Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add rules/cnwinds/ai-detective/backend-developmentgit clone --depth 1 https://github.com/cnwinds/ai-detectiveWhat 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 | $0.00000 | $0.06157 |
| Opus 5 | $0.00000 | $0.03078 |
| Sonnet 5 | $0.00000 | $0.01231 |
| Haiku 4.5 | $0.00000 | $0.00616 |
Grade A, and why
backend-development 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 2d 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 — 886 lines — stays where its author put it; the contents beside it link to each section on GitHub.
后端开发规范
项目结构和架构原则
后端包结构规范
- 后端包结构: 所有后端代码在backend包中,确保
__init__.py存在 - 相对导入: 后端模块间使用相对导入:
from .module_name import ClassName - 启动脚本: 使用绝对导入:
from backend.module_name import ClassName - 工具脚本: 所有工具脚本放置在
tools/目录下 - 启动方式: 必须在项目根目录运行
python start_game.py
开发原则
- DRY原则: 避免重复代码,提取公共逻辑
- 单一职责: 每个函数/类只完成一个明确的功能
- 对象封装: 使用数据对象简化函数参数
- 业务逻辑内聚: 相关逻辑封装在同一个类中
命名约定
- Python: 蛇形命名法 (snake_case)
- 文件命名: 小写字母加下划线,描述性命名
- 类命名: 帕斯卡命名法 (PascalCase)
- 常量命名: 全大写加下划线 (UPPER_SNAKE_CASE)
FastAPI应用架构
标准应用结构
# backend/app.py - 主应用入口
from fastapi import FastAPI, HTTPException
from fastapi.middleware.cors import CORSMiddleware
from fastapi.staticfiles import StaticFiles
from .routes import game, admin, history, websocket, common
app = FastAPI(title="AI侦探游戏", version="1.6.0")
# 中间件配置
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
# 路由注册
app.include_router(game.router, prefix="/api/game", tags=["游戏"])
app.include_router(admin.router, prefix="/api/admin", tags=["管理"])
app.include_router(history.router, prefix="/api/history", tags=["历史"])
app.include_router(websocket.router, prefix="/ws", tags=["WebSocket"])
app.include_router(common.router, prefix="/api", tags=["通用"])
# 静态文件服务
app.mount("/", StaticFiles(directory="frontend", html=True), name="static")
路由模块化
# backend/routes/game.py
from fastapi import APIRouter, HTTPException, Depends
from ..models import QuestionRequest, GameResponse
from ..game_engine import GameEngine
router = APIRouter()
@router.post("/start", response_model=GameResponse)
async def start_game(case_id: str):
"""开始新游戏会话"""
try:
game_engine = GameEngine(case_id)
session_id = game_engine.create_session()
return GameResponse(
success=True,
data={"session_id": session_id, "case": game_engine.get_case_info()}
)
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))
@router.post("/question", response_model=GameResponse)
async def ask_question(request: QuestionRequest):
"""向角色提问"""
try:
# 获取游戏会话
if request.session_id not in game_sessions:
raise HTTPException(status_code=404, detail="游戏会话不存在")
game_engine = game_sessions[request.session_id]
# 异步处理AI响应
response = await game_engine.process_question(
request.character_name,
request.question
)
return GameResponse(success=True, data=response)
except Exception as e:
logger.error(f"处理问题时出错: {str(e)}")
return GameResponse(success=False, error=str(e))
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.
- 2d ago First seen · 886 lines · 0 tokens per session scan A d6ab9a9d4b07
backend-development is a cursor rule published in the GitHub repository cnwinds/ai-detective (6 stars, last pushed 1y ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 6,157 tokens. 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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