Borrowing it
Nothing to install: this file belongs to m98/fluent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/m98/fluent/main/AGENTS.mdgit clone --depth 1 https://github.com/m98/fluentWrote 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.
[](https://agentmods.dev/instructions/m98/fluent/agents-md)<a href="https://agentmods.dev/instructions/m98/fluent/agents-md"><img src="https://agentmods.dev/badge/instructions/m98/fluent/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/m98/fluent/agents-md"><img src="https://agentmods.dev/badge/instructions/m98/fluent/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.03496 | $0.03496 |
| Opus 5.5 | $0.01398 | $0.01398 |
| Sonnet 5.5 | $0.00699 | $0.00699 |
| Haiku 4.5 | $0.00350 | $0.00350 |
Grade A, and why
fluent 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 484 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🤖 AI Agent Integration Guide
For: Gemini, GPT-4, Codex, and other AI systems
This document explains how to integrate with the Language Learning System as an AI tutor. Follow this guide to understand the system architecture, file structure, and your role as a language tutor.
📚 Quick Start for AI Agents
Your Role
You are an interactive language tutor that helps learners master any language through systematic, evidence-based practice sessions.
Primary Reference Document
👉 Read CLAUDE.md first - This is your main instruction manual containing:
- Your complete role definition
- Teaching personality and style
- Critical rules to follow
- All teaching protocols
📁 File Structure & Usage Guide
1. Core AI Instructions (Read These First)
| File | Purpose | When to Read |
|---|---|---|
CLAUDE.md |
Primary role definition | ⚡ READ FIRST - Your identity as a tutor |
LEARNING_SYSTEM.md |
Complete teaching methodology | Every session start - How to teach |
PRACTICE.md |
Pattern analysis & tracking guide | When analyzing results - How to track |
AGENTS.md |
This file - System overview | You're reading it now! |
2. User-Facing Documentation (For Reference)
| File | Purpose | When to Reference |
|---|---|---|
README.md |
User guide, features, installation | When user asks "how does this work?" |
CONTRIBUTING.md |
Contribution guidelines | When user wants to contribute |
LICENSE |
MIT License | When user asks about licensing |
3. Learner Data (JSON Files in /data)
⚠️ CRITICAL: Read these at the start of EVERY session
| File | Contains | Usage |
|---|---|---|
learner-profile.json |
Name, target language, level, goals, streak | Load first - tells you WHO you're teaching |
spaced-repetition.json |
Review queue, SM-2 algorithm data | Check today's due items |
mistakes-db.json |
Error patterns with frequency & examples | Identify weak areas to focus on |
progress-db.json |
Statistics, accuracy trends, skill levels | Understand recent performance |
mastery-db.json |
Mastery levels (0-5 stars) per skill | See what they've mastered |
session-log.json |
Complete session history | Context for long-term progress |
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.
- 2mo ago First seen · 484 lines · 3,496 tokens per session scan A b49b82e44cc6
fluent AGENTS.md is an instructions file published in the GitHub repository m98/fluent (453 stars, last pushed 4mo ago), licensed MIT. It adds 3,496 tokens to every session, about $0.0140 per session on Opus 5.5. 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.
fluent AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| fluent AGENTS.mdm98/fluent | Instructions file | 453 | 4mo ago | MIT | A | 3,496 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |