What is poker_solver AGENTS.md?

Repository instructions for a Texas hold’em poker solver, covering its layout, commands, tests, and coding conventions. Texas hold’em is a card game, and a river subgame solver studies decisions after all but the final betting decisions.

Use it when modifying the solver, running tests or benchmarks, adding experiments, or deciding where new Python, C++, documentation, configuration, and generated results belong.

It gives coding agents the project rules and the expected way to build, test, and organize changes. It also explains that the Python version is the reference for checking the faster C++ version.

poker_solver AGENTS.md — Instructions file for Codex and OpenCode by noambrown: Repository instructions for a Texas hold’em poker solver, co

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/noambrown/poker_solver/agents-md

Clone the repo

git clone --depth 1 https://github.com/noambrown/poker_solver

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/noambrown/poker_solver/agents-md.svg)](https://agentmods.dev/instructions/noambrown/poker_solver/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/noambrown/poker_solver/agents-md"><img src="https://agentmods.dev/badge/instructions/noambrown/poker_solver/agents-md.svg" alt="Measured on agentmods" height="20"></a>

Per session 646 This file is loaded in full into every session.

When invoked 646 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.

Model	Per session	Once invoked
Fable 5.1	$0.00646	$0.00646
Opus 5	$0.00323	$0.00323
Sonnet 5	$0.00129	$0.00129
Haiku 4.5	$0.00065	$0.00065

Measured 5d ago against content hash b25147eca261, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

poker_solver 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 5d 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 · 44 lines

How it starts

The opening of the file, as written. The whole thing — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Repository Guidelines

Project Overview

This repo builds a no-limit Texas hold'em river subgame solver, starting with Kuhn and Leduc poker. Core algorithms include CFR, CFR+, external-sampling MCCFR, Fictitious Play (simul/alt), and FLOP. The Python implementation is the reference; the optimized C++ implementation lives in cpp/. Optimize only after matching Python results.

Project Structure & Module Organization

python/ reference implementation with python/src/algorithms/, python/src/games/, python/src/cli/, and python/tests/.
cpp/ optimized river solver (performance-focused).
docs/ design notes and algorithm references (add if needed).
configs/ run configs (YAML/JSON) for reproducible experiments (add if needed).
scripts/ or experiments/ reproducible runs and benchmarks (add if needed).
artifacts/ generated results; keep large outputs out of git (add if needed).

Build, Test, and Development Commands

Standardize developer commands in a Makefile (add if missing) and keep targets stable:

make setup - install dependencies and tooling.
make test - run the full test suite (all languages present).
make lint - static checks.
make fmt - formatting.
make run LANG=python GAME=kuhn ALGO=cfr - local run for a given game/algorithm. Until a Makefile exists, use direct commands like python -m pytest python/tests.

Coding Style & Naming Conventions

Indentation: 4 spaces, no tabs; keep files ASCII.
Names: snake_case for functions/modules, PascalCase for types, UPPER_SNAKE for constants.
Prefer pure functions and immutable data where practical; centralize RNG and logging.
Tooling: Python uses ruff (format/lint) and mypy (types); Rust uses rustfmt and clippy; C++ uses clang-format and clang-tidy once configured.

Testing Guidelines

Framework: pytest for Python unit and convergence tests.
Naming: python/tests/test_*.py; use deterministic seeds.
Add regression tests for exploitability thresholds on Kuhn/Leduc; ports must match these results.
Coverage: keep algorithm modules at >=90%; justify any exclusions.

Read the full file on GitHub · 44 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.

5d ago First seen · 44 lines · 646 tokens per session scan A b25147eca261

Subscribe to this mod's changes

poker_solver AGENTS.md is an instructions file published in the GitHub repository noambrown/poker_solver (165 stars, last pushed 8mo ago), licensed MIT. It adds 646 tokens to every session, about $0.0032 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.

codex AGENTS.md

AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.

openai/codex · 5,182 tokens

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 6,785 tokens

poker_solver AGENTS.md