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Rust

Checked
pproenca·vlatest·backend·MIT

Automates Rust code generation, testing, and deployment tasks for efficient backend development workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Installs under a different name. Its SKILL.md names it adversarial-rust, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add pproenca/dot-skills --skill adversarial-rust -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

pproenca

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned pproenca/dot-skills at cf93c57cac.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
cf93c57cac
Manifest
skills/.experimental/adversarial-rust/SKILL.md
Scanned
29 files, 1,465 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

The Rust skill enables AI agents to write, compile, and execute high-performance systems code. It leverages Rust's memory safety guarantees without garbage collection for building robust backend services and tools.

When to use it

  • Developing memory-safe, concurrent network servers or daemons where performance is critical.
  • Creating embedded software or low-level system utilities requiring direct hardware access.
  • Building CLI tools that need to interact efficiently with existing C/C++ libraries via FFI.
  • Prototyping backend logic where strict type safety prevents runtime errors in production environments.

Key capabilities

  • Compiles native machine code for optimal execution speed across multiple platforms.
  • Enforces compile-time memory safety, eliminating common bugs like buffer overflows and data races.
  • Supports ownership-based concurrency models to handle parallel tasks safely.
  • Integrates with the Cargo package manager for dependency management and project scaffolding.

Example prompts

  • "Generate a Rust struct definition for handling user authentication tokens with proper error handling."
  • "Write a concurrent Rust function that processes a large file in chunks using channels."
  • "Create a CLI tool in Rust that parses command-line arguments and outputs JSON configuration."

Tips & gotchas

Ensure your AI agent understands Rust's strict ownership and borrowing rules to avoid compilation errors. While the learning curve is steep, the resulting binaries are portable and require no runtime dependencies like the JVM or .NET CLR.