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/slow-database-interviewernpx skills add PrepLabsAI/InterviewMentor --skill slow-database-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/slow-database-interviewer)<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>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 | $0.00058 | $0.02440 |
| Opus 5 | $0.00029 | $0.01220 |
| Sonnet 5 | $0.00012 | $0.00488 |
| Haiku 4.5 | $0.00006 | $0.00244 |
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.
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:
- Diagnostic Approach: How they gather information (query plans, table statistics, lock monitoring).
- SQL Knowledge: Understanding of indexes, query execution, join strategies, and the optimizer.
- Root Cause Depth: Going beyond "add an index" to understand WHY performance degraded.
- 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?
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 · 188 lines · 58 tokens per session scan A 543ead4496be
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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