Borrowing it
Nothing to install: this file belongs to juglans-ai/jug0. 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/juglans-ai/jug0/main/CLAUDE.mdgit clone --depth 1 https://github.com/juglans-ai/jug0Wrote 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/juglans-ai/jug0/claude-md)<a href="https://agentmods.dev/instructions/juglans-ai/jug0/claude-md"><img src="https://agentmods.dev/badge/instructions/juglans-ai/jug0/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/juglans-ai/jug0/claude-md"><img src="https://agentmods.dev/badge/instructions/juglans-ai/jug0/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 | $0.01860 | $0.01860 |
| Opus 5 | $0.00930 | $0.00930 |
| Sonnet 5 | $0.00372 | $0.00372 |
| Haiku 4.5 | $0.00186 | $0.00186 |
Grade A, and why
jug0 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 — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md — jug0 (AI Core Backend)
Tech Stack
Rust, Axum 0.7, SeaORM (PostgreSQL/MySQL/SQLite), async-openai, qdrant-client, DashMap, tokio
Build & Run
cargo build # 编译
cargo run # 启动 (默认 :3000)
RUST_LOG=jug0=debug cargo run # 带 debug 日志
cargo run -p migration -- up # 执行数据库迁移
cargo run -p migration -- status # 查看迁移状态
Project Structure
src/
├── main.rs # AppState 定义 + 路由注册 + 启动
├── auth.rs # JWT/API Key 验证中间件
├── errors.rs # AppError 统一错误类型
├── entities/ # SeaORM 实体
│ ├── chats.rs
│ ├── messages.rs # message_types / states / roles 常量
│ ├── agents.rs
│ ├── prompts.rs
│ ├── workflows.rs
│ └── handles.rs
├── handlers/
│ ├── chat/
│ │ ├── mod.rs # chat_handler, tool_result_handler, stop_chat_handler
│ │ ├── logic.rs # run_chat_stream() — 核心流式生成逻辑
│ │ ├── types.rs # 请求/响应类型, InternalStreamEvent, ToolResultPayload
│ │ └── helpers.rs # merge_tools, try_repair_json
│ ├── prompts.rs
│ ├── agents.rs
│ ├── workflows.rs
│ ├── messages.rs
│ ├── memories.rs
│ └── ...
├── providers/
│ ├── factory.rs # ProviderFactory (多 LLM 后端)
│ ├── openai.rs / deepseek.rs / qwen.rs / gemini.rs
│ └── embedding.rs
├── services/
│ ├── mcp.rs # MCP server-side tool 执行
│ ├── memory/ # 向量记忆 (Qdrant)
│ ├── qdrant.rs # Qdrant 客户端
│ ├── cache.rs # Redis 缓存
│ └── models.rs # 模型同步
└── repositories/ # Agent/Prompt 缓存仓库
AppState 关键字段
pub struct AppState {
pub db: DatabaseConnection,
pub providers: ProviderFactory,
pub active_requests: DashMap<Uuid, CancellationToken>, // 活跃请求 (用于 stop)
pub tool_result_channels: DashMap<Uuid, mpsc::Sender<Vec<ToolResultPayload>>>, // SSE ↔ tool-result 通信
pub mcp_client: McpClient,
pub signing_key: Vec<u8>, // Execution Token 签名密钥
pub cache: CacheService, // Redis
pub agent_repo: AgentRepository,
pub prompt_repo: PromptRepository,
// ... embedding, vector_db, memory, models
}
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 · 178 lines · 1,860 tokens per session scan A 27267a8f0f47
jug0 CLAUDE.md is an instructions file published in the GitHub repository juglans-ai/jug0 (2 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 1,860 tokens to every session, about $0.0093 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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