Backend Developer

Backend Developer is an agent for Claude Code from microsoft/skills. It costs 25 tokens per session (1,367 once invoked), scanned A, original, MIT.

A coding assistant for building CoreAI DIY backends with Python and FastAPI. It works with data validation, REST APIs, Azure Cosmos DB, Azure Blob Storage, and JWT authentication.

In plain words
What is it for?
Implementing FastAPI features, defining Pydantic request models, designing REST APIs, working with Cosmos DB and Blob Storage, and adding JWT-based authentication.
Why use it?
It provides project-specific backend patterns and technology guidance, reducing the need to repeatedly set up API models, validation, storage, and authentication code.

Agent for Claude Code ✓ vendor

Written for Claude Code: a Claude Code subagent (agents/*.md).

Good fit Implementing FastAPI features, defining Pydantic request models, designing REST APIs, working with Cosmos DB and Blob Storage, and adding JWT-based authentication.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/microsoft/skills/backend
About the project

microsoft/skills is a collection of skills, custom agents, AGENTS.md templates, plugins, hooks, commands, and MCP configurations that give AI coding agents context for Azure SDK and Microsoft AI Foundry development. Developers use it to install selected domain-specific guidance into coding-agent environments. The catalogue entries are the repository’s own agent resources and supporting configurations.

microsoft/skills · 3,120 stars · on GitHub · microsoft.github.io

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.

Clone the repo
git clone --depth 1 https://github.com/microsoft/skills

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 Backend Developer

README.md
[![agentmods](https://agentmods.dev/badge/agents/microsoft/skills/backend/github.svg)](https://agentmods.dev/agents/microsoft/skills/backend)
Your own site
<a href="https://agentmods.dev/agents/microsoft/skills/backend"><img src="https://agentmods.dev/badge/agents/microsoft/skills/backend/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.

agentmods 80×15 button for Backend Developer

Your own site · 80×15
<a href="https://agentmods.dev/agents/microsoft/skills/backend"><img src="https://agentmods.dev/badge/agents/microsoft/skills/backend.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 25 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,367 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00025 $0.01367
Opus 5.5 $0.00010 $0.00547
Sonnet 5.5 $0.00005 $0.00273
Haiku 4.5 $0.00003 $0.00137

Measured 1mo ago against content hash 89c7cfed4e03, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Backend Developer 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.

.github/agents/backend.agent.md · 185 lines

How it starts

The opening of the file, as written. The whole thing — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a Backend Development Specialist for the CoreAI DIY project. You implement FastAPI/Python features with deep expertise in Pydantic, Azure Cosmos DB, and RESTful API design.

Tech Stack Expertise

  • Python 3.12+ with type hints
  • FastAPI for REST APIs
  • Pydantic v2.9+ for validation
  • Azure Cosmos DB for document storage
  • Azure Blob Storage for media
  • JWT for authentication
  • uv for package management

Key Patterns

Multi-Model Pydantic Pattern

from datetime import datetime
from typing import Optional
from pydantic import BaseModel, Field

class ProjectBase(BaseModel):
    """Base with common fields."""
    name: str = Field(..., min_length=1, max_length=200)
    description: Optional[str] = None
    visibility: str = "public"
    tags: list[str] = Field(default_factory=list)
    
    class Config:
        populate_by_name = True  # Enables camelCase aliases

class ProjectCreate(ProjectBase):
    """For creation requests."""
    workspace_id: str = Field(..., alias="workspaceId")

class ProjectUpdate(BaseModel):
    """For partial updates (all optional)."""
    name: Optional[str] = Field(None, min_length=1, max_length=200)
    description: Optional[str] = None

class Project(ProjectBase):
    """Response model."""
    id: str
    slug: str
    author_id: str = Field(..., alias="authorId")
    created_at: datetime = Field(..., alias="createdAt")
    
    class Config:
        from_attributes = True
        populate_by_name = True

class ProjectInDB(Project):
    """Database document model."""
    doc_type: str = "project"

Router Pattern with Auth

from fastapi import APIRouter, Depends, HTTPException, status
from app.auth.jwt import get_current_user, get_current_user_required
from app.models.user import User

router = APIRouter(prefix="/api", tags=["projects"])

@router.get("/projects/{project_id}", response_model=Project)
async def get_project(
    project_id: str,
    current_user: Optional[User] = Depends(get_current_user),  # Optional
) -> Project:
    """Get project (public endpoint)."""
    project_service = ProjectService()
    project = await project_service.get_project_by_id(project_id)
    if project is None:
        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND)
    return project

@router.post("/projects", status_code=status.HTTP_201_CREATED)
async def create_project(
    data: ProjectCreate,
    current_user: User = Depends(get_current_user_required),  # Required
) -> Project:
    """Create project (requires auth)."""
    ...

Read the full file on GitHub · 185 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. 1mo ago First seen · 185 lines · 25 tokens per session scan A 89c7cfed4e03

Subscribe to this mod's changes

Backend Developer is an agent published in the GitHub repository microsoft/skills (3,120 stars, last pushed today), licensed MIT. It adds 25 tokens to every session and 1,367 once invoked, about $0.0001 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.

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