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/AGENTS.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/agents-md)<a href="https://agentmods.dev/instructions/wjt0321/china-stock-analyst/agents-md"><img src="https://agentmods.dev/badge/instructions/wjt0321/china-stock-analyst/agents-md.svg" alt="Measured on agentmods" 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 | $0.01085 | $0.01085 |
| Opus 5 | $0.00543 | $0.00543 |
| Sonnet 5 | $0.00217 | $0.00217 |
| Haiku 4.5 | $0.00109 | $0.00109 |
Grade A, and why
china-stock-analyst 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 — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
专家 Agent 定义说明文档。
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。
当前项目以 Tauri + Python Sidecar 桌面端 为主要运行形态，同时保留原 Claude Code Skill 的核心脚本与专家定义作为后端分析能力。
当前版本：v3.2.0
专家角色列表
| 编号 | 角色 | 分析重点 | Agent 文件 |
|---|---|---|---|
| 00 | 数据审计专家 | 日期回退、时间戳冲突、来源类别充分性 | agents/stock-data-auditor.md |
| 01 | 基本面大师 | 财务数据、估值、行业地位 | agents/stock-fundamental-expert.md |
| 02 | 技术分析派 | K线形态、均线、MACD、KDJ、短线指标 | agents/stock-technical-expert.md |
| 03 | 量化模型师 | 数据驱动、因子分析、资金流向 | agents/stock-quant-flow-expert.md |
| 04 | 风险控制官 | 下行风险、仓位管理、止损位 | agents/stock-risk-expert.md |
| 05 | 宏观策略师 | 政策面、资金面、市场周期 | agents/stock-macro-expert.md |
| 06 | 行业研究家 | 行业景气、竞争格局、驱动因子 | agents/stock-industry-researcher.md |
| 07 | 消息面猎手 | 公告政策、监管信号、事件冲击 | agents/stock-event-hunter.md |
| 08 | 专家鉴别Agent | 身份校验、标的一致性、价格锚点偏差 | agents/stock-identity-auditor.md |
Agent 文件格式
每个 Agent 定义文件（.md）包含以下字段：
---
name: stock-xxx-expert
version: "3.1.0"
schema_version: "v2"
description: 专家描述
category: fundamental/technical/flow/industry/event/risk
---
# 专家角色说明
## 分析重点
...
## 输出 Schema
...
执行顺序
Team-First 模式下的固定执行顺序：
stock-data-auditor- 数据真实性审计（前置门禁）stock-fundamental-expert- 基本面分析stock-technical-expert- 技术分析stock-quant-flow-expert- 量化分析stock-risk-expert- 风险评估stock-macro-expert- 宏观分析stock-industry-researcher- 行业研究stock-event-hunter- 事件驱动stock-identity-auditor- 身份校验（后置门禁）
插件扩展
除了预置的 Agent，还支持自定义专家插件：
位置：plugins/expert/
示例插件：
technical_indicators_plugin.py- 技术指标分析插件fund_flow_plugin.py- 资金流向分析插件
创建自定义插件：
from scripts.plugin_base import ExpertPlugin, PluginContext, PluginResult
class MyExpertPlugin(ExpertPlugin):
name = "my_expert"
version = "1.0.0"
category = "custom"
def can_handle(self, context: PluginContext) -> bool:
return "自定义" in context.request
def execute(self, context: PluginContext) -> PluginResult:
return PluginResult(success=True, content="分析结果")
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 · 106 lines · 1,085 tokens per session scan A 5487aeae1787
china-stock-analyst AGENTS.md is an instructions file published in the GitHub repository wjt0321/china-stock-analyst (45 stars, last pushed 2mo ago), licensed MIT. It adds 1,085 tokens to every session, about $0.0054 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.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.