Borrowing it
Nothing to install: this file belongs to 410417122/ashare-ai. 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/410417122/ashare-ai/main/CLAUDE.mdgit clone --depth 1 https://github.com/410417122/ashare-aiWrote 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/410417122/ashare-ai/claude-md)<a href="https://agentmods.dev/instructions/410417122/ashare-ai/claude-md"><img src="https://agentmods.dev/badge/instructions/410417122/ashare-ai/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/410417122/ashare-ai/claude-md"><img src="https://agentmods.dev/badge/instructions/410417122/ashare-ai/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 | $0.00979 | $0.00979 |
| Opus 5 | $0.00490 | $0.00490 |
| Sonnet 5 | $0.00196 | $0.00196 |
| Haiku 4.5 | $0.00098 | $0.00098 |
Grade A, and why
ashare-ai 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 — 127 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
AShare AI 是一个 Claude Code Skill,提供 A股量化交易功能。使用 Tushare Pro 获取数据,Backtrader 进行回测。
架构
ashare-ai/
├── ashare-plugin/ # Claude Code 插件
│ ├── .claude-plugin/ # 插件元数据
│ │ └── plugin.json # 插件配置
│ └── skills/ashare/ # Skill 文档 (*.md 文件)
│ ├── SKILL.md # 主入口文件
│ ├── data-reference.md
│ ├── factor-examples.md
│ ├── dataframe-reference.md
│ ├── factor-analysis-reference.md
│ ├── machine-learning-reference.md
│ ├── best-practices.md
│ ├── debugging-guide.md
│ ├── known-issues.md
│ ├── context7-guide.md
│ ├── data-bridge.md
│ └── ashare-rules.md
├── .claude-plugin/ # 市场注册
│ └── marketplace.json
├── README.md
├── CLAUDE.md
└── .gitignore
安装方法
全局安装(推荐)
# 用户只需告诉 Claude:
# "请全局安装 https://github.com/410417122/ashare-ai"
# Claude 会自动执行:
# 1. 添加 marketplace
claude plugin marketplace add 410417122/ashare-ai
# 2. 安装插件(默认为全局安装)
claude plugin install ashare-plugin@ashare-plugins
全局安装后,在任何项目中都可以使用 /ashare skill,无需重复安装。
更新插件
# 更新 marketplace
claude plugin marketplace update ashare-plugins
# 更新插件
claude plugin update ashare-plugin@ashare-plugins
文档文件
所有 skill 文档位于 ashare-plugin/skills/ashare/:
| 文件 | 用途 |
|---|---|
| SKILL.md | 主入口、执行哲学、快速开始 |
| data-reference.md | Tushare Pro 数据接口参考 |
| factor-examples.md | 60+ 完整策略示例 |
| dataframe-reference.md | DataFrame 工具方法 |
| factor-analysis-reference.md | 因子分析方法 |
| machine-learning-reference.md | 机器学习功能 |
| best-practices.md | 最佳实践、反模式预防 |
| debugging-guide.md | 调试指南和常见问题 |
| known-issues.md | 已知问题和解决方案 |
| context7-guide.md | Context7 文档查询指南 |
| data-bridge.md | 数据桥接和转换 |
| ashare-rules.md | A股特殊规则(T+1、涨跌停等) |
执行哲学
来自 SKILL.md - 当用户请求回测或数据时:
- 执行代码并展示结果,不要让用户自己运行代码
- 生成文件后自动打开
- 遇到错误要调试修复,不要只报告错误
- 不确定的接口必须用 Context7 查询官方文档
核心原则
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 · 127 lines · 979 tokens per session scan A 090fd3275844
ashare-ai CLAUDE.md is an instructions file published in the GitHub repository 410417122/ashare-ai (22 stars, last pushed 7mo ago), licensed MIT. It adds 979 tokens to every session, about $0.0049 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.