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.
npx agentmods add instructions/simonw/llm/agents-mdgit clone --depth 1 https://github.com/simonw/llmWhat 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 | $0.00100 | $0.00100 |
| Opus 5 | $0.00050 | $0.00050 |
| Sonnet 5 | $0.00020 | $0.00020 |
| Haiku 4.5 | $0.00010 | $0.00010 |
Grade A, and why
llm 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.
What it actually says
AGENTS.md
This project uses a Python environment for development and tests.
Setting up a development environment
- Install the project with its test dependencies:
pip install -e '.[test]' - Run the tests:
pytest
Building the documentation
Run the following commands if you want to build the docs locally:
cd docs
pip install -r requirements.txt
make html
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.
- 2d ago First seen · 25 lines · 100 tokens per session scan A 5e9c4e82c564
llm AGENTS.md is an instructions file published in the GitHub repository simonw/llm (12,432 stars, last pushed 10d ago), licensed Apache-2.0. It adds 100 tokens to every session, about $0.0005 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.
Other instructions, from other repositories
atomic-agents AGENTS.md
Instructions for Eigenwise/atomic-agents, covering atomic agents monorepo, what is this repository?, core philosophy, monorepo structure and package details.
gptme AGENTS.md
AGENTS.md instructions for gptme/gptme, covering agent instructions for gptme, git workflow, code style, testing and project structure.
prompty copilot-instructions.md
Instructions for microsoft/prompty, covering prompty v2 — complete rebuild plan, what prompty uses from the typra-generated model, key design decisions, python coding rules and environment & tooling.
graphiti AGENTS.md
Instructions for getzep/graphiti, covering repository guidelines, project structure & module organization, build, test, and development commands, coding style & naming conventions and testing guidelines.
autocontext AGENTS.md
Instructions for greyhaven-ai/autocontext, covering agent guide, pick the right surface, working directories, setup and parity-last changes.
AstrBot copilot-instructions.md
Copilot instructions for AstrBotDevs/AstrBot, covering astrbot development instructions, working effectively, bootstrap and install dependencies, running the application and dashboard build (vue.js/node.js).