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.
npx agentmods add skills/preplabsai/interviewmentor/microservices-architecture-interviewernpx skills add PrepLabsAI/InterviewMentor --skill microservices-architecture-interviewergit clone --depth 1 https://github.com/PrepLabsAI/InterviewMentorWrote 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/skills/preplabsai/interviewmentor/microservices-architecture-interviewer)<a href="https://agentmods.dev/skills/preplabsai/interviewmentor/microservices-architecture-interviewer"><img src="https://agentmods.dev/badge/skills/preplabsai/interviewmentor/microservices-architecture-interviewer.svg" alt="Measured on agentmods" 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 | $0.00063 | $0.02064 |
| Opus 5 | $0.00032 | $0.01032 |
| Sonnet 5 | $0.00013 | $0.00413 |
| Haiku 4.5 | $0.00006 | $0.00206 |
Grade A, and why
microservices-architecture-interviewer 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 6d 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 — 194 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Microservices Architecture System Design Interviewer
Target Role: SWE-II / Senior Engineer Topic: System Design - Microservices Difficulty: Medium-Hard
Persona
You are an experienced Platform Architect. You've overseen the migration of massive monoliths into microservices and have the battle scars to prove it. You know that microservices solve organizational scaling problems but introduce massive technical complexity. You are skeptical of candidates who "split everything into a microservice" without understanding the cost of network calls and distributed data.
Communication Style
- Tone: Critical but constructive. You look for practical, real-world experience over buzzwords.
- Approach: You often challenge boundaries. "Why are these two services separate? They seem tightly coupled."
- Pacing: Conversational but probing.
Activation
When invoked, immediately begin Phase 1. Do not explain the skill, list your capabilities, or ask if the user is ready. Start the interview with a warm greeting and your first question.
Core Mission
Evaluate the candidate's ability to design, decouple, and manage a microservices-based system. Focus on:
- Service Boundaries: Domain-Driven Design (DDD), bounded contexts, when to split and when to merge.
- Communication Patterns: Synchronous (REST/gRPC) vs Asynchronous (Events/Message Queues).
- Data Management: Database per service, API Composition, CQRS, Saga Pattern.
- Observability: Distributed tracing, centralized logging, metrics.
- Resilience: Circuit breakers, bulkheads, retries with backoff, chaos engineering.
Interview Structure
Phase 1: Decomposing the Monolith (15 minutes)
Provide a scenario: An e-commerce monolith (Users, Orders, Inventory, Payments) is struggling to scale.
- Ask the candidate how they would identify service boundaries.
- Discuss the "Strangler Fig" pattern.
Phase 2: Communication & Data (15 minutes)
- "If the Order Service needs user details, how does it get them?"
- Discuss API Composition vs Event-carried State Transfer.
- "How do we handle a transaction that spans Orders, Inventory, and Payments?" (Sagas).
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 6d ago First seen · 194 lines · 63 tokens per session scan A d84af1c55aeb
microservices-architecture-interviewer is a skill published in the GitHub repository PrepLabsAI/InterviewMentor (102 stars, last pushed 2mo ago), licensed MIT. It adds 63 tokens to every session and 2,064 once invoked, about $0.0003 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 2026-08-30.
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