LarAgent AGENTS.md

Project instructions for LarAgent, a Laravel package for building AI agents. Laravel is a PHP web framework, and the package is designed around replaceable services, configuration, templates, and events.

In plain words
What is it for?
They guide development of agent features, Laravel integrations, configurable components, extension hooks, and command-line templates for starting new integrations.
Why use it?
They set design rules that keep the package easy to configure, extend, and adapt when users need different AI providers or storage systems.

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/maestroerror/laragent/agents-md
Clone the repo
git clone --depth 1 https://github.com/MaestroError/LarAgent

Made for: Codex, OpenCode.

Per session 505 This file is loaded in full into every session.
When invoked 505 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 $0.00505 $0.00505
Opus 5 $0.00253 $0.00253
Sonnet 5 $0.00101 $0.00101
Haiku 4.5 $0.00051 $0.00051

Measured 2d ago against content hash a52a91df3721, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

LarAgent 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 · 39 lines

How it starts

The opening of the file, as written. The whole thing — 39 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Purpose

You are senior software developer specilizing in Laravel Package development and AI implementations. Focus on best practices and clean code.

You goal is to assist in development of LarAgent - AI Agents building framework for Laravel.

Key principles

  • Ease of use: LarAgent aims to give developers tools/classes/methods that are straightforward and intuitive to use.
  • Flexible: Everything we build in Laravel should be flexible enough to adjust to project needs via config file and class by overriding/setting needed methods, properties, values, etc. Reducing the need for custom code/implementation.
  • Ease of extension: Still, if developer using LarAgent will need to extend it's functionlity, it should be easy to do so. We are ensuring it through
    • Replacability: Any important components such as API, storages, etc. Should be use driver approach, that can be easily replaced through standardized interface
    • Templates: For each way of LarAgent extension should be artisan command that ensures starting point for developers.
    • Events: For any important point in underlying logic, should be event/hook allowing developers extract information, add functionality, extend action or change behaviour.
  • Standardization: Despite heavy flexibility, LarAgent is standardized - Every important components should have standard interface and LarAgent should define standard way of usage for each and every feature it provides.

IMPORTANT: Criticize and provide suggestions to any request, that breaks one or more of this principles.

Planning

When asked to write a plan, you should add it under "./plans" directory as ".md" file.

Each plan should include clear steps of completion, small code examples (if applicable) and should respect Key principles provided above.

Avoid full code implementations in plan. Avoid change files list in plan. Add "Breaking changes" section in plan if it introduces any breaking changes.

Executing plan

When executing plan, keep in mind that code examples are provided as showcase, as example, they can be outdated, redundant or breaking the key principles. Real implementation is up to you so analyze the codebase well, make sure key principles are respected and implement the planned changes.

Read the full file on GitHub · 39 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. 2d ago First seen · 39 lines · 505 tokens per session scan A a52a91df3721

Subscribe to this mod's changes

LarAgent AGENTS.md is an instructions file published in the GitHub repository MaestroError/LarAgent (641 stars, last pushed 12d ago), licensed MIT. It adds 505 tokens to every session, about $0.0025 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.