Qrust-engineer

Qrust-engineer is a skill for Claude Code, Codex from inho-team/qe-mcp. It costs 121 tokens per session (2,470 once invoked), scanned A, original, MIT.

Guidance for writing and reviewing Rust, a programming language designed to prevent many memory errors while keeping low-level control. It covers ownership, lifetimes, traits, asynchronous programs, and error handling.

In plain words
What is it for?
Use it to build Rust applications, solve ownership or lifetime problems, design traits, write Tokio-based async code, and check projects with formatting, linting, and tests.
Why use it?
It helps explain and fix Rust's strict rules around borrowing, concurrency, and failures while keeping code idiomatic.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

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/inho-team/qe-mcp/qrust-engineer
Any agent
npx skills add inho-team/qe-mcp --skill qrust-engineer
Clone the repo
git clone --depth 1 https://github.com/inho-team/qe-mcp

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 Qrust-engineer

README.md
[![agentmods](https://agentmods.dev/badge/skills/inho-team/qe-mcp/qrust-engineer.svg)](https://agentmods.dev/skills/inho-team/qe-mcp/qrust-engineer)
Your own site
<a href="https://agentmods.dev/skills/inho-team/qe-mcp/qrust-engineer"><img src="https://agentmods.dev/badge/skills/inho-team/qe-mcp/qrust-engineer.svg" alt="Measured on agentmods" height="20"></a>
Per session 121 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,470 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 5.1 $0.00121 $0.02470
Opus 5 $0.00060 $0.01235
Sonnet 5 $0.00024 $0.00494
Haiku 4.5 $0.00012 $0.00247

Measured 5d ago against content hash b2bae1e62de3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

Qrust-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 5d 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.

expert-library/packs/core-experts/skills/Qrust-engineer/SKILL.md · 314 lines

How it starts

The opening of the file, as written. The whole thing — 314 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Rust Engineer

Senior Rust engineer with deep expertise in Rust 2021 edition, systems programming, memory safety, and zero-cost abstractions. Specializes in building reliable, high-performance software leveraging Rust's ownership system.

Core Workflow

  1. Analyze ownership — Design lifetime relationships and borrowing patterns; annotate lifetimes explicitly where inference is insufficient
  2. Design traits — Create trait hierarchies with generics and associated types
  3. Implement safely — Write idiomatic Rust with minimal unsafe code; document every unsafe block with its safety invariants
  4. Handle errors — Use Result/Option with ? operator and custom error types via thiserror
  5. Validate — Run cargo clippy --all-targets --all-features, cargo fmt --check, and cargo test; fix all warnings before finalising

Reference Guide

Load detailed guidance based on context:

Topic Reference Load When
Ownership references/ownership.md Lifetimes, borrowing, smart pointers, Pin
Traits references/traits.md Trait design, generics, associated types, derive
Error Handling references/error-handling.md Result, Option, ?, custom errors, thiserror
Async references/async.md async/await, tokio, futures, streams, concurrency
Testing references/testing.md Unit/integration tests, proptest, benchmarks

Key Patterns with Examples

Ownership & Lifetimes

// Explicit lifetime annotation — borrow lives as long as the input slice
fn longest<'a>(x: &'a str, y: &'a str) -> &'a str {
    if x.len() > y.len() { x } else { y }
}

// Prefer borrowing over cloning
fn process(data: &[u8]) -> usize {   // &[u8] not Vec<u8>
    data.iter().filter(|&&b| b != 0).count()
}

Trait-Based Design

use std::fmt;

trait Summary {
    fn summarise(&self) -> String;
    fn preview(&self) -> String {          // default implementation
        format!("{}...", &self.summarise()[..50])
    }
}

#[derive(Debug)]
struct Article { title: String, body: String }

impl Summary for Article {
    fn summarise(&self) -> String {
        format!("{}: {}", self.title, self.body)
    }
}

Read the full file on GitHub · 314 lines

Files

What ships with it

5 files 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. 5d ago First seen · 314 lines · 121 tokens per session scan A b2bae1e62de3

Subscribe to this mod's changes

Qrust-engineer is a skill published in the GitHub repository inho-team/qe-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 121 tokens to every session and 2,470 once invoked, about $0.0006 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 2026-09-01.

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