interview-doctor-js: Instructions file for Codex

AGENTS.md

interview-doctor-js AGENTS.md is an instructions file for Codex, OpenCode from leestott/interview-doctor-js. It costs 1,316 tokens per session, scanned A, original, MIT.

Repository instructions for Interview Doctor, an offline JavaScript app that prepares people for interviews using their résumé and a job description. It describes the app's tools, structure, and coding rules.

In plain words
What is it for?
Use it when developing, testing, or reviewing the app, including its local AI, SQLite storage, résumé parsing, web server, and retrieval-based question generation.
Why use it?
It helps prevent changes that break the app's offline-only design, such as adding cloud services or internet-dependent features.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md.

This is leestott/interview-doctor-js's own configuration. It tells Codex and OpenCode how to work on interview-doctor-js 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-doctor-js configures →

Reuse

Borrowing it

Nothing to install: this file belongs to leestott/interview-doctor-js. 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/leestott/interview-doctor-js/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/leestott/interview-doctor-js

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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README.md
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Per session 1,316 This file is loaded in full into every session.
When invoked 1,316 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.01316 $0.01316
Opus 5.5 $0.00526 $0.00526
Sonnet 5.5 $0.00263 $0.00263
Haiku 4.5 $0.00132 $0.00132

Measured 2mo ago against content hash 6b75e8a66648, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

interview-doctor-js 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.

AGENTS.md · 125 lines

How it starts

The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Interview Doctor – Agent Instructions

Project Overview

Interview Doctor is an offline, AI-powered interview preparation assistant built with JavaScript, Foundry Local, and SQLite. It uses Retrieval-Augmented Generation (RAG) to generate tailored interview questions based on the user's CV/resume and job description.

Key constraint: This application runs 100% offline. Never introduce cloud dependencies, external API calls, or features that require internet connectivity.

Technology Stack

  • Runtime: Node.js >= 20 (ES modules)
  • AI: Foundry Local via foundry-local-sdk – native ChatClient for inference (no OpenAI shim)
  • Database: SQLite via sql.js – pure JavaScript, no native compilation (TF-IDF vectors for RAG retrieval)
  • PDF: pdf-parse for offline text extraction
  • Web: Express.js server + single-file HTML frontend (no build step, no framework)
  • Tests: Node.js built-in test runner (node:test + node:assert/strict)

Architecture

src/
├── config.js       → Central configuration (model, paths, chunk sizes)
├── chunker.js      → Text chunking + TF-IDF + cosine similarity
├── vectorStore.js  → SQLite-backed vector store for RAG
├── pdfParser.js    → PDF text extraction
├── chatEngine.js   → RAG orchestration + Foundry Local LLM integration
├── prompts.js      → System prompts (full + compact variants)
├── server.js       → Express web server + REST/SSE API
└── ingest.js       → Document ingestion script

Coding Conventions

  • ES modules throughout (import/export, "type": "module" in package.json)
  • No TypeScript — plain JavaScript for simplicity and zero build step
  • Single-file frontend — public/index.html contains all HTML, CSS, and JS inline
  • No frameworks on the frontend — vanilla JavaScript, no React/Vue/etc.
  • Parameterized queries for all SQLite operations (use ? placeholders with arrays, never string concatenation)
  • Async VectorStore — use await VectorStore.create(dbPath) factory method (sql.js is async for init)
  • Path sanitization — all file operations validate paths stay within expected directories
  • Error handling — Express routes catch and log errors, return appropriate HTTP status codes

Read the full file on GitHub · 125 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 · 125 lines · 1,316 tokens per session scan A 6b75e8a66648

Subscribe to this mod's changes

interview-doctor-js AGENTS.md is an instructions file published in the GitHub repository leestott/interview-doctor-js (11 stars, last pushed 7mo ago), licensed MIT. It adds 1,316 tokens to every session, about $0.0053 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.

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