monoprop AGENTS.md

A repository instruction file for monoprop, a C++ and Python library that models how Majorana and Pauli operators change through computations.

In plain words
What is it for?
Use it when adding features, fixing bugs, refactoring, documenting, formatting, or testing the monoprop library and its Python bindings.
Why use it?
It tells a coding agent which language standards, formatting, linting, commit style, and project structure to follow before changing code.

Instructions file for CodexOpenCode

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/algorithmiq/monoprop/agents-md
Clone the repo
git clone --depth 1 https://github.com/Algorithmiq/monoprop

Made for: Codex, OpenCode.

Per session 3,468 This file is loaded in full into every session.
When invoked 3,468 The same file — it is already loaded in full.
Security scan C 1 finding. 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.

ModelPer sessionOnce invoked
Fable 5 $0.03468 $0.03468
Opus 5 $0.01734 $0.01734
Sonnet 5 $0.00694 $0.00694
Haiku 4.5 $0.00347 $0.00347

Measured 2d ago against content hash f944242c522a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade C, and why

monoprop AGENTS.md scanned grade C with 1 finding 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.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

- Use `rm -rf build` to clear environment-specific builds
AGENTS.md · 198 lines

How it starts

The opening of the file, as written. The whole thing — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Instructions for monoprop

monoprop is a high-performance C++/Python hybrid library implementing Majorana and Pauli propagation. The project combines modern C++23 with Python bindings via nanobind.

Repository rules

  • C++23: All C++ code must use C++23 features and idioms.
  • Auto style: Use clang-format with the provided .clang-format file
  • Python code must pass lints as defined in pre-commit hooks.
  • We use conventional commits with syntax: <type>(<optional scope>): <gitmoji> <description>:
    • Commit body and footers are optional.
    • Breaking changes should have ! in the commit message.
    • <type> can only be one of:
      • feat: new feature, preserving the API. This corresponds to a minor version bump.
      • fix: bug fix. This corresponds to a patch version bump.
      • docs: changes to the documentation. No functional changes.
      • style: formatting, i.e. running black. No functional changes.
      • refactor: refactoring production code, i.e. improving class structure. No functional changes.
      • test: adding/refactoring tests, i.e. improving code coverage. No functional changes.
      • chore: "boring" tasks, i.e. updating dependency pins in pyproject.toml. No functional changes.
  • If you make a commit, add a trailer: Assisted-by: <harness>:<model>, where <harness> is the current agent harness (like ClaudeCode), and <model> is the AI model (like claude-opus-4.8). You don't need to add a coauthored-by when you have this.
  • PR titles must adhere to the same conventional commits format. PR text should follow the PR template in the .github folder.
  • Prefix PR descriptions and comments on PRs with the line ":robot: AI text below :robot:" to indicate you are an agent speaking on a user's behalf.
  • Python docstrings use Google style, and are rendered into the docs site by just gen-api — keep them accurate.
  • In prose docs (docs/content/docs/**.mdx) and Python docstrings, link to API symbols with the mkdocstrings-style [Symbol][] reference (or [Display][fully.qualified.path]) — never hard-code /api/... URLs. Do not backtick the name in the [Symbol][] form. See docs/content/docs/documenting.mdx.
  • C++ comments: bare // for one-line comments, /* */ for block comments.
  • Add Doxygen Qt-style documentation on all declarations in header files. Put documentation after members in enums, structs, classes.
  • Comments state what the code cannot: invariants, ordering and lifetime contracts, sign and bit conventions, and why an obvious alternative was rejected. Do not restate the code, narrate history (git has it), or repeat a fact that already has a home elsewhere.

Read the full file on GitHub · 198 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. 2d ago First seen · 198 lines · 3,468 tokens per session scan C f944242c522a

Subscribe to this mod's changes

monoprop AGENTS.md is an instructions file published in the GitHub repository Algorithmiq/monoprop (43 stars, last pushed 3d ago), licensed Apache-2.0. It adds 3,468 tokens to every session, about $0.0173 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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