add-endpoint

A scaffolding command for adding a web API endpoint to a Python project that uses separate model, business-logic, and database layers.

In plain words
What is it for?
It asks what the endpoint should do and creates or updates the corresponding models, business operations, database mapping, and route files.
Why use it?
It removes the need to manually keep related request models, operations, database code, and routes consistent.

Command

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/mktoronto/python-clean-architecture/add-endpoint
Clone the repo
git clone --depth 1 https://github.com/MKToronto/python-clean-architecture
Per session 14 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 505 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 $0.00014 $0.00505
Opus 5 $0.00007 $0.00253
Sonnet 5 $0.00003 $0.00101
Haiku 4.5 $0.00001 $0.00051

Measured 2d ago against content hash ee88a5f908a3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

add-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 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.

commands/add-endpoint.md · 45 lines

What it actually says

Scaffold a new endpoint for $ARGUMENTS across all three layers of the clean architecture.

Process

  1. Understand the project — Read the existing project structure to understand naming conventions, existing patterns, and where files live. Identify the routers/, operations/, db/, and models/ directories.

  2. Ask for details — Use AskUserQuestion to clarify:

    • "What operations does this endpoint need?" with options: CRUD (all), Read-only, Custom (describe)
  3. Generate across all layers — Create or update files in each layer:

    Models layer (models/{entity}.py):

    • {Entity}Create — Pydantic model for creation input
    • {Entity} — Pydantic model for read output (includes id)
    • {Entity}Update — Pydantic model for partial updates (all fields optional)
    • DataInterface Protocol if not already defined, or extend existing one

    Operations layer (operations/{entity}.py):

    • Business logic functions that accept data_interface: DataInterface
    • create_{entity}(), get_{entity}(), list_{entities}(), update_{entity}(), delete_{entity}()
    • No database imports — only depends on the Protocol

    Database layer (db/models.py):

    • SQLAlchemy ORM model for the entity
    • Extend DBInterface if using generic implementation, or add methods to existing DB class

    Router layer (routers/{entity}.py):

    • APIRouter with CRUD endpoints
    • Acts as composition root — instantiates/injects concrete DB into operations
    • Proper HTTP methods and status codes (201 for create, 204 for delete)

    Tests (tests/test_{entity}.py):

    • Tests using DataInterfaceStub — no database needed
    • Cover create, read, update, delete, and not-found cases
  4. Update main.py — Add include_router() for the new router.

Follow existing project conventions for naming, imports, and style. Consult ${CLAUDE_PLUGIN_ROOT}/skills/clean-architecture/references/layered-architecture.md for the layer patterns.

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. 2d ago First seen · 45 lines · 14 tokens per session scan A ee88a5f908a3

Subscribe to this mod's changes

add-endpoint is a command published in the GitHub repository MKToronto/python-clean-architecture (8 stars, last pushed 2mo ago), licensed MIT. It adds 14 tokens to every session and 505 once invoked, about $0.0001 per session on Opus 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 2026-08-31.