MarkdownLLM: Instructions file for Claude Code

AGENTS.md

MarkdownLLM Framework is an instructions file for Claude Code, Codex, OpenCode from JanoshMoshiri/MarkdownLLM. It costs 8,908 tokens per session, scanned A, original, MIT.

A framework for building systems driven by large language models using Markdown files, YAML settings, and Git version history as their stored state.

In plain words
What is it for?
It is for specifying AI-driven systems, organizing domain knowledge, and storing their ongoing state in version-controlled text files.
Why use it?
It gives people a written, reviewable way to define what an AI system knows and how it should work. Git keeps those definitions and changes recorded over time.

Instructions file for Claude CodeCodexOpenCode

Written for Claude Code and Codex and OpenCode: SessionStart hook event, but also the file is AGENTS.md. Also seen: reads .claude/ paths; mentions CLAUDE.md; mentions Claude Code.

This is JanoshMoshiri/MarkdownLLM's own configuration. It tells Claude Code, Codex and OpenCode how to work on MarkdownLLM 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 MarkdownLLM configures →

Reuse

Borrowing it

Nothing to install: this file belongs to JanoshMoshiri/MarkdownLLM. 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/JanoshMoshiri/MarkdownLLM/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/JanoshMoshiri/MarkdownLLM

Made for: Claude Code, 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 MarkdownLLM Framework

README.md
[![agentmods](https://agentmods.dev/badge/instructions/janoshmoshiri/markdownllm/agents-md/github.svg)](https://agentmods.dev/instructions/janoshmoshiri/markdownllm/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/janoshmoshiri/markdownllm/agents-md"><img src="https://agentmods.dev/badge/instructions/janoshmoshiri/markdownllm/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.

agentmods 80×15 button for MarkdownLLM Framework

Your own site · 80×15
<a href="https://agentmods.dev/instructions/janoshmoshiri/markdownllm/agents-md"><img src="https://agentmods.dev/badge/instructions/janoshmoshiri/markdownllm/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 8,908 This file is loaded in full into every session.
When invoked 8,908 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 $0.08908 $0.08908
Opus 5.5 $0.03563 $0.03563
Sonnet 5.5 $0.01782 $0.01782
Haiku 4.5 $0.00891 $0.00891

Measured 3d ago against content hash f623728d0a15, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

MarkdownLLM Framework 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 3d 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 · 316 lines

How it starts

The opening of the file, as written. The whole thing — 316 lines — stays where its author put it; the contents beside it link to each section on GitHub.

MarkdownLLM Framework Agent

What This System Is

This is the MarkdownLLM framework — a specification for building LLM-driven systems where humans define domains, LLMs reason within them, and git-versioned markdown files are the persistent state. The framework is self-describing: its own specifications are things within the framework they define.

A Standing Truth About This Agent

You predict the next move — the next token, sentence, or action — from the stream of what comes next. You cannot predict its consequence the same way. Consequence is recoverable only in retrospect, by reasoning back over moves already made; it is not forecastable forward. Being asked to consider consequences does not change this: you can reason about them, you cannot foresee them. So when a move's consequence could not be recovered after the fact — anything that deletes, sends, spends, or otherwise cannot be taken back — that judgement belongs to the human and to the structure, not to a prediction of yours. Reach for the structure; defer the irreversible. This is orientation, not a hook the floor enforces. Full reasoning: things/insights/consequence-is-recoverable-only-in-retrospect.md.

This authority principle complements rather than replaces ordinary prospective risk analysis: a model can compare plausible outcomes, but cannot certify the future.

Three-Layer Architecture

Every domain in this framework — including the framework itself — follows the same three-layer pattern:

Layer 1: AGENTS.md        ← Entry contract; delivered by the harness route; orchestrates everything
Layer 2: skills/*.md      ← Reusable capabilities loaded by the agent at startup
Layer 3: things/*.md      ← Data instances — the actual content the domain manages
                              ↓
                          Git — accepted state, event stream, and inspectable history
Layer File Pattern Purpose
Agent AGENTS.md Startup instructions, skill inventory, commit conventions, business context
Skills *-specification.skill.md Philosophy, principles, reasoning patterns for the domain
*-read.thing.skill.md How to analyse things without modifying them
*-write.thing.skill.md How to create, update, and validate things
*-workflow.skill.md End-to-end process orchestration
Things things/**/*.md Data instances — every item the domain tracks

Read the full file on GitHub · 316 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. 3d ago Changed · +2 tokens per session f623728d0a15
  2. 16d ago Changed · +1 lines · +70 tokens per session e2a8f492479c
  3. 20d ago Changed · +7 lines · +828 tokens per session 01280aac1533
  4. 21d ago Changed 68aeef270d4b
  5. 29d ago Changed · +206 tokens per session 71fd93215c84
  6. 1mo ago Changed · +21 tokens per session 45f8dd22864f
  7. 1mo ago Changed b58b86380fc2
  8. 1mo ago Changed · +15 tokens per session 7bc2bed53323
  9. 1mo ago Changed · +2 lines · +211 tokens per session 75eb0f0b8a44
  10. 1mo ago First seen · 306 lines · 7,555 tokens per session scan A 38725b3b3d4a

Subscribe to this mod's changes

MarkdownLLM Framework is an instructions file published in the GitHub repository JanoshMoshiri/MarkdownLLM (5 stars, last pushed 4d ago), licensed MIT. It adds 8,908 tokens to every session, about $0.0356 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 2026-08-31.

Related

MarkdownLLM Framework compared with instructions from other repositories

MarkdownLLM Framework next to 6 instructions from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
MarkdownLLM FrameworkJanoshMoshiri/MarkdownLLMInstructions file54d agoMITA8,908Claude Code, Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA9,719GitHub Copilot
next.js AGENTS.mdvercel/next.jsInstructions file143kyesterdayMITA7,461Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchainInstructions file149kyesterdayMITA4,680Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA5,516GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA3,093GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file274k2d agoMITA4,313Codex, OpenCode