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.
git clone --depth 1 https://github.com/Bilal140202/the-lord-of-the-skillsWrote 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/rules/bilal140202/the-lord-of-the-skills/fastapi)<a href="https://agentmods.dev/rules/bilal140202/the-lord-of-the-skills/fastapi"><img src="https://agentmods.dev/badge/rules/bilal140202/the-lord-of-the-skills/fastapi/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/rules/bilal140202/the-lord-of-the-skills/fastapi"><img src="https://agentmods.dev/badge/rules/bilal140202/the-lord-of-the-skills/fastapi.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 | $0.00000 | $0.02132 |
| Opus 5 | $0.00000 | $0.01066 |
| Sonnet 5 | $0.00000 | $0.00426 |
| Haiku 4.5 | $0.00000 | $0.00213 |
Grade A, and why
fastapi 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.
This is a copy
100% identical to fastapi — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 383 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FastAPI Best Practices
Overview
| Aspect | Recommendation |
|---|---|
| Validation | Pydantic v2 |
| Database | SQLAlchemy 2.0 async or asyncpg |
| Auth | OAuth2 with JWT |
| Docs | Auto-generated OpenAPI |
Project Structure
app/
├── main.py # FastAPI application
├── config.py # Settings
├── database.py # Database connection
├── dependencies.py # Shared dependencies
├── models/ # SQLAlchemy models
│ ├── __init__.py
│ └── user.py
├── schemas/ # Pydantic schemas
│ ├── __init__.py
│ └── user.py
├── routers/ # API routes
│ ├── __init__.py
│ └── users.py
├── services/ # Business logic
│ └── user_service.py
└── utils/
└── security.py
Application Setup
Main Application
# app/main.py
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from contextlib import asynccontextmanager
from app.routers import users, posts
from app.database import init_db
@asynccontextmanager
async def lifespan(app: FastAPI):
# Startup
await init_db()
yield
# Shutdown
# cleanup here
app = FastAPI(
title="My API",
version="1.0.0",
lifespan=lifespan,
)
app.add_middleware(
CORSMiddleware,
allow_origins=["http://localhost:3000"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
app.include_router(users.router, prefix="/api/users", tags=["users"])
app.include_router(posts.router, prefix="/api/posts", tags=["posts"])
Configuration
# app/config.py
from pydantic_settings import BaseSettings
from functools import lru_cache
class Settings(BaseSettings):
database_url: str
secret_key: str
algorithm: str = "HS256"
access_token_expire_minutes: int = 30
model_config = {"env_file": ".env"}
@lru_cache
def get_settings() -> Settings:
return Settings()
Pydantic Schemas
Request/Response Models
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 · 383 lines · 0 tokens per session scan A e800ceaa2858
fastapi is a cursor rule published in the GitHub repository Bilal140202/the-lord-of-the-skills (4 stars, last pushed 6d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,132 tokens. A static security scan graded it A with 0 findings. It is 100% identical to fastapi, differing in 0 lines, and is treated as a copy.
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