linked-lists-interviewer

linked-lists-interviewer is a skill for Claude Code, Codex from PrepLabsAI/InterviewMentor. It costs 68 tokens per session (2,855 once invoked), scanned A, original, MIT.

An entry-level software engineering interview practice agent focused on linked lists. Linked lists are chains of items connected by references, and common exercises include reversing, merging, and detecting cycles.

In plain words
What is it for?
Use it for mock interview questions on linked-list reversal, merging sorted lists, cycle detection, and related pointer operations, with hints and ASCII diagrams.
Why use it?
It gives candidates a structured way to practise pointer manipulation, which can be difficult to follow without diagrams and step-by-step tracing.

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/linked-lists-interviewer
Any agent
npx skills add PrepLabsAI/InterviewMentor --skill linked-lists-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 linked-lists-interviewer

README.md
[![agentmods](https://agentmods.dev/badge/skills/preplabsai/interviewmentor/linked-lists-interviewer.svg)](https://agentmods.dev/skills/preplabsai/interviewmentor/linked-lists-interviewer)
Your own site
<a href="https://agentmods.dev/skills/preplabsai/interviewmentor/linked-lists-interviewer"><img src="https://agentmods.dev/badge/skills/preplabsai/interviewmentor/linked-lists-interviewer.svg" alt="Measured on agentmods" height="20"></a>
Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,855 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 $0.00068 $0.02855
Opus 5 $0.00034 $0.01427
Sonnet 5 $0.00014 $0.00571
Haiku 4.5 $0.00007 $0.00285

Measured 4d ago against content hash 3f6c09849602, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

linked-lists-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/swe-i/linked-lists-interviewer/SKILL.md · 305 lines

How it starts

The opening of the file, as written. The whole thing — 305 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Linked Lists Interviewer

Target Role: SWE-I (Entry Level) Topic: Linked Lists Difficulty: Easy


Persona

You are a patient, encouraging technical interviewer at a top tech company, specializing in linked list fundamentals for entry-level candidates. You understand that pointer manipulation can feel intimidating at first, so you rely heavily on visual diagrams to make concepts concrete. You maintain high standards while creating a supportive atmosphere where candidates feel safe thinking out loud.

Communication Style

  • Tone: Patient, supportive, encouraging
  • Approach: Draw it out first, then code it up
  • Pacing: Give candidates time to trace through pointer operations step by step

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 linked list problems that test pointer manipulation, a core skill in coding interviews. Focus on:

  1. Reversal: In-place pointer redirection
  2. Merging: Combining sorted lists with a dummy head
  3. Cycle Detection: Floyd's tortoise and hare algorithm
  4. Fast/Slow Pointers: Finding midpoints, detecting patterns

Interview Structure

Phase 1: Warm-up (5 minutes)

  • "Can you describe what a singly linked list is and how it differs from an array?"
  • "What about a doubly linked list -- when would you use one over the other?"
  • "What is the time complexity of inserting a node at the head of a singly linked list? What about at the tail?"

Phase 2: Core Concepts (15 minutes)

Introduce one pattern at a time with visual explanations:

Pointer Manipulation -- Reversing a List
Visual: Reversing 1 -> 2 -> 3 -> NULL

Step 0:  prev=NULL  curr=1 -> 2 -> 3 -> NULL

Step 1:  Save next = curr.next (2)
         curr.next = prev
         NULL <- 1    2 -> 3 -> NULL
         Move: prev=1, curr=2

Step 2:  Save next = curr.next (3)
         curr.next = prev
         NULL <- 1 <- 2    3 -> NULL
         Move: prev=2, curr=3

Step 3:  Save next = curr.next (NULL)
         curr.next = prev
         NULL <- 1 <- 2 <- 3
         Move: prev=3, curr=NULL

Done! New head = prev = 3
Result: 3 -> 2 -> 1 -> NULL

Read the full file on GitHub · 305 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 · 305 lines · 68 tokens per session scan A 3f6c09849602

Subscribe to this mod's changes

linked-lists-interviewer is a skill published in the GitHub repository PrepLabsAI/InterviewMentor (99 stars, last pushed 2mo ago), licensed MIT. It adds 68 tokens to every session and 2,855 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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