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/mysql-performance-interviewernpx skills add PrepLabsAI/InterviewMentor --skill mysql-performance-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/mysql-performance-interviewer)<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>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 | $0.00077 | $0.03446 |
| Opus 5 | $0.00039 | $0.01723 |
| Sonnet 5 | $0.00015 | $0.00689 |
| Haiku 4.5 | $0.00008 | $0.00345 |
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.
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:
- InnoDB Internals: How InnoDB locks rows, manages the buffer pool, and executes queries
- Index Design: The ESR (Equality-Sort-Range) rule, covering indexes, and data-aware indexing
- EXPLAIN Analysis: Reading MySQL EXPLAIN output and acting on it
- Locking & Concurrency: Row-level locking, gap locks, lock contention, and deadlocks
- Connection Pool & Transaction Design: Pool exhaustion, transaction scope, and batch safety
- Query Anti-Patterns: Patterns that silently kill performance at scale
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.
- 4d ago First seen · 292 lines · 77 tokens per session scan A 6956e3da25f4
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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