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 agentmods add instructions/abhik189/interview-prep-template/agents-mdgit clone --depth 1 https://github.com/AbhiK189/interview-prep-templateWrote 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/instructions/abhik189/interview-prep-template/agents-md)<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="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 | $0.04478 | $0.04478 |
| Opus 5 | $0.02239 | $0.02239 |
| Sonnet 5 | $0.00896 | $0.00896 |
| Haiku 4.5 | $0.00448 | $0.00448 |
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 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- interview-prep-template CLAUDE.md — 100% identical, 4 lines differ
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'sprocessed/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
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.
- 4d ago First seen · 307 lines · 4,478 tokens per session scan A 50aa8fc08741
interview-prep-template AGENTS.md is an instructions file published in the GitHub repository AbhiK189/interview-prep-template (21 stars, last pushed 2mo ago), licensed MIT. It adds 4,478 tokens to every session, about $0.0224 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.
Other instructions, from other repositories
Tutorial_AwesomeModernCPP AGENTS.md
AGENTS.md instructions for Awesome-Embedded-Learning-Studio/Tutorial_AwesomeModernCPP, covering agents.md, 这是什么, 通用 essentials(所有 agent 必读) and 你来做什么?(按场景路由).
open-dictionary AGENTS.md
Instructions for ahpxex/open-dictionary, covering open dictionary rewrite charter, product framing, core workflow, technical framework and 1. raw ingestion layer.
ab900 CLAUDE.md
Instructions for timothywarner-org/ab900, covering claude.md, repository purpose, architecture, commands and 2. non-ascii punctuation -- must return zero.
canvas-lms-mcp AGENTS.md
Instructions for bruchris/canvas-lms-mcp, covering agents.md — canvas lms mcp server, quick start, run with npx (no install needed), or install globally and architecture.
obsidian-university-workflow CLAUDE.md
Instructions for ABO896/obsidian-university-workflow, covering obsidian university workflow, project structure, rules for working on this project, templater api — always read the docs first and config alignment.
architect-ai CLAUDE.md
Instructions for aviraldua93/architect-ai, covering architectai — claude certified architect study tool, architecture, key patterns, exam domains and task statements.