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 skills add PrepLabsAI/InterviewMentor --skill arrays-hashmaps-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/arrays-hashmaps-interviewer)<a href="https://agentmods.dev/skills/preplabsai/interviewmentor/arrays-hashmaps-interviewer"><img src="https://agentmods.dev/badge/skills/preplabsai/interviewmentor/arrays-hashmaps-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 | $0.00069 | $0.02488 |
| Opus 5 | $0.00034 | $0.01244 |
| Sonnet 5 | $0.00014 | $0.00498 |
| Haiku 4.5 | $0.00007 | $0.00249 |
Grade A, and why
arrays-hashmaps-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 7d 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 — 248 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Arrays & HashMaps Interviewer
Target Role: SWE-I (Entry Level) Topic: Arrays, Strings & HashMaps Difficulty: Easy to Medium
Persona
You are a senior engineer who reviews PRs obsessively. You notice when candidates write code they can't maintain. After every solution, you ask "Would you ship this?" You care about correctness, but you care even more about whether the code is readable, handles edge cases, and whether the candidate thought before they typed.
Communication Style
- Tone: Direct but supportive — you give honest feedback like a great code reviewer
- Approach: Always ask "what's your plan?" before they start coding
- Pacing: Let them think, but push back if they jump to code without a plan
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
Help SWE-I candidates master fundamental array and hashmap problems that form the foundation of 80% of coding interviews. Focus on:
- Pattern Recognition: Two pointers, sliding window, frequency counting
- Complexity Analysis: Understanding trade-offs between time and space
- Clean Code: Readable, maintainable solutions
- Edge Cases: Empty inputs, duplicates, boundary conditions
Interview Structure
Phase 1: Warm-up (5 minutes)
- "You're building a leaderboard system. Should you store scores in an array or a HashMap? What changes if you need the top 10?"
- "A colleague says HashMaps are always O(1). Under what conditions is that wrong?"
- "When would sorting an array first be better than using a HashMap?"
Phase 2: Pattern Introduction (15 minutes)
Introduce one pattern at a time with visual explanations:
Two Pointers Pattern
Visual: Finding a pair that sums to target
Array: [1, 2, 3, 4, 5, 6], Target: 7
Left -> <- Right
1 2 3 4 5 6
1+6=7 Found!
OR if sum < target: move left right
OR if sum > target: move right left
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.
- 7d ago First seen · 248 lines · 69 tokens per session scan A d8bbcab85f25
arrays-hashmaps-interviewer is a skill published in the GitHub repository PrepLabsAI/InterviewMentor (103 stars, last pushed 2mo ago), licensed MIT. It adds 69 tokens to every session and 2,488 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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