Benchmark command-line programs with statistical rigor using Hyperfine. Performs warmup runs, detects outliers, exports results in JSON/CSV/Markdown, and supports parameterized benchmarks for comparison.
Scanned 6/8/2026
Install via CLI
openskills install agentskillexchange/skills---
name: "Hyperfine Command-Line Benchmarking Tool"
slug: "hyperfine-command-line-benchmarking-tool"
description: "Benchmark command-line programs with statistical rigor using Hyperfine. Performs warmup runs, detects outliers, exports results in JSON/CSV/Markdown, and supports parameterized benchmarks for comparison."
github_stars: 27797
verification: "security_reviewed"
source: "https://github.com/sharkdp/hyperfine"
category: "Developer Tools"
framework: "Claude Code"
tool_ecosystem:
github_repo: "sharkdp/hyperfine"
github_stars: 27797
---
# Hyperfine Command-Line Benchmarking Tool
Benchmark command-line programs with statistical rigor using Hyperfine. Performs warmup runs, detects outliers, exports results in JSON/CSV/Markdown, and supports parameterized benchmarks for comparison.
## Installation
Use the upstream install or setup path that matches your environment:
- brew install hyperfine
- conda install -c conda-forge hyperfine
- cargo install --locked hyperfine
- Make sure that you use Rust 1.76 or newer.
Requirements and caveats from upstream:
- of helpful Python programs to further analyze benchmark results and create helpful
Basic usage or getting-started notes:
- Cache-clearing commands can be set up before each timing run.
- ### Basic benchmarks
- To run a benchmark, you can simply call hyperfine <command>.... The argument(s) can be any
- Source: https://github.com/sharkdp/hyperfine
- Extracted from upstream docs: https://raw.githubusercontent.com/sharkdp/hyperfine/HEAD/README.md
## Source
- [Agent Skill Exchange](https://agentskillexchange.com/skills/hyperfine-command-line-benchmarking-tool/)
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Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.