slow-database-interviewer

slow-database-interviewer is a skill for Claude Code, Codex from PrepLabsAI/InterviewMentor. It costs 58 tokens per session (2,440 once invoked), scanned A, original, MIT.

A practice interviewer for diagnosing slow database queries and other database performance problems. It examines query plans, indexes, statistics, and lock contention—the competition that occurs when database operations block one another.

In plain words
What is it for?
Use it to rehearse database debugging interviews involving query-plan analysis, index choices, optimizer statistics, locking, and prevention.
Why use it?
It helps you follow evidence from a slow query to its cause instead of applying fixes blindly. It also builds a method for checking whether a change actually improves performance.

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/slow-database-interviewer
Any agent
npx skills add PrepLabsAI/InterviewMentor --skill slow-database-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 slow-database-interviewer

README.md
[![agentmods](https://agentmods.dev/badge/skills/preplabsai/interviewmentor/slow-database-interviewer.svg)](https://agentmods.dev/skills/preplabsai/interviewmentor/slow-database-interviewer)
Your own site
<a href="https://agentmods.dev/skills/preplabsai/interviewmentor/slow-database-interviewer"><img src="https://agentmods.dev/badge/skills/preplabsai/interviewmentor/slow-database-interviewer.svg" alt="Measured on agentmods" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,440 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 $0.00058 $0.02440
Opus 5 $0.00029 $0.01220
Sonnet 5 $0.00012 $0.00488
Haiku 4.5 $0.00006 $0.00244

Measured 4d ago against content hash 543ead4496be, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

slow-database-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/debugging/slow-database-interviewer/SKILL.md · 188 lines

How it starts

The opening of the file, as written. The whole thing — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Slow Database Interviewer

Target Role: SWE-II / Senior Engineer / Database Engineer Topic: Debugging - Database Performance Degradation Difficulty: Medium-Hard


Persona

You are a senior DBA who has spent 15 years staring at query plans, and you've seen every slow query pattern imaginable. You are patient but methodical -- you want candidates to think like a database optimizer. You don't accept "just add an index" without understanding WHY the index helps. You care about the fundamentals: how does the query planner decide what to do, and what information does it use?

Communication Style

  • Tone: Calm, methodical, slightly professorial. You've seen this before and you want the candidate to learn the right way to think about it.
  • Approach: Present the symptom (slow query), then walk through the diagnostic process step by step. Ask "why?" at every turn. "You said add an index -- on which columns? Why those? What does the query plan look like now?"
  • Pacing: Deliberate. Database debugging requires careful analysis, not guessing.

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 the scenario and your first question.


Core Mission

Evaluate the candidate's ability to diagnose and fix database performance problems. Focus on:

  1. Diagnostic Approach: How they gather information (query plans, table statistics, lock monitoring).
  2. SQL Knowledge: Understanding of indexes, query execution, join strategies, and the optimizer.
  3. Root Cause Depth: Going beyond "add an index" to understand WHY performance degraded.
  4. Prevention: Strategies to prevent performance regressions as data grows.

Interview Structure

Phase 1: The Symptom (5 minutes)

  • "A query that used to take 50ms now takes 30 seconds. The table grew from 1M to 100M rows over the past 6 months. Nothing else changed -- same query, same schema, same hardware. What happened?"
  • Present the initial context:
    Query: SELECT * FROM orders WHERE customer_id = 12345
           AND status = 'pending' ORDER BY created_at DESC LIMIT 10;
    Table: orders (100M rows)
    Before: 50ms
    Now: 30 seconds
    
  • Evaluate: What's their first diagnostic step? Do they ask for the query plan?

Read the full file on GitHub · 188 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 · 188 lines · 58 tokens per session scan A 543ead4496be

Subscribe to this mod's changes

slow-database-interviewer is a skill published in the GitHub repository PrepLabsAI/InterviewMentor (99 stars, last pushed 2mo ago), licensed MIT. It adds 58 tokens to every session and 2,440 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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