interview-prep-template: Instructions file for Claude Code

CLAUDE.md

interview-prep-template CLAUDE.md is an instructions file for Claude Code from AbhiK189/interview-prep-template. It costs 4,480 tokens per session, scanned A, a copy of interview-prep-template AGENTS.md, MIT.

A set of instructions for maintaining an interview-preparation wiki that turns raw notes and recordings into reusable answers and concepts. A wiki is an organized collection of linked pages.

In plain words
What is it for?
Adding interview notes, processing them into markdown pages, querying the resulting knowledge base, and checking for missing or outdated information.
Why use it?
It separates untouched source material from the synthesized wiki, making preparation knowledge easier to maintain and reuse.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md; mentions AGENTS.md.

This is AbhiK189/interview-prep-template's own configuration. It tells Claude Code how to work on interview-prep-template 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 interview-prep-template configures →

Reuse

Borrowing it

Nothing to install: this file belongs to AbhiK189/interview-prep-template. 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/AbhiK189/interview-prep-template/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/AbhiK189/interview-prep-template

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.

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README.md
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Per session 4,480 This file is loaded in full into every session.
When invoked 4,480 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod 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 $0.04480 $0.04480
Opus 5.5 $0.01792 $0.01792
Sonnet 5.5 $0.00896 $0.00896
Haiku 4.5 $0.00448 $0.00448

Measured 2mo ago against content hash 0416aa2b747a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

interview-prep-template CLAUDE.md 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 2mo 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.

Origin

This is a copy

100% identical to interview-prep-template AGENTS.md — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

CLAUDE.md · 307 lines

How it starts

The opening of the file, as written. The whole thing — 307 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md — Interview Prep Wiki

Purpose

A personal interview prep wiki on a three-layer system (Karpathy's pattern):

  • Layer 1 — sources/: raw material you drop in (mock-interview recordings & transcripts, real-interview & career-chat notes, reading, project descriptions). Content is immutable — you own it, I never edit it. An unprocessed file lives directly in its source folder (e.g. sources/projects/); once I've mined it, I move it into that folder's processed/ subfolder.
  • Layer 2 — wiki/: LLM-maintained markdown synthesizing the sources into reusable answers, frameworks, and concepts. I (the LLM) own this entirely.
  • Layer 3 — this file: how I operate the wiki.

The loop: you drop materials into sources/; I lift the durable content into wiki/ and move the source into processed/; you query me and I answer from the wiki. On lint I flag gaps and stale claims. The wiki is the persistent, compounding artifact.

Targets: interviews for [replace with your target functions — e.g. product management, GTM strategy & operations, engineering] across [N] companies.

Directory layout

sources/                      ← Layer 1 (raw material — content is immutable)
  recordings/                   audio/video of mock interviews       (drop unprocessed files here)
    processed/                    move here once mined
  transcripts/                  verbatim text from mock recordings   (drop unprocessed files here)
    processed/                    move here once mined
  interview-notes/              notes/recall of an interview or chat (drop unprocessed files here)
    processed/                    move here once mined
  reading/                      articles, book chapters, AI news     (drop unprocessed files here)
    processed/                    move here once mined
  projects/                     user's detailed project descriptions (drop unprocessed files here)
    processed/                    move here once mined

wiki/                         ← Layer 2 (you own)
  companies/<company>/
    overview.md                 strategy, products, recent moves
    <role>.md                   role-specific JD, role evaluation framework
  behavioral/<question>.md      one file per potential behavioral question
  frameworks/<name>.md          reusable analytical templates (GTM, AI transformation, prioritization, etc.)
  ai-knowledge/<name>.md        AI domain knowledge
  interview-debriefs/<role>/
  <round>-<date>-<role>.md      per-interview debriefs

CLAUDE.md                     ← this file
index.md                      ← catalog of every wiki page
log.md                        ← chronological record of ingests, lints, structural changes

Read the full file on GitHub · 307 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. 2mo ago First seen · 307 lines · 4,480 tokens per session scan A 0416aa2b747a

Subscribe to this mod's changes

interview-prep-template CLAUDE.md is an instructions file published in the GitHub repository AbhiK189/interview-prep-template (21 stars, last pushed 4mo ago), licensed MIT. It adds 4,480 tokens to every session, about $0.0179 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to interview-prep-template AGENTS.md, differing in 4 lines, and is treated as a copy.

Related

interview-prep-template CLAUDE.md compared with instructions from other repositories

interview-prep-template CLAUDE.md next to 6 instructions from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
interview-prep-template CLAUDE.mdAbhiK189/interview-prep-templateInstructions file214mo agoMITA4,480Claude Code
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next.js AGENTS.mdvercel/next.jsInstructions file143ktodayMITA7,461Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscodeInstructions file195ktodayMITA5,516GitHub Copilot
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vscode copilot-instructions.mdmicrosoft/vscodeInstructions file195ktodayMITA3,093GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file275k3d agoMITA4,313Codex, OpenCode