project

Project-specific coding rules for agentcrdt, a Python project about merging changes to shared data made by multiple agents. The rules cover typing, linting, documentation, tests, and how new features should be added.

In plain words
What is it for?
For guiding Python development in the agentcrdt repository, including new features, public APIs, command-line tests, and package exports.
Why use it?
They give a coding agent consistent expectations for style, tests, exports, and changelog updates when changing the project.

Cursor rule for Cursor

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 rules/sandeep-alluru/agentcrdt/project
Clone the repo
git clone --depth 1 https://github.com/sandeep-alluru/agentcrdt

Made for: Cursor.

Per session 226 This file is loaded in full into every session.
When invoked 226 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin 89% copy Near-identical to another mod 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 $0.00226 $0.00226
Opus 5 $0.00113 $0.00113
Sonnet 5 $0.00045 $0.00045
Haiku 4.5 $0.00023 $0.00023

Measured yesterday against content hash 5fa5b05ae3ff, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

project 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 yesterday.

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.

Origin

This is a copy

89% identical to project — 8 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.cursor/rules/project.mdc · 33 lines

What it actually says

agentcrdt — Cursor Rules

What this project does

Semantic-causal CRDT for agent-mutable world state

Module map

src/agentcrdt/
├── # TODO: fill in after implementation

Invariants — never break these

  • TODO: list invariants

Code style

  • Python 3.10+, fully type-annotated, mypy strict mode
  • Ruff lint rules: E W F I UP B S N SIM RUF PT
  • No print() in library code — use rich.console.Console
  • All public functions and classes must have docstrings
  • Tests: pytest, CliRunner for CLI tests

When adding a new feature

  1. Implement in the appropriate module
  2. Export from init.py, add to all alphabetically
  3. Add tests in tests/test_.py
  4. Update CHANGELOG.md under [Unreleased]
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. yesterday First seen · 33 lines · 226 tokens per session scan A 5fa5b05ae3ff

Subscribe to this mod's changes

project is a cursor rule published in the GitHub repository sandeep-alluru/agentcrdt (0 stars, last pushed 15d ago), licensed MIT. It adds 226 tokens to every session, about $0.0011 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to project, differing in 8 lines, and is treated as a copy.