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Rust Profiling

Checked
mohitmishra786·vlatest·backend·MIT

Analyzes Rust code performance bottlenecks using profiling tools and suggests optimization strategies.

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 mohitmishra786/low-level-dev-skills --skill rust-profiling -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

mohitmishra786

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 mohitmishra786/low-level-dev-skills at bdc58472fa.

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

Commit
bdc58472fa
Manifest
skills/rust/rust-profiling/SKILL.md
Scanned
2 files, 381 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 allows AI agents to analyze and optimize Rust code for performance. It can identify bottlenecks in execution time, memory usage, and other resource consumption metrics. The agent can then suggest or implement changes to improve the efficiency of Rust applications.

When to use it

  • Performance regressions: Investigate why a previously fast Rust application has slowed down after recent changes.
  • Resource constraints: Optimize code running on embedded systems or servers with limited memory and CPU resources.
  • Identifying hot spots: Pinpoint the specific functions or sections of code that consume the most time during execution.
  • Benchmarking new algorithms: Compare the performance of different Rust implementations to choose the most efficient option.

Key capabilities

  • Profiling using perf
  • Analyzing flamegraphs
  • Identifying memory allocation hotspots
  • Suggesting optimization strategies for Rust code

Example prompts

  • "Profile this Rust program and identify any significant bottlenecks."
  • "Generate a flamegraph for the 'sort' function in my application."
  • "Analyze the memory usage of this Rust binary and suggest ways to reduce allocations."

Tips & gotchas

  • Requires access to the Rust code repository and build environment.
  • Profiling can be computationally expensive, especially for large applications.