储 (JSON)
│ │
│ ├── clients/ # 外部查分服务客户端 (Reqwest 异步请求)
│ │ ├── divingfish.rs # 水鱼查分网 API Client
│ │ ├── lxns.rs # 落雪查分网 API Client
│ │ └── yuzuchan.rs # 柚子查分/别名数据源 Client
│ │
│ └── calc/ # 游戏数值算法
│ ├── rating.rs # 单曲 Rating、B50 算法 (35 旧 + 15 新)
│ └── progress.rs # 牌子、完成度、段位进度统计
│
├── draw/ # 纯 Rust 绝对坐标绘图引擎 (image + ab_glyph + rayon)
│ ├── assets.rs # 字体与图片素材加载/缓存管理器
│ ├── canvas.rs # 坐标贴图、文字度量与绘制辅助器
│ ├── b50.rs # B50 成绩总览图生成
│ ├── play_score.rs # 单曲成绩结算卡片生成
│ ├── chart_info.rs # 谱面信息预览卡片生成
│ ├── level_progress.rs # 定数/等级完成度表生成
│ ├── plate_table.rs # 牌子(霸者/舞舞/将/极/神等)进度表生成
│ ├── rating_table.rs # Rating 达成表生成
│ └── fortune.rs # 每日舞萌运势图生成
│
└── tools/ # 供 LLM 调用的 MCP Tool 路由定义
├── b50.rs # b50 查询与出图
├── score.rs # 单曲成绩、分数线、上分推荐 (play_score / rise_score)
├── music.rs # 曲目搜索、谱面信息、别名检索 (search_song / chart_info / alias)
├── random.rs # 随机选曲、今天吃什么 (random_song / mai_what)
├── progress.rs # 完成度与牌子进度 (level_progress / plate_table / level_score_list)
├── user.rs # 绑定用户、查分源切换 (bind_player / user_settings)
├── fortune.rs # 今日运势 (fortune)
└── group_rank.rs # 群内综合排行 (group_rank)
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.
- 8d ago First seen · 156 lines · 2,460 tokens per session scan A f481ba418b71
maimai-mcp AGENTS.md is an instructions file published in the GitHub repository antinomie1/maimai-mcp (0 stars, last pushed 6d ago), licensed BSD-2-Clause. It adds 2,460 tokens to every session, about $0.0123 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 2026-09-01.
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.