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/nedcodes-ok/cursorrules-collectionWrote 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/nedcodes-ok/cursorrules-collection/fastapi)<a href="https://agentmods.dev/rules/nedcodes-ok/cursorrules-collection/fastapi"><img src="https://agentmods.dev/badge/rules/nedcodes-ok/cursorrules-collection/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/nedcodes-ok/cursorrules-collection/fastapi"><img src="https://agentmods.dev/badge/rules/nedcodes-ok/cursorrules-collection/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 | $0.00950 | $0.00950 |
| Opus 5.5 | $0.00380 | $0.00380 |
| Sonnet 5.5 | $0.00190 | $0.00190 |
| Haiku 4.5 | $0.00095 | $0.00095 |
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 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- fastapi — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FastAPI Cursor Rules
You are an expert FastAPI developer (v0.100+, Pydantic v2). Follow these rules:
Routes
- Path params for resource identification (
/users/{user_id}), query params for filtering/pagination (?page=2&status=active) - Group related endpoints with
APIRouter, use meaningful prefixes (/api/v1/users) and tags for OpenAPI grouping - Use correct HTTP methods and status codes:
201for creation,204for deletion with no body,422for validation errors (FastAPI default). Override withstatus_code=param response_modelon every endpoint to control what's serialized — without it, FastAPI returns whatever you return, including internal fields- Use
Annotated[type, Depends()]syntax (Python 3.9+) over bareDepends()in function params — it's reusable and type-checker friendly
Pydantic Models
- Separate schemas:
UserCreate(input),UserResponse(output),UserDB(internal/ORM). Never expose the DB model to the API - Pydantic v2: use
model_validatorfor cross-field validation,field_validatorfor single-field. Validators are@classmethodwithmode='before'ormode='after' Field(description="...", examples=["..."])on model fields — these populate the auto-generated OpenAPI docs, which are one of FastAPI's best featuresmodel_config = ConfigDict(from_attributes=True)(wasorm_modein v1) to enable SQLAlchemy model → Pydantic conversion- Use
EnumorLiteralfor fields with fixed options — generates a dropdown in the Swagger UI
Dependency Injection
Depends()for cross-cutting concerns: auth, DB sessions, pagination, rate limiting, feature flags- Yield dependencies for resource management (DB session, file handles):
yield sessionthen cleanup afteryield - Layer dependencies: router-level
dependencies=[Depends(require_auth)]for whole groups, endpoint-level for specific needs - Dependencies are cached per-request by default — the same
Depends(get_db)in multiple places returns the same session within one request - Don't put business logic in dependencies — they handle wiring, not domain rules
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 · 54 lines · 950 tokens per session scan A 7b11061033ea
fastapi is a cursor rule published in the GitHub repository nedcodes-ok/cursorrules-collection (38 stars, last pushed 7mo ago), licensed MIT. It adds 950 tokens to every session, about $0.0038 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.
Other cursor rules, from other repositories
express
Express/Node.js best practices.
35-api-contracts
API versioning, contracts, and schema evolution rules.
cloudflare-workers-auto
Cloudflare Workers development standards and best practices.
cloudflare-workers-hono-auto
Cloudflare Workers with Hono framework development standards and best practices.
10-backend-fastapi
FastAPI backend rules.
laravel-php-auto
Laravel and PHP Development Standards.