·evaluating-code-models
</>

evaluating-code-models

orchestra-research/ai-research-skills

Evaluates code generation models across HumanEval, MBPP, MultiPL-E, and 15+ benchmarks with pass@k metrics. Use when benchmarking code models, comparing coding abilities, testing multi-language support, or measuring code generation quality. Industry standard from BigCode Project used by HuggingFace leaderboards.

15Installs·0Trend·@orchestra-research

Installation

$npx skills add https://github.com/orchestra-research/ai-research-skills --skill evaluating-code-models

SKILL.md

BigCode Evaluation Harness evaluates code generation models across 15+ benchmarks including HumanEval, MBPP, and MultiPL-E (18 languages).

Supported languages: Python, JavaScript, Java, C++, Go, Rust, TypeScript, C#, PHP, Ruby, Swift, Kotlin, Scala, Perl, Julia, Lua, R, Racket

| Benchmark | Problems | Languages | Metric | Use Case |

Evaluates code generation models across HumanEval, MBPP, MultiPL-E, and 15+ benchmarks with pass@k metrics. Use when benchmarking code models, comparing coding abilities, testing multi-language support, or measuring code generation quality. Industry standard from BigCode Project used by HuggingFace leaderboards. Source: orchestra-research/ai-research-skills.

View raw

Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/orchestra-research/ai-research-skills --skill evaluating-code-models
Category
</>Dev Tools
Verified
First Seen
2026-02-11
Updated
2026-02-18

Quick answers

What is evaluating-code-models?

Evaluates code generation models across HumanEval, MBPP, MultiPL-E, and 15+ benchmarks with pass@k metrics. Use when benchmarking code models, comparing coding abilities, testing multi-language support, or measuring code generation quality. Industry standard from BigCode Project used by HuggingFace leaderboards. Source: orchestra-research/ai-research-skills.

How do I install evaluating-code-models?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/orchestra-research/ai-research-skills --skill evaluating-code-models Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

Where is the source repository?

https://github.com/orchestra-research/ai-research-skills