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benchmark-qed-setup Skill

AI Agent SkillPythonOpen source

Initialize and configure benchmark-qed workspaces for RAG benchmarking. Use when: setting up a new benchmarking project, initializing config files for question generation or evaluation, downloading sample datasets, or modifying benchmark-qed settings.yaml configuration. Also use when the user mentions "benchmark-qed co Published by microsoft in benchmark-qed.

What is benchmark-qed-setup Skill?

Initialize and configure benchmark-qed workspaces for RAG benchmarking. Use when: setting up a new benchmarking project, initializing config files for question generation or evaluation, downloading sample datasets, or modifying benchmark-qed settings.yaml configuration. Also use when the user mentions "benchmark-qed co Published by microsoft in benchmark-qed. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
49/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Developers using benchmark-qed

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use benchmark-qed-setup Skill

  • Use it for developers using benchmark-qed.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/benchmark-qed
  • Skill file: .apm/skills/benchmark-qed-setup/SKILL.md

What it does

Initialize and configure benchmark-qed workspaces for RAG benchmarking. Use when: setting up a new benchmarking project, initializing config files for question generation or evaluation, downloading sample datasets, or modifying benchmark-qed settings.yaml configuration. Also use when the user mentions "benchmark-qed co

Skill instructions

Benchmark-QED Workspace Setup Initialize workspaces, generate configuration files, download datasets, and manage settings for the benchmark-qed RAG benchmarking tool. Prerequisites benchmark-qed requires Python 3.11+ and uv. Run commands with uvx to avoid installing globally: bash uvx --from "git+https://github.com/microsoft/benchmark-qed" benchmark-qed <command Pin a specific version for reproducibility: bash uvx --from "git+https://github.com/microsoft/benchmark-qed@v1.2.3" benchmark-qed <command If uvx is unavailable, install uv first: bash pip install uv && uvx --from "git+https://github.com/microsoft/benchmark-qed" benchmark-qed <command Procedure Step 1 — Initialize a Workspace Option A (Recommended): Interactive wizard The interactive wizard guides you through configuration with sensible defaults: bash uvx --from "git+https://github.com/microsoft/benchmark-qed" benchmark-qed init <rootdirectory This walks through: - Config type selection (autoq, autoepairwise, autoereference, au

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Frequently asked questions

What is benchmark-qed-setup?

benchmark-qed-setup is a open-source AI agent skill with Copy skill directory. Initialize and configure benchmark-qed workspaces for RAG benchmarking. Use when: setting up a new benchmarking project, initializing config files for question generation or evaluation, downloading.

Who is benchmark-qed-setup best for?

benchmark-qed-setup is best for reusing agent instructions, scripts, and references.

How do I install benchmark-qed-setup?

Install or run benchmark-qed-setup using Copy skill directory. Check benchmark-qed-setup for the latest setup command.

Is benchmark-qed-setup actively maintained?

benchmark-qed-setup may need a closer maintenance check before production use.

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91
Forks
18
Last commit
13 days ago
Repository age
1 year
License
MIT

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benchmark-qed-setup: Install, Config & GitHub Signals – SkillIndex