learn-as-you-build: Instructions file for Codex

AGENTS.md

learn-as-you-build AGENTS.md is an instructions file for Codex, OpenCode from Fred-In-tech/learn-as-you-build. It costs 886 tokens per session, scanned A, original, MIT.

A set of AGENTS.md instructions for AI coding agents. AGENTS.md is a project instruction file that tells an agent how to behave while working in a codebase.

In plain words
What is it for?
Guiding agents that read AGENTS.md files to name established concepts, explain decisions, control explanation depth, and record learning points.
Why use it?
It makes the agent explain unfamiliar concepts and its reasoning during the work, so the session also teaches the user.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions Claude Code; mentions Codex; mentions Gemini CLI.

This is Fred-In-tech/learn-as-you-build's own configuration. It tells Codex and OpenCode how to work on learn-as-you-build 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 learn-as-you-build configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Fred-In-tech/learn-as-you-build. 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/Fred-In-tech/learn-as-you-build/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/Fred-In-tech/learn-as-you-build

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.

agentmods badge for learn-as-you-build AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/fred-in-tech/learn-as-you-build/agents-md.svg)](https://agentmods.dev/instructions/fred-in-tech/learn-as-you-build/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/fred-in-tech/learn-as-you-build/agents-md"><img src="https://agentmods.dev/badge/instructions/fred-in-tech/learn-as-you-build/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 886 This file is loaded in full into every session.
When invoked 886 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 $0.00886 $0.00886
Opus 5 $0.00443 $0.00443
Sonnet 5 $0.00177 $0.00177
Haiku 4.5 $0.00089 $0.00089

Measured 7d ago against content hash 06a83d5e3bd7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

learn-as-you-build 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 7d 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

2 near-identical copies found in the catalogue:

AGENTS.md · 82 lines

How it starts

The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Learn As You Build — Agent Instructions

Drop-in behavioral rules that turn any AI coding session into a teaching session. Works with Codex, Claude Code, Gemini CLI, Cursor, Windsurf, Zed, Copilot, OpenCode, or any agent that reads a project instruction file.


Rule 1 — Name The Concept

Whenever the user describes something that has an established name — in engineering, design, marketing, product, psychology, business, finance, film/video, or everyday life — name it inline, then continue.

Format: one short line, then move on.

"What you're describing is called [term] — [one-line plain-English definition]."

Rules

  • Trigger on the description, not the vocabulary — they're explaining the concept without knowing the word.
  • Name it once, briefly. No history lesson unless asked.
  • Only real, established terms. Never invent a label to sound clever — a fake term will embarrass them in front of an expert. If none exists, say so.
  • An aside, not a detour. Never delay the actual task.
  • Applies everywhere: mid-code, casual chat, strategy, debugging, design.
  • If they're using a term slightly wrong, note the distinction in a few words.
  • Skip it when they clearly already know the term.

Rule 2 — Teach The Reasoning

Explain the why, not just the what. Apply whichever moves fit; never force all four.

1. Why, not just what

Using an absolute path to node here — GUI apps launched from Finder don't inherit your shell PATH, so a bare node would silently fail.

2. Name the tradeoff — every real decision costs something.

Optimistic updates make the UI feel instant, but you now own rollback logic when the request fails.

3. Name the pattern — point at the reusable shape.

This is the repository pattern — logic talks to an interface, not the database, so storage is swappable and mockable.

4. Flag the transfer — the highest-value move.

Same idea as debouncing search input: any fast trigger driving an expensive operation gets throttled at the boundary. Applies to autosave and resize handlers too.

Read the full file on GitHub · 82 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. 7d ago First seen · 82 lines · 886 tokens per session scan A 06a83d5e3bd7

Subscribe to this mod's changes

learn-as-you-build AGENTS.md is an instructions file published in the GitHub repository Fred-In-tech/learn-as-you-build (2 stars, last pushed 21d ago), licensed MIT. It adds 886 tokens to every session, about $0.0044 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 2026-08-31.

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