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/rm2thaddeus/Pixel_DetectiveWrote 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/rm2thaddeus/pixel_detective/fastapi-dependency-injection)<a href="https://agentmods.dev/rules/rm2thaddeus/pixel_detective/fastapi-dependency-injection"><img src="https://agentmods.dev/badge/rules/rm2thaddeus/pixel_detective/fastapi-dependency-injection/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/rm2thaddeus/pixel_detective/fastapi-dependency-injection"><img src="https://agentmods.dev/badge/rules/rm2thaddeus/pixel_detective/fastapi-dependency-injection.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 | $0.01519 |
| Opus 5.5 | $0.00000 | $0.00608 |
| Sonnet 5.5 | $0.00000 | $0.00304 |
| Haiku 4.5 | $0.00000 | $0.00152 |
Grade A, and why
fastapi-dependency-injection 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 1mo 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 — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FastAPI Dependency Injection & Architecture Rules
🚨 CRITICAL: Prevent Circular Import Dependencies
Sprint 10 suffered from circular import issues between main.py and router files. ALWAYS use dependency injection.
✅ MANDATORY PATTERN: Dependency Injection
1. Dependencies Module Setup
# backend/dependencies.py
from qdrant_client import QdrantClient
from sentence_transformers import SentenceTransformer
class AppState:
"""Centralized application state container."""
def __init__(self):
self.qdrant_client: QdrantClient | None = None
self.ml_model: SentenceTransformer | None = None
self.active_collection: str | None = None
# Global instance - safe because it's explicitly typed
app_state = AppState()
# Dependency provider functions
def get_qdrant_client() -> QdrantClient:
"""Dependency function to get the initialized Qdrant client."""
if app_state.qdrant_client is None:
raise RuntimeError("Qdrant client has not been initialized.")
return app_state.qdrant_client
def get_ml_model() -> SentenceTransformer:
"""Dependency function to get the initialized ML model."""
if app_state.ml_model is None:
raise RuntimeError("ML model has not been initialized.")
return app_state.ml_model
def get_active_collection() -> str:
"""Dependency function to get the currently active collection name."""
if app_state.active_collection is None:
return "default_collection" # Or raise HTTPException
return app_state.active_collection
2. Main App Initialization
# backend/main.py
from contextlib import asynccontextmanager
from fastapi import FastAPI
from .dependencies import app_state
from .routers import search, images, collections
@asynccontextmanager
async def lifespan(app: FastAPI):
"""Application lifespan manager for startup/shutdown."""
# --- Startup ---
print("INFO: Starting up services...")
# Initialize services into app_state
app_state.qdrant_client = QdrantClient(host="localhost", port=6333)
app_state.ml_model = SentenceTransformer("clip-ViT-B-32")
app_state.active_collection = "default_collection"
print("INFO: Startup complete.")
yield
# --- Shutdown ---
print("INFO: Shutting down services...")
# Create app with lifespan
app = FastAPI(lifespan=lifespan)
# Include routers - NO circular imports
app.include_router(search.router)
app.include_router(images.router)
app.include_router(collections.router)
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.
- 1mo ago First seen · 219 lines · 0 tokens per session scan A fe95237184d3
fastapi-dependency-injection is a cursor rule published in the GitHub repository rm2thaddeus/Pixel_Detective (21 stars, last pushed 8mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,519 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 2026-08-30.
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