rag-learning-academy: Instructions file for Codex

AGENTS.md

rag-learning-academy AGENTS.md is an instructions file for Codex, OpenCode from TakaGoto/rag-learning-academy. It costs 1,221 tokens per session, scanned C, a copy of code-overhaul-skill AGENTS.md, MIT.

A project instruction guide for a learning repository that uses Beads, a command-line issue tracker, to manage work. It also defines safe non-interactive commands so coding agents do not stop waiting for confirmation.

In plain words
What is it for?
Use it when working on the repository’s issues, synchronizing changes, or running copy, move, delete, SSH, and package-management commands automatically.
Why use it?
It gives agents a consistent way to find, claim, complete, and synchronize tasks. It prevents common hangs caused by commands that ask for approval during file operations.

Instructions file for CodexOpenCode

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

This is TakaGoto/rag-learning-academy's own configuration. It tells Codex and OpenCode how to work on rag-learning-academy 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 rag-learning-academy configures →

Reuse

Borrowing it

Nothing to install: this file belongs to TakaGoto/rag-learning-academy. 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/TakaGoto/rag-learning-academy/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/TakaGoto/rag-learning-academy

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 rag-learning-academy AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/takagoto/rag-learning-academy/agents-md.svg)](https://agentmods.dev/instructions/takagoto/rag-learning-academy/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/takagoto/rag-learning-academy/agents-md"><img src="https://agentmods.dev/badge/instructions/takagoto/rag-learning-academy/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,221 This file is loaded in full into every session.
When invoked 1,221 The same file — it is already loaded in full.
Security scan C 1 finding. 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 $0.01221 $0.01221
Opus 5 $0.00611 $0.00611
Sonnet 5 $0.00244 $0.00244
Haiku 4.5 $0.00122 $0.00122

Measured 8d ago against content hash d3bdf4a820b6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade C, and why

rag-learning-academy AGENTS.md scanned grade C with 1 finding 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 8d 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.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

rm -rf directory # NOT: rm -r directory
Origin

This is a copy

100% identical to code-overhaul-skill AGENTS.md — 0 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.

AGENTS.md · 151 lines

How it starts

The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Instructions

This project uses bd (beads) for issue tracking. Run bd onboard to get started.

Quick Reference

bd ready              # Find available work
bd show <id>          # View issue details
bd update <id> --claim  # Claim work atomically
bd close <id>         # Complete work
bd sync               # Sync with git

Non-Interactive Shell Commands

ALWAYS use non-interactive flags with file operations to avoid hanging on confirmation prompts.

Shell commands like cp, mv, and rm may be aliased to include -i (interactive) mode on some systems, causing the agent to hang indefinitely waiting for y/n input.

Use these forms instead:

# Force overwrite without prompting
cp -f source dest           # NOT: cp source dest
mv -f source dest           # NOT: mv source dest
rm -f file                  # NOT: rm file

# For recursive operations
rm -rf directory            # NOT: rm -r directory
cp -rf source dest          # NOT: cp -r source dest

Other commands that may prompt:

  • scp - use -o BatchMode=yes for non-interactive
  • ssh - use -o BatchMode=yes to fail instead of prompting
  • apt-get - use -y flag
  • brew - use HOMEBREW_NO_AUTO_UPDATE=1 env var

Issue Tracking with bd (beads)

IMPORTANT: This project uses bd (beads) for ALL issue tracking. Do NOT use markdown TODOs, task lists, or other tracking methods.

Why bd?

  • Dependency-aware: Track blockers and relationships between issues
  • Version-controlled: Built on Dolt with cell-level merge
  • Agent-optimized: JSON output, ready work detection, discovered-from links
  • Prevents duplicate tracking systems and confusion

Quick Start

Check for ready work:

bd ready --json

Create new issues:

bd create "Issue title" --description="Detailed context" -t bug|feature|task -p 0-4 --json
bd create "Issue title" --description="What this issue is about" -p 1 --deps discovered-from:bd-123 --json

Read the full file on GitHub · 151 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. 8d ago First seen · 151 lines · 1,221 tokens per session scan C d3bdf4a820b6

Subscribe to this mod's changes

rag-learning-academy AGENTS.md is an instructions file published in the GitHub repository TakaGoto/rag-learning-academy (18 stars, last pushed 5mo ago), licensed MIT. It adds 1,221 tokens to every session, about $0.0061 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). It is 100% identical to code-overhaul-skill AGENTS.md, differing in 0 lines, and is treated as a copy.

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