agentleFS
uswuthuswuth/rustoria/AGENTS.md

rustoria

AGENTS.md0 starsChanged 35 days agoMITView on GitHub

This repository is a Rust engineering skill system for AI coding agents.

The file

We split this AGENTS.md into the rules it gives an agent

3 rules. About 0 are common, 1 is distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Native Rust first: Prefer std over third-party crates.

    line 39
  2. Very specific:

    No blocking in async: Use spawn_blocking or async-native crates.

    line 40
  3. Distinctive:

    Always: analyze first, plan second, modify third, validate fourth.

    line 50

≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
AGENTS.md

Agent Instructions

This repository is a Rust engineering skill system for AI coding agents.

Quick start

  1. Load the root router (SKILL.md) for any Rust task.
  2. Route to the appropriate skill based on the task.
  3. Load references when deep dives are needed.
  4. Consult examples for compile-tested patterns.

Skill catalog

Native core

  • rust-fundamentals — language basics
  • rust-std — standard library API discovery
  • rust-production — production engineering
  • rust-debugging — debugging
  • rust-unsafe-checker — unsafe Rust review
  • rust-dependencies — dependency management

Security

  • rust-code-audit — repository security audit

Library extensions

  • rust-tokio — async runtime
  • rust-axum — HTTP
  • rust-serde — serialization
  • rust-diesel — databases
  • rust-rayon — parallelism
  • rust-clap — CLI
  • rust-ratatui — TUI

Principles

  • Native Rust first. Prefer std over third-party crates.
  • No blocking in async. Use spawn_blocking or async-native crates.
  • No casual unwrap() in production paths.
  • Version-sensitive advice names its version.
  • Examples use edition 2021.

Agent execution safety

  • Read-only actions (inspect, search, analyze, explain, review) are always safe.
  • Mutating actions (create, modify, delete, install, commit, push, execute) require user awareness.
  • Destructive operations require explicit user confirmation.
  • Always: analyze first, plan second, modify third, validate fourth.

Validation

bash scripts/validate.sh
bash scripts/test-triggers.sh

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.