ralph-loop AGENTS.md

A set of coding instructions for keeping software organized and maintainable. It tells the agent to reuse existing code, split oversized files, and handle one task at a time.

In plain words
What is it for?
Use it when implementing or reviewing code, especially when working through tasks in an agent task list. It guides searches for reusable utilities, code organization, file splitting, and task completion.
Why use it?
It reduces duplicated code, hard-to-maintain files, mixed responsibilities, and unfinished batches of work.

Instructions file for CodexOpenCode

Install

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.

agentmods
npx agentmods add instructions/pageai-pro/ralph-loop/agents-md
Clone the repo
git clone --depth 1 https://github.com/PageAI-Pro/ralph-loop

Made for: Codex, OpenCode.

Per session 369 This file is loaded in full into every session.
When invoked 369 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.00369 $0.00369
Opus 5 $0.00185 $0.00185
Sonnet 5 $0.00074 $0.00074
Haiku 4.5 $0.00037 $0.00037

Measured 2d ago against content hash 2c206a238ec8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ralph-loop 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 2d 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 · 49 lines

What it actually says

Code Quality Standards

Always apply these standards to all code you write.

Reuse Before Creating

Before writing new code, analyze existing utilities, components, hooks, helpers and tests:

  1. Search first — grep/glob for similar functionality before implementing
  2. Extend if close — if something exists that's 80% of what you need, extend it
  3. Extract if duplicating — if you're about to copy-paste, extract to shared module instead

File Size & Organization

Keep files between 200-300 lines max. If a file exceeds this:

  1. Split by responsibility — one module = one concern
  2. Extract sub-components — UI pieces that can stand alone should
  3. Separate logic from presentation — hooks/utils in their own files
  4. Group by feature — co-locate related files, not by type

Signs a file needs splitting:

  • Multiple unrelated exports
  • Scrolling to find what you need
  • "Utils" file becoming a junk drawer
  • Component doing data fetching + transformation + rendering

Task Execution

  • One task per invocation. When working from .agent/tasks.json, complete exactly one task, commit, and stop. Never batch multiple tasks.

Code Style

  1. Prefer writing clear code and use inline comments sparingly
  2. Document methods with block comments at the top of the method
  3. Use Conventional Commit format

Test To Verify Functionality

If you didn't test it, it doesn't work.

Verify written code by:

  • Running unit tests
  • Running end to end tests
  • Checking for type errors
  • Checking for lint errors
  • Smoke testing and checking for runtime errors with Playwright
  • Taking screenshots and verifying the UI is as expected
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. 2d ago First seen · 49 lines · 369 tokens per session scan A 2c206a238ec8

Subscribe to this mod's changes

ralph-loop AGENTS.md is an instructions file published in the GitHub repository PageAI-Pro/ralph-loop (294 stars, last pushed 2mo ago), licensed MIT. It adds 369 tokens to every session, about $0.0018 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.