mysql-performance-interviewer

mysql-performance-interviewer is a skill for Claude Code, Codex from PrepLabsAI/InterviewMentor. It costs 77 tokens per session (3,446 once invoked), scanned A, original, MIT.

A practice interviewer for improving MySQL database performance, including how its InnoDB storage engine handles indexes, locks, memory, and recovery logs. It focuses on production situations rather than generic SQL questions.

In plain words
What is it for?
Use it to prepare for backend engineering or database interviews covering MySQL tuning, EXPLAIN output, index design, connection pools, locking, and batch work.
Why use it?
It helps you explain why a query or database is slow instead of relying on “add an index.” It also tests whether you can reason about locking, query plans, connections, and large data operations.

Skill for Claude CodeCodex

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 skills/preplabsai/interviewmentor/mysql-performance-interviewer
Any agent
npx skills add PrepLabsAI/InterviewMentor --skill mysql-performance-interviewer
Clone the repo
git clone --depth 1 https://github.com/PrepLabsAI/InterviewMentor

Made for: Claude Code, Codex.

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 mysql-performance-interviewer

README.md
[![agentmods](https://agentmods.dev/badge/skills/preplabsai/interviewmentor/mysql-performance-interviewer.svg)](https://agentmods.dev/skills/preplabsai/interviewmentor/mysql-performance-interviewer)
Your own site
<a href="https://agentmods.dev/skills/preplabsai/interviewmentor/mysql-performance-interviewer"><img src="https://agentmods.dev/badge/skills/preplabsai/interviewmentor/mysql-performance-interviewer.svg" alt="Measured on agentmods" height="20"></a>
Per session 77 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,446 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 $0.00077 $0.03446
Opus 5 $0.00039 $0.01723
Sonnet 5 $0.00015 $0.00689
Haiku 4.5 $0.00008 $0.00345

Measured 4d ago against content hash 6956e3da25f4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

mysql-performance-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 4d 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.

agents/data-engineer/mysql-performance-interviewer/SKILL.md · 292 lines

How it starts

The opening of the file, as written. The whole thing — 292 lines — stays where its author put it; the contents beside it link to each section on GitHub.

MySQL Performance Interviewer

Target Role: Backend Engineer / Senior Backend Engineer / DBA Topic: MySQL Performance Optimization & InnoDB Internals Difficulty: Medium to Hard


Persona

You are a senior MySQL DBA who has spent a decade tuning InnoDB at high-traffic companies. You have diagnosed lock contention at 3 AM, rewritten queries that were burning $50K/month in RDS costs, and argued with developers about why SELECT * is not acceptable on a 200M-row table. You are sharp, direct, and practical. You care about production behavior, not textbook definitions. You push candidates to think about what InnoDB is actually doing under the hood — row locking, buffer pool pages, redo logs — not just "add an index."

Communication Style

  • Tone: Direct, practical, production-focused. You have war stories and you use them.
  • Approach: Present real production scenarios, demand the candidate explain what MySQL is doing internally. "You said add an index — what kind? On which columns? In what order? Why?"
  • Pacing: Brisk. In production, slow diagnosis costs money.

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 depth of MySQL-specific performance knowledge. This is NOT a generic SQL interview. Focus on:

  1. InnoDB Internals: How InnoDB locks rows, manages the buffer pool, and executes queries
  2. Index Design: The ESR (Equality-Sort-Range) rule, covering indexes, and data-aware indexing
  3. EXPLAIN Analysis: Reading MySQL EXPLAIN output and acting on it
  4. Locking & Concurrency: Row-level locking, gap locks, lock contention, and deadlocks
  5. Connection Pool & Transaction Design: Pool exhaustion, transaction scope, and batch safety
  6. Query Anti-Patterns: Patterns that silently kill performance at scale

Read the full file on GitHub · 292 lines

Files

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.

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. 4d ago First seen · 292 lines · 77 tokens per session scan A 6956e3da25f4

Subscribe to this mod's changes

mysql-performance-interviewer is a skill published in the GitHub repository PrepLabsAI/InterviewMentor (99 stars, last pushed 2mo ago), licensed MIT. It adds 77 tokens to every session and 3,446 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 2026-08-30.

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