What is interview-prep-template AGENTS.md?

A set of instructions for an interview-preparation wiki that turns recordings, notes, reading, and project descriptions into reusable answers and concepts.

It helps organize interview research, process new source files, maintain the wiki, and identify missing or outdated information.

It keeps raw materials separate from the maintained knowledge base, so preparation can build over time without losing the original sources.

How AbhiK189/interview-prep-template configures Codex and OpenCode

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/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/AbhiK189/interview-prep-template

Made for: Codex, OpenCode.

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/abhik189/interview-prep-template/agents-md/github.svg)](https://agentmods.dev/instructions/abhik189/interview-prep-template/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/abhik189/interview-prep-template/agents-md"><img src="https://agentmods.dev/badge/instructions/abhik189/interview-prep-template/agents-md/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/abhik189/interview-prep-template/agents-md"><img src="https://agentmods.dev/badge/instructions/abhik189/interview-prep-template/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 4,478 This file is loaded in full into every session.

When invoked 4,478 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 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.

Model	Per session	Once invoked
Fable 5.1	$0.04478	$0.04478
Opus 5.5	$0.01791	$0.01791
Sonnet 5.5	$0.00896	$0.00896
Haiku 4.5	$0.00448	$0.00448

Measured 2mo ago against content hash 50aa8fc08741, 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 AGENTS.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

Copies of this mod

1 near-identical copy found in the catalogue:

interview-prep-template CLAUDE.md — 100% identical, 4 lines differ

AGENTS.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.

AGENTS.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

AGENTS.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.

2mo ago First seen · 307 lines · 4,478 tokens per session scan A 50aa8fc08741

Subscribe to this mod's changes

interview-prep-template AGENTS.md is an instructions file published in the GitHub repository AbhiK189/interview-prep-template (21 stars, last pushed 4mo ago), licensed MIT. It adds 4,478 tokens to every session, about $0.0179 per session on Opus 5.5. 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.

Learning and teaching Writing and docs

interview-prep-template AGENTS.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
interview-prep-template AGENTS.mdAbhiK189/interview-prep-template	Instructions file	21	4mo ago	MIT	A	4,478	Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	today	MIT	A	9,719	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	today	MIT	A	7,461	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	today	MIT	A	5,516	GitHub Copilot
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	today	MIT	A	4,680	Codex, OpenCode
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	today	MIT	A	3,093	GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness	Instructions file	275k	3d ago	MIT	A	4,313	Codex, OpenCode

interview-prep-template: Instructions file for Codex