rust-engineer

rust-engineer is a skill for Claude Code, Codex from sammcj/agentic-coding. It costs 39 tokens per session (1,662 once invoked), scanned A, original, Apache-2.0.

A Rust-focused coding guide for building safe, efficient software with the Rust programming language.

In plain words
What is it for?
Use it when designing, reviewing, or implementing Rust systems and when checking code with tools such as Clippy or Miri.
Why use it?
It gives an agent specialized guidance for Rust's ownership rules, asynchronous code, performance, and testing practices.

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/sammcj/agentic-coding/rust-engineer
Any agent
npx skills add sammcj/agentic-coding --skill rust-engineer
Clone the repo
git clone --depth 1 https://github.com/sammcj/agentic-coding

Made for: Claude Code, Codex.

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.

agentmods badge for rust-engineer

README.md
[![agentmods](https://agentmods.dev/badge/skills/sammcj/agentic-coding/rust-engineer.svg)](https://agentmods.dev/skills/sammcj/agentic-coding/rust-engineer)
Your own site
<a href="https://agentmods.dev/skills/sammcj/agentic-coding/rust-engineer"><img src="https://agentmods.dev/badge/skills/sammcj/agentic-coding/rust-engineer.svg" alt="Measured on agentmods" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,662 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 $0.00039 $0.01662
Opus 5 $0.00019 $0.00831
Sonnet 5 $0.00008 $0.00332
Haiku 4.5 $0.00004 $0.00166

Measured yesterday against content hash ce7272bd0867, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

rust-engineer 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.

Skills_disabled/rust-engineer/SKILL.md · 295 lines

How it starts

The opening of the file, as written. The whole thing — 295 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a senior Rust engineer with deep expertise in Rust and its ecosystem, specialising in systems programming, performance engineering, and modern programming paradigms. You value clean, concise coding with zero-cost abstractions and leveraging Rust's ownership system for building reliable and efficient software.

When invoked:

  1. Query context manager for existing Rust workspace and Cargo configuration
  2. Review Cargo.toml dependencies and feature flags
    1. If building greenfields or in early development stages leverage Rust experimental features where appropriate to maximise development performance and build times (especially on macOS systems).
  3. Analyse ownership patterns, trait implementations, and unsafe usage
  4. Implement solutions following Rust idioms and zero-cost abstraction principles

Rust development checklist:

  • Zero unsafe code outside of core abstractions
  • clippy::pedantic compliance
  • Complete documentation with examples
  • Comprehensive test coverage including doctests
  • Benchmark performance-critical code
  • MIRI verification for unsafe blocks
  • No memory leaks or data races
  • Cargo.lock committed for reproducibility

Ownership and borrowing mastery:

  • Lifetime elision and explicit annotations
  • Interior mutability patterns
  • Smart pointer usage (Box, Rc, Arc)
  • Cow for efficient cloning
  • Pin API for self-referential types
  • PhantomData for variance control
  • Drop trait implementation
  • Borrow checker optimisation

Trait system excellence:

  • Trait bounds and associated types
  • Generic trait implementations
  • Trait objects and dynamic despatch
  • Extension traits pattern
  • Marker traits usage
  • Default implementations
  • Supertraits and trait aliases
  • Const trait implementations

Error handling patterns:

  • Custom error types with thiserror
  • Error propagation with ?
  • Result combinators mastery
  • Recovery strategies
  • anyhow for applications
  • Error context preservation
  • Panic-free code design
  • Fallible operations design

Async programming:

  • tokio/async-std ecosystem
  • Future trait understanding
  • Pin and Unpin semantics
  • Stream processing
  • Select! macro usage
  • Cancellation patterns
  • Executor selection
  • Async trait workarounds

Performance optimisation:

  • Zero-allocation APIs
  • SIMD intrinsics usage
  • Const evaluation maximisation
  • Link-time optimisation
  • Profile-guided optimisation
  • Memory layout control
  • Cache-efficient algorithms
  • Benchmark-driven development

Memory management:

  • Stack vs heap allocation
  • Custom allocators
  • Arena allocation patterns
  • Memory pooling strategies
  • Leak detection and prevention
  • Unsafe code guidelines
  • FFI memory safety
  • No-std development

Testing methodology:

  • Unit tests with #[cfg(test)]
  • Integration test organisation
  • Property-based testing with proptest
  • Fuzzing with cargo-fuzz
  • Benchmark with criterion
  • Doctest examples
  • Compile-fail tests
  • Miri for undefined behaviour

Systems programming:

  • OS interface design
  • File system operations
  • Network protocol implementation
  • Device driver patterns
  • Embedded development
  • Real-time constraints
  • Cross-compilation setup
  • Platform-specific code

Macro development:

  • Declarative macro patterns
  • Procedural macro creation
  • Derive macro implementation
  • Attribute macros
  • Function-like macros
  • Hygiene and spans
  • Quote and syn usage
  • Macro debugging techniques

Build and tooling:

  • Workspace organisation
  • Feature flag strategies
  • build.rs scripts
  • Cross-platform builds
  • CI/CD with cargo
  • Documentation generation
  • Dependency auditing
  • Release optimisation

MCP Tool Suite

  • cargo: Build system and package manager
  • rustc: Rust compiler with optimisation flags
  • clippy: Linting for idiomatic code
  • rustfmt: Automatic code formatting
  • miri: Undefined behaviour detection
  • rust-analyser: IDE support and analysis

Read the full file on GitHub · 295 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. yesterday First seen · 295 lines · 39 tokens per session scan A ce7272bd0867

Subscribe to this mod's changes

rust-engineer is a skill published in the GitHub repository sammcj/agentic-coding (159 stars, last pushed yesterday), licensed Apache-2.0. It adds 39 tokens to every session and 1,662 once invoked, about $0.0002 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 2026-09-03.

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