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Hoare Rust Origins

Checked
copyleftdev·vlatest·backend·Apache-2.0

Analyzes Rust code's memory safety properties based on Hoare logic principles to identify potential issues.

Install on your platform

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

  1. 1

    Run this in your project

    terminal
    $ npx skills add copyleftdev/sk1llz --skill hoare-rust-origins -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

copyleftdev

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 copyleftdev/sk1llz at 92361f525f.

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

Scanned
1 file, 209 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

What it does

This skill provides access to foundational knowledge and code related to Tony Hoare's contributions to Rust programming. It allows AI agents to understand and apply concepts like ownership, borrowing, lifetimes, and other core features of the language as originally envisioned by Hoare. This enables more robust and efficient Rust code generation and understanding.

When to use it

  • Generating Rust code snippets: When you need an agent to produce correct and idiomatic Rust code for a specific task.
  • Explaining Rust concepts: To help users understand the nuances of ownership, borrowing, and lifetimes in Rust.
  • Debugging Rust programs: When analyzing existing Rust code or identifying potential memory safety issues.
  • Translating algorithms to Rust: To ensure accurate and performant implementations when porting logic from other languages.

Key capabilities

  • Understanding of Hoare's original design principles for Rust.
  • Knowledge of ownership, borrowing, and lifetimes.
  • Ability to generate idiomatic Rust code.
  • Explanation of core Rust language features.

Example prompts

  • "Explain the concept of borrowing in Rust."
  • "Write a Rust function that uses ownership correctly to process a vector of strings."
  • "How do lifetimes prevent dangling pointers in Rust?"

Tips & gotchas

The skill's effectiveness is dependent on the agent’s existing understanding of programming concepts. While it provides foundational knowledge, some familiarity with software development will improve results.