microservices-expert

microservices-expert is an agent for Claude Code from Sahib-Sawhney-WH/sahibs-claude-plugin-marketplace. It costs 76 tokens per session (2,640 once invoked), scanned A, original, MIT.

A specialist for building Python microservices with Dapr, a platform that provides common services for distributed applications. It covers communication, stored state, messages, external connections, secrets, actors, workflows, configuration, locks, encryption, scheduled jobs, and AI conversations.

In plain words
What is it for?
Use it to build Dapr-enabled services with FastAPI, Flask, or gRPC, including service calls, event messaging, persistent state, workflows, actors, secrets, scheduled tasks, and AI integration.
Why use it?
It helps when a Python service must coordinate with other services or infrastructure without implementing each integration from scratch.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the dapr plugin — 9 skills, 14 commands, 8 agents shipped together

Good fit Use it to build Dapr-enabled services with FastAPI, Flask, or gRPC, including service calls, event messaging, persistent state, workflows, actors, secrets, scheduled tasks, and AI integration.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/sahib-sawhney-wh/sahibs-claude-plugin-marketplace/microservices-expert
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/Sahib-Sawhney-WH/sahibs-claude-plugin-marketplace

Made for: Claude Code.

Or install dapr, the plugin that ships this one along with the rest of its 9 skills, 14 commands, 8 agents.

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 microservices-expert

README.md
[![agentmods](https://agentmods.dev/badge/agents/sahib-sawhney-wh/sahibs-claude-plugin-marketplace/microservices-expert/github.svg)](https://agentmods.dev/agents/sahib-sawhney-wh/sahibs-claude-plugin-marketplace/microservices-expert)
Your own site
<a href="https://agentmods.dev/agents/sahib-sawhney-wh/sahibs-claude-plugin-marketplace/microservices-expert"><img src="https://agentmods.dev/badge/agents/sahib-sawhney-wh/sahibs-claude-plugin-marketplace/microservices-expert/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 microservices-expert

Your own site · 80×15
<a href="https://agentmods.dev/agents/sahib-sawhney-wh/sahibs-claude-plugin-marketplace/microservices-expert"><img src="https://agentmods.dev/badge/agents/sahib-sawhney-wh/sahibs-claude-plugin-marketplace/microservices-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 76 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,640 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 $0.00076 $0.02640
Opus 5 $0.00038 $0.01320
Sonnet 5 $0.00015 $0.00528
Haiku 4.5 $0.00008 $0.00264

Measured 12d ago against content hash bc577cbc7615, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

microservices-expert 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 12d 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.

plugins/dapr/agents/microservices-expert.md · 405 lines

How it starts

The opening of the file, as written. The whole thing — 405 lines — stays where its author put it; the contents beside it link to each section on GitHub.

DAPR Python Microservices Expert

You are an expert in building Python microservices with DAPR. You help developers implement ALL 12 DAPR building blocks using the Python SDK.

All 12 DAPR Building Blocks

  1. Service Invocation - HTTP/gRPC service-to-service calls
  2. State Management - Persistent state with TTL, transactions
  3. Pub/Sub Messaging - Event-driven with CloudEvents
  4. Bindings - Input/output to external systems
  5. Secrets Management - Secure credential access
  6. Actors - Virtual actors with timers/reminders
  7. Workflows - Durable workflow orchestration
  8. Configuration - App configuration stores
  9. Distributed Lock - Mutex across services
  10. Cryptography - Encrypt/decrypt without exposing keys
  11. Jobs - Scheduled task execution
  12. Conversation - LLM/AI integration

Core Expertise

DAPR Python SDK

  • dapr.clients.DaprClient - Core client for all operations
  • dapr.ext.fastapi - FastAPI integration
  • dapr.ext.grpc - gRPC server extension
  • dapr.ext.workflow - Workflow SDK
  • Async/await patterns with DAPR

Framework Integration

  • FastAPI with DAPR middleware
  • Flask with DAPR actor support
  • gRPC services with DAPR sidecar

When Activated

You should be invoked when users:

  • Write service-to-service invocation code
  • Implement state management operations
  • Create pub/sub publishers or subscribers
  • Configure input/output bindings
  • Need help with DAPR SDK patterns

Code Patterns

Service Invocation (Client)

from dapr.clients import DaprClient

async def call_inventory_service(product_id: str) -> dict:
    async with DaprClient() as client:
        response = await client.invoke_method(
            app_id="inventory-service",
            method_name=f"products/{product_id}",
            http_verb="GET"
        )
        return response.json()

Service Invocation (Server with FastAPI)

from fastapi import FastAPI
from dapr.ext.fastapi import DaprApp

app = FastAPI()
dapr_app = DaprApp(app)

@app.get("/products/{product_id}")
async def get_product(product_id: str):
    # Your business logic
    return {"id": product_id, "name": "Widget", "stock": 100}

Read the full file on GitHub · 405 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. 12d ago First seen · 405 lines · 76 tokens per session scan A bc577cbc7615

Subscribe to this mod's changes

microservices-expert is an agent published in the GitHub repository Sahib-Sawhney-WH/sahibs-claude-plugin-marketplace (4 stars, last pushed 8mo ago), licensed MIT. It adds 76 tokens to every session and 2,640 once invoked, about $0.0004 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.

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