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/Sahib-Sawhney-WH/sahibs-claude-plugin-marketplaceWrote 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/agents/sahib-sawhney-wh/sahibs-claude-plugin-marketplace/microservices-expert)<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.
<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>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 | $0.00076 | $0.02640 |
| Opus 5 | $0.00038 | $0.01320 |
| Sonnet 5 | $0.00015 | $0.00528 |
| Haiku 4.5 | $0.00008 | $0.00264 |
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.
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
- Service Invocation - HTTP/gRPC service-to-service calls
- State Management - Persistent state with TTL, transactions
- Pub/Sub Messaging - Event-driven with CloudEvents
- Bindings - Input/output to external systems
- Secrets Management - Secure credential access
- Actors - Virtual actors with timers/reminders
- Workflows - Durable workflow orchestration
- Configuration - App configuration stores
- Distributed Lock - Mutex across services
- Cryptography - Encrypt/decrypt without exposing keys
- Jobs - Scheduled task execution
- Conversation - LLM/AI integration
Core Expertise
DAPR Python SDK
dapr.clients.DaprClient- Core client for all operationsdapr.ext.fastapi- FastAPI integrationdapr.ext.grpc- gRPC server extensiondapr.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}
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.
- 12d ago First seen · 405 lines · 76 tokens per session scan A bc577cbc7615
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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