lms-front AGENTS.md

lms-front AGENTS.md is an instructions file for Codex, OpenCode from guillermoscript/lms-front. It costs 5,987 tokens per session, scanned A, original, MIT.

Repository instructions for an online learning platform built with Next.js and Supabase, including its development commands, database setup, and architecture.

In plain words
What is it for?
Use them when working on the LMS frontend, running checks, handling PostgreSQL migrations, or understanding its authentication and data-security setup.
Why use it?
They give a coding agent the project-specific rules and commands needed to make changes safely and consistently.

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/guillermoscript/lms-front/agents-md
Clone the repo
git clone --depth 1 https://github.com/guillermoscript/lms-front

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 lms-front AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/guillermoscript/lms-front/agents-md.svg)](https://agentmods.dev/instructions/guillermoscript/lms-front/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/guillermoscript/lms-front/agents-md"><img src="https://agentmods.dev/badge/instructions/guillermoscript/lms-front/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 5,987 This file is loaded in full into every session.
When invoked 5,987 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 $0.05987 $0.05987
Opus 5 $0.02993 $0.02993
Sonnet 5 $0.01197 $0.01197
Haiku 4.5 $0.00599 $0.00599

Measured yesterday against content hash f23018b4537b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

lms-front 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 yesterday.

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 · 526 lines

How it starts

The opening of the file, as written. The whole thing — 526 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Project Overview

LMS V2 is a modern Learning Management System built with Next.js 16 and Supabase. This is a complete rebuild prioritizing exceptional UX for students and teachers. The project uses Row Level Security (RLS) for direct database queries instead of server actions for CRUD operations.

Key Technologies:

  • Next.js 16.1.5 (App Router, React 19)
  • Supabase (PostgreSQL 15, Auth, Storage)
  • Shadcn UI (base-mira theme)
  • Tailwind CSS v4
  • TypeScript (strict mode)
  • Stripe for payments

Commands

Development

npm run dev          # Start development server at http://localhost:3000
npm run build        # Build for production (checks TypeScript/lint errors)
npm run start        # Start production server
npm run lint         # Run ESLint

Database (Supabase)

supabase db pull     # Pull schema from cloud
supabase db push     # Push migrations to cloud
supabase migration new <name>  # Create new migration file

Important: Database migrations are in supabase/migrations/. The database has 44 tables with comprehensive RLS policies.

Available Skills

This project has custom Claude Code skills available in skills/:

/web-design-guidelines

Review UI code for Web Interface Guidelines compliance. Use this skill when:

  • Reviewing UI implementations
  • Checking accessibility compliance
  • Auditing design patterns
  • Ensuring best practices for web interfaces

Usage:

/web-design-guidelines app/dashboard/student/page.tsx
/web-design-guidelines "app/dashboard/**/*.tsx"

This skill fetches the latest Web Interface Guidelines and validates code against them, reporting findings in file:line format.

MCP Integration

This project includes a Model Context Protocol (MCP) server that allows AI assistants like Claude to interact with the LMS database through secure, authenticated tools.

Read the full file on GitHub · 526 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. yesterday First seen · 526 lines · 5,987 tokens per session scan A f23018b4537b

Subscribe to this mod's changes

lms-front AGENTS.md is an instructions file published in the GitHub repository guillermoscript/lms-front (25 stars, last pushed 2d ago), licensed MIT. It adds 5,987 tokens to every session, about $0.0299 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 2026-09-03.