Borrowing it
Nothing to install: this file belongs to wjt0321/china-stock-analyst. 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/wjt0321/china-stock-analyst/main/CLAUDE.mdgit clone --depth 1 https://github.com/wjt0321/china-stock-analystWrote 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/wjt0321/china-stock-analyst/claude-md)<a href="https://agentmods.dev/instructions/wjt0321/china-stock-analyst/claude-md"><img src="https://agentmods.dev/badge/instructions/wjt0321/china-stock-analyst/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/wjt0321/china-stock-analyst/claude-md"><img src="https://agentmods.dev/badge/instructions/wjt0321/china-stock-analyst/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 | $0.03602 | $0.03602 |
| Opus 5 | $0.01801 | $0.01801 |
| Sonnet 5 | $0.00720 | $0.00720 |
| Haiku 4.5 | $0.00360 | $0.00360 |
Grade A, and why
china-stock-analyst 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 10d 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 — 378 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
项目概述
A股智能分析助手（china-stock-analyst）是一个 A 股短线交易分析工具。核心特点：「短线交易信号 + 营收质量」双轨研判体系，采用 Team-First 默认并行架构，支持插件化扩展、回测框架、策略优化。
当前项目以 Tauri 2 + Python Sidecar 桌面端 为主要运行形态，原 Claude Code Skill 脚本与专家定义作为后端分析能力继续保留。
当前版本：v3.2.0
运行测试
# 运行核心回归测试
python -m pytest tests/ -v
# 运行主测试
python -m pytest tests/test_stock_skill.py -v
# 运行集成测试
python -m pytest tests/test_integration.py -v
# 运行桌面端测试
python -m pytest desktop/tests -v
# 运行单个测试方法
python -m unittest tests.test_stock_skill.TestStockSkill.test_should_enable_agent_team_for_multi_stock_request -v
测试覆盖范围：路由判定、数据审计、专家鉴别、舆情治理、东方财富 API 集成、回测框架、插件系统、策略优化、归因分析、桌面端持久化与 Sidecar 命令。当前回归测试：145 项核心测试 + 62 项桌面端测试全部通过。
目录结构
china-stock-analyst/
├── README.md # 项目说明（桌面端使用入口）
├── CLAUDE.md # 开发者指南
├── requirements.txt # Python 依赖
├── config/
│ └── settings.json # 外置配置
├── desktop/ # Python Sidecar 服务
│ ├── service.py # Sidecar 主服务
│ ├── storage.py # SQLite 持久化
│ ├── data_fetcher.py # 多源数据获取
│ ├── analysis_engine.py # 分析引擎
│ ├── report_renderer.py # Markdown 报告渲染
│ ├── scrapling_adapters/ # Scrapling 数据源适配器
│ └── tests/ # 桌面端测试
├── src-tauri/ # Tauri 桌面端
│ ├── ui/ # React + Vite 前端
│ └── src/ # Rust 宿主代码
├── scripts/ # 原 Skill 核心脚本
│ ├── team_router.py # 执行模式路由、插件系统
│ ├── generate_report.py # 报告生成、数据解析、评分计算
│ ├── stock_utils.py # 股票验证、时间戳处理、东方财富 API 封装
│ ├── report_constants.py # 报告常量
│ ├── technical_indicators.py # 技术指标计算
│ ├── technical_report.py # 技术分析报告生成
│ ├── backtest_framework.py # 回测框架
│ ├── backtest_runner.py # 回测运行器
│ ├── akshare_adapter.py # AKShare 数据适配器
│ ├── strategy_optimizer.py # 策略参数优化器
│ ├── plugin_base.py # 插件抽象基类
│ ├── plugin_loader.py # 插件加载器
│ ├── config_loader.py # 配置加载器
│ └── platform_paths.py # 跨平台路径管理
├── plugins/
│ ├── __init__.py
│ └── expert/
│ ├── technical_indicators_plugin.py
│ └── fund_flow_plugin.py
├── agents/ # 预配置专家 Agent 定义
├── tests/ # 核心回归测试
├── stock-reports/ # 生成的 Markdown 报告
├── docs/
│ ├── archive/ # 历史文档归档（编号 01-06）
│ ├── plans/ # 实施计划
│ ├── superpowers/ # 设计规格
│ └── WINDOWS_SETUP.md # Windows 配置指南
└── assets/
└── 报告模板.md # Obsidian 风格报告模板
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.
- 10d ago First seen · 378 lines · 3,602 tokens per session scan A e3fdcba70367
china-stock-analyst CLAUDE.md is an instructions file published in the GitHub repository wjt0321/china-stock-analyst (45 stars, last pushed 2mo ago), licensed MIT. It adds 3,602 tokens to every session, about $0.0180 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 2026-08-30.
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.