ai-tutor-mcp: Instructions file for Codex

AGENTS.md

ai-tutor-mcp AGENTS.md is an instructions file for Codex, OpenCode from nirholas/ai-tutor-mcp. It costs 363 tokens per session, scanned A, original, Apache-2.0.

A repository guide for coding agents working on an AI tutor project. It explains the repository, its folders, setup, and available commands.

In plain words
What is it for?
Use it to understand the tutor codebase, set it up, and run its commands.
Why use it?
It gives an agent the project context and working instructions it needs before changing code.

Instructions file for CodexOpenCode

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

This is nirholas/ai-tutor-mcp's own configuration. It tells Codex and OpenCode how to work on ai-tutor-mcp 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 ai-tutor-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to nirholas/ai-tutor-mcp. 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/nirholas/ai-tutor-mcp/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/nirholas/ai-tutor-mcp

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.

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README.md
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Your own site
<a href="https://agentmods.dev/instructions/nirholas/ai-tutor-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/nirholas/ai-tutor-mcp/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.

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Your own site · 80×15
<a href="https://agentmods.dev/instructions/nirholas/ai-tutor-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/nirholas/ai-tutor-mcp/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 363 This file is loaded in full into every session.
When invoked 363 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00363 $0.00363
Opus 5.5 $0.00145 $0.00145
Sonnet 5.5 $0.00073 $0.00073
Haiku 4.5 $0.00036 $0.00036

Measured 29d ago against content hash 8c0e713b8a0e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ai-tutor-mcp 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 29d 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 · 41 lines

What it actually says

AGENTS.md

Guidance for AI coding agents working in this repository.

What this is

@three-ws/tutor-mcp v0.1.2. three.ws Pay-As-You-Learn tutor ledger from any AI agent — read a learning session's itemized running tab and close it for an attested invoice. Free, no key, no signer; answering questions is the paid action handled elsewhere.

A Model Context Protocol server. Run it over stdio from any MCP client.

Use it

npx -y @three-ws/tutor-mcp

Full usage, tool list and configuration are in README.md. Machine-readable summaries: llms.txt and llms-full.txt.

Develop

npm install
npm test

Scripts:

  • npm run start: node src/index.js
  • npm run test: node --test "test/**/*.test.mjs"
  • npm run inspect: npx -y @modelcontextprotocol/inspector node src/index.js

Conventions

  • ES modules, Node >=20.
  • Read-only by default. Anything that signs, spends or sends must be an explicit, separately named tool or option, and must never be inferred from untrusted text (token names, memos, listings).
  • Never commit credentials. Configuration comes from environment variables documented in the README.
  • Keep changes small and covered by a test next to the code they change.

Source of truth

This repository is a generated mirror of packages in https://github.com/nirholas/three.ws. Open issues here; send substantial changes as a pull request here or upstream.

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. 29d ago Changed · -11 lines · -98 tokens per session 8c0e713b8a0e
  2. 1mo ago First seen · 52 lines · 461 tokens per session scan A 2f9101fa1bdf

Subscribe to this mod's changes

ai-tutor-mcp AGENTS.md is an instructions file published in the GitHub repository nirholas/ai-tutor-mcp (9 stars, last pushed 29d ago), licensed Apache-2.0. It adds 363 tokens to every session, about $0.0015 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 2026-10-10.

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