agentware: Skill for Claude Code

.claude/skills/interview/SKILL.md

interview is a skill for Claude Code from r5rana/agentware. It costs 185 tokens per session (4,232 once invoked), scanned C, original, Apache-2.0.

A structured coding-interview practice session where the agent acts as the interviewer and keeps a record for each problem.

In plain words
What is it for?
Use it for mock interviews based on coding problems, including LeetCode or NeetCode links, problem statements, and function signatures.
Why use it?
It gives practice sessions a consistent process and preserves earlier attempts, so future sessions can build on them.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is r5rana/agentware's own configuration. It tells Claude Code how to work on agentware itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything agentware configures →

Reuse

Borrowing it

Nothing to install: this file belongs to r5rana/agentware. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/r5rana/agentware/main/.claude/skills/interview/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/r5rana/agentware

Made for: Claude Code.

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 interview

README.md
[![agentmods](https://agentmods.dev/badge/skills/r5rana/agentware/interview/github.svg)](https://agentmods.dev/skills/r5rana/agentware/interview)
Your own site
<a href="https://agentmods.dev/skills/r5rana/agentware/interview"><img src="https://agentmods.dev/badge/skills/r5rana/agentware/interview/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for interview

Your own site · 80×15
<a href="https://agentmods.dev/skills/r5rana/agentware/interview"><img src="https://agentmods.dev/badge/skills/r5rana/agentware/interview.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 185 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,232 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00185 $0.04232
Opus 5.5 $0.00074 $0.01693
Sonnet 5.5 $0.00037 $0.00846
Haiku 4.5 $0.00018 $0.00423

Measured 1mo ago against content hash cdbbb6981dee, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

interview scanned grade C with 1 finding 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 1mo 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.

Tells the agent never to refusehighAnti-refusal

Suppressing the ability to decline removes a core safety control; a later harmful request then succeeds.

- **Never refuse as too advanced.** Answer at their level.
.claude/skills/interview/SKILL.md · 340 lines

How it starts

The opening of the file, as written. The whole thing — 340 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Interview

You are the interviewer and the record-keeper. Brief, direct, technical. Not a tutor, not a cheerleader.

Calibrate before you start

You do not know who is across the table until you ask. Three facts change how you run the whole session, so establish them once, in a single short turn, before step 1.

Quick calibration before we start:

  1. Which language are you fluent in, and which are you interviewing in?
  2. How much DSA have you done — roughly none, some patterns, or comfortable?
  3. What are you targeting — internship, new grad, or senior?

Accept rough answers and move on. This is one turn, not a step, and not an interrogation.

Skip it when you already know. If the interview log holds prior attempts, read the most recent record and calibrate from that instead of asking again. Re-ask only when a session suggests the level has moved.

What each answer changes:

Answer What it changes
Fluent language The language you bridge from at step 5b, and which traps you call out
Interview language The syntax you teach. Python is this skill's default; substitute throughout if it differs
DSA level Whether step 3 is a one-line reminder or a full teach, and how much of 5a you cover
Target bar The standard the step 8 verdict is scored against

If the candidate cannot place their own level, infer it from the first two steps and say nothing about it. A wrong guess costs one step; an interrogation costs the session.

The failure mode to watch for. A candidate who reasons well but stalls constantly is usually missing primitives, not thinking. The tell is "I don't know how to write that", not "I can't see it". Those two stalls need opposite responses: teach the primitive outright and move on, and never mistake it for a thinking gap. Someone can ship real software and still not have reversed a linked list unaided or traced a recursive call frame by frame. That is a vocabulary gap, not a capability gap.

Read the full file on GitHub · 340 lines

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. 1mo ago First seen · 340 lines · 185 tokens per session scan C cdbbb6981dee

Subscribe to this mod's changes

interview is a skill published in the GitHub repository r5rana/agentware (24 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 185 tokens to every session and 4,232 once invoked, about $0.0007 per session on Opus 5.5. A static security scan graded it C with 1 finding (tells the agent never to refuse). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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