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Run Rust Benchmarks

Checked
redisearch·vlatest·backend

Measures Redisearch performance using Rust benchmarks to identify bottlenecks and optimize indexing efficiency.

Repository

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 redisearch/redisearch --skill run-rust-benchmarks -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

redisearch

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 redisearch/redisearch at c8f9d94e77.

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

Commit
c8f9d94e77
Manifest
.skills/run-rust-benchmarks/SKILL.md
Scanned
1 file, 35 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 enables AI agents to execute Rust benchmarks directly within their runtime environment. It facilitates performance testing of Rust code by leveraging pre-configured benchmarking tools and standard libraries available in the agent's execution context.

When to use it

  • Validating the performance characteristics of newly written or refactored Rust modules before production deployment.
  • Comparing the execution speed of different algorithmic implementations written in Rust.
  • Stress-testing backend services built with Rust to identify potential bottlenecks under load.
  • Establishing a baseline for micro-benchmarking specific functions without setting up a separate CI/CD pipeline.

Key capabilities

  • Direct execution of Rust benchmark suites within the agent environment.
  • Integration with standard Rust profiling and timing utilities.
  • Support for running custom benchmark scripts written in Rust syntax.
  • Automated collection of performance metrics during runtime.

Example prompts

  • "Run the criterion benchmark suite on my local sorting.rs module and report the throughput results."
  • "Execute a micro-benchmark comparing the memory allocation overhead of two different data structure implementations in Rust."
  • "Set up and run a stress test using the sysbench crate to evaluate the latency of my new API handler."

Tips & gotchas

Ensure your Rust code is compiled with optimization flags (e.g., -O) before running benchmarks to get accurate performance data. This skill requires the agent to have access to a compatible Rust toolchain and necessary dependencies installed in its environment.