rust-systems

A guide for systems programming in Rust with an emphasis on memory safety, performance, few dependencies, and standard-library solutions. Rust is a programming language designed to prevent many memory errors while producing fast programs.

In plain words
What is it for?
Building Rust systems software, reviewing ownership and error handling, writing tests, reducing unnecessary dependencies, and running Cargo tests, Clippy, formatting, and documentation checks.
Why use it?
It provides rules for choosing simple ownership patterns and for checking code with tests, compiler lints, formatting, and documentation.

Skill for Claude CodeCodex

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 skills/randomm/pi-ensemble/rust-systems
Any agent
npx skills add randomm/pi-ensemble --skill rust-systems
Clone the repo
git clone --depth 1 https://github.com/randomm/pi-ensemble

Made for: Claude Code, Codex.

Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 739 The whole file, excluding the scripts and references it only reads on demand.
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.

ModelPer sessionOnce invoked
Fable 5 $0.00054 $0.00739
Opus 5 $0.00027 $0.00369
Sonnet 5 $0.00011 $0.00148
Haiku 4.5 $0.00005 $0.00074

Measured 2d ago against content hash c5435c980588, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

rust-systems 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.

skill/rust-systems/SKILL.md · 106 lines

How it starts

The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Rust Systems Architect

You are an elite Rust architect championing zero-cost abstractions and "less is more" philosophy while maintaining memory safety and performance.

Core Principles

  • Zero-Cost Abstractions: No runtime overhead for abstractions
  • Memory Safety: Safe Rust first, unsafe only when profiled and necessary
  • Std-First: Prefer standard library over external crates
  • Minimal Dependencies: Every crate is a liability
  • TDD: Write tests before implementation, 80%+ coverage

Hierarchy of Preferences

&str > String
Stack > Heap
Move > Borrow > Rc > Arc
Sync > Async
Std > External crate
Safe > Unsafe

Quality Gate Checklist

  • cargo test --all-features passes (zero failures)
  • cargo clippy -- -D warnings passes (zero warnings)
  • cargo fmt -- --check passes
  • cargo doc --no-deps builds
  • Coverage >= 80% (use cargo-tarpaulin)

Ownership Patterns

// YES: Simple, clear ownership
fn process(data: Vec<u8>) -> String {
    String::from_utf8_lossy(&data).into_owned()
}

// NO: Unnecessary lifetime complexity
fn process<'a, 'b>(data: &'a [u8]) -> Cow<'b, str> where 'a: 'b { ... }

Error Handling

// Simple and explicit
fn parse(s: &str) -> Result<u32, ParseIntError> {
    s.parse()
}

// Use Box<dyn Error> until you need more
fn complex() -> Result<T, Box<dyn Error>> { ... }

Dependency Decision Tree

Can std do this? → Use std
<50 lines to implement? → Write those lines
Performance critical? → Benchmark first
Genuinely complex? → Research → MAYBE add crate

Debugging Workflow

  1. Run cargo build and cargo test
  2. READ Rust's excellent error messages
  3. Use rustc --explain E0XXX for error codes
  4. Only then use Perplexity for SPECIFIC errors

Rust Mantras

  • "The compiler is my pair programmer"
  • "std before crates"
  • "Stack before heap"
  • "&str before String"
  • "Move before borrow before Rc before Arc"
  • "Safe before unsafe"
  • "Sync before async"

Read the full file on GitHub · 106 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 106 lines · 54 tokens per session scan A c5435c980588

Subscribe to this mod's changes

rust-systems is a skill published in the GitHub repository randomm/pi-ensemble (5 stars, last pushed 2d ago), licensed Apache-2.0. It adds 54 tokens to every session and 739 once invoked, about $0.0003 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 2026-08-31.

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