new-endpoint

new-endpoint is a command for Claude Code from colossus-lab/openarg_backend. It costs 0 tokens per session (534 once invoked), scanned A, original, MIT.

A guided command for adding a new FastAPI web API endpoint, including its request and response data structures.

In plain words
What is it for?
Use it when adding a new API route, defining its input and output, connecting it to a service, and optionally adding request-rate limits.
Why use it?
It gives developers a consistent starting structure and points them to related examples, so they do not have to design each endpoint from scratch.

Command for Claude Code

Install

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.

agentmods
npx agentmods add commands/colossus-lab/openarg_backend/new-endpoint
Clone the repo
git clone --depth 1 https://github.com/colossus-lab/openarg_backend

Made for: Claude Code.

Wrote 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.

agentmods badge for new-endpoint

README.md
[![agentmods](https://agentmods.dev/badge/commands/colossus-lab/openarg_backend/new-endpoint.svg)](https://agentmods.dev/commands/colossus-lab/openarg_backend/new-endpoint)
Your own site
<a href="https://agentmods.dev/commands/colossus-lab/openarg_backend/new-endpoint"><img src="https://agentmods.dev/badge/commands/colossus-lab/openarg_backend/new-endpoint.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 534 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.00534
Opus 5 $0.00000 $0.00267
Sonnet 5 $0.00000 $0.00107
Haiku 4.5 $0.00000 $0.00053

Measured 4d ago against content hash 2d5679b8f7e5, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

new-endpoint 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 4d 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.

.claude/commands/new-endpoint.md · 80 lines

How it starts

The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Create new FastAPI endpoint: $ARGUMENTS

Add a new endpoint to the API. Follow these steps:

1. Create the router

Create src/app/presentation/http/controllers/{module}/{module}_router.py:

from fastapi import APIRouter
from dishka.integrations.fastapi import FromDishka, inject
from pydantic import BaseModel

router = APIRouter(prefix="/{module}", tags=["{module}"])

class {Module}Request(BaseModel):
    field: str

class {Module}Response(BaseModel):
    result: str

@router.post("/", response_model={Module}Response)
@inject
async def create_{module}(
    body: {Module}Request,
    service: FromDishka[IService],
) -> {Module}Response:
    result = await service.execute(body.field)
    return {Module}Response(result=result)

Reference: src/app/presentation/http/controllers/query/query_router.py (full example with DI, rate limiting, WebSocket), src/app/presentation/http/controllers/datasets/datasets_router.py (simple CRUD).

2. Add rate limiting (if needed)

from slowapi import Limiter
from slowapi.util import get_remote_address

limiter = Limiter(key_func=get_remote_address)

@router.post("/")
@limiter.limit("10/minute")
async def endpoint(request: Request, ...):
    ...

3. Define Pydantic schemas

Request/response models go in the same router file or a separate schemas.py if complex.

Conventions:

  • Request: {Name}Request
  • Response: {Name}Response
  • Use Field() with descriptions for OpenAPI documentation

4. Register in the root router

Edit src/app/presentation/http/controllers/root_router.py:

from .{module}.{module}_router import router as {module}_router

api_router.include_router({module}_router)

This mounts it under /api/v1/{module}/.

5. Inject dependencies

If the endpoint needs services/repos, make sure they're registered in Dishka (src/app/setup/ioc/provider_registry.py) and use FromDishka[InterfaceType] + @inject decorator.

Checklist

  • Router created with endpoint(s)
  • Pydantic schemas defined
  • Rate limiting configured if public-facing
  • Registered in root_router.py
  • Dependencies available in Dishka
  • Tested: endpoint responds correctly

Read the full file on GitHub · 80 lines

Changes

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.

  1. 4d ago First seen · 80 lines · 0 tokens per session scan A 2d5679b8f7e5

Subscribe to this mod's changes

new-endpoint is a command published in the GitHub repository colossus-lab/openarg_backend (144 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 534 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.