Borrowing it
Nothing to install: this file belongs to shangyankeji/zhixun. 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/shangyankeji/zhixun/main/AGENTS.mdgit clone --depth 1 https://github.com/shangyankeji/zhixunWrote 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/shangyankeji/zhixun/agents-md)<a href="https://agentmods.dev/instructions/shangyankeji/zhixun/agents-md"><img src="https://agentmods.dev/badge/instructions/shangyankeji/zhixun/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/shangyankeji/zhixun/agents-md"><img src="https://agentmods.dev/badge/instructions/shangyankeji/zhixun/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 | $0.03092 | $0.03092 |
| Opus 5.5 | $0.01237 | $0.01237 |
| Sonnet 5.5 | $0.00618 | $0.00618 |
| Haiku 4.5 | $0.00309 | $0.00309 |
Grade A, and why
zhixun 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 2mo 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 — 320 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
This file provides guidance to Qoder (qoder.com) when working with code in this repository.
项目概述
销冠培养系统 & 社恐培养系统 - 基于 Agent 模拟的销售和社交能力培训平台。
技术栈:
- 前端: Next.js 16 (App Router) + React 19 + TypeScript + Tailwind CSS 4
- 后端: FastAPI + Python 3.11+ + SQLAlchemy (AsyncIO) + Alembic
- 数据库: PostgreSQL + Redis
- AI: 阿里云百炼 (DashScope) - 通义千问系列模型 + Qwen-Omni 实时语音
- 状态管理: Zustand (持久化存储)
- UI 组件: Lucide React 图标库 + 自定义组件
- 任务队列: Celery (可选)
开发命令
环境启动
# 启动数据库服务 (PostgreSQL + Redis)
make db
# 启动后端开发服务器 (需要在新终端中运行)
make backend
# 或直接运行:
cd backend && source .venv/bin/activate && uvicorn app.main:app --reload --host 0.0.0.0 --port 8111
# 启动前端开发服务器 (需要在新终端中运行)
make frontend
# 或直接运行:
cd frontend && npm run dev
依赖安装
# 安装所有依赖 (后端 + 前端)
make install
# 仅安装后端依赖
cd backend && python -m venv .venv && source .venv/bin/activate && pip install -r requirements-dev.txt
# 仅安装前端依赖
cd frontend && npm install
数据库迁移
# 运行数据库迁移
make migrate
# 或: cd backend && source .venv/bin/activate && alembic upgrade head
# 创建新迁移文件
make migrate-new
# 或: cd backend && source .venv/bin/activate && alembic revision --autogenerate -m "描述"
# 初始化种子数据 (管理员、场景、课程等)
make seed
# 或手动运行:
# cd backend && source .venv/bin/activate
# python scripts/seed_data.py # 基础数据
# python -m scripts.seed_scenarios_full # 30个训练场景
# python -m scripts.seed_all # 课程、挑战等
测试
# 运行所有测试
make test
# 仅运行后端测试
make test-backend
# 或: cd backend && source .venv/bin/activate && pytest -v
代码质量检查
# 运行 linter (后端 + 前端)
make lint
# 后端代码检查
cd backend && source .venv/bin/activate && ruff check app
# 前端代码检查
cd frontend && npm run lint
# 格式化代码
make format
# 后端: cd backend && source .venv/bin/activate && ruff format app
# 前端: cd frontend && npm run lint -- --fix
构建
# 前端构建
cd frontend && npm run build
# 前端生产运行
cd frontend && npm run start
清理
# 清理临时文件和缓存
make clean
# 停止所有 Docker 服务
make stop
项目架构
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.
- 2mo ago First seen · 320 lines · 3,092 tokens per session scan A 7999ef84da69
zhixun AGENTS.md is an instructions file published in the GitHub repository shangyankeji/zhixun (26 stars, last pushed 10mo ago), licensed MIT. It adds 3,092 tokens to every session, about $0.0124 per session on Opus 5.5. 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.
zhixun AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| zhixun AGENTS.mdshangyankeji/zhixun | Instructions file | 26 | 10mo ago | MIT | A | 3,092 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| vscode model-prompts.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 2,022 | GitHub Copilot |