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.
Install
npx skills add davila7/claude-code-templates@evaluating-code-modelsRuns in your terminal. Adds the skill globally for Claude Code, Cursor, Codex and others; add -g -y to skip prompts.
What it does
BigCode Evaluation Harness - Code Model Benchmarking Quick Start BigCode Evaluation Harness evaluates code generation models across 15+ benchmarks including HumanEval, MBPP, and MultiPL-E (18 languages). Installation: Evaluate on HumanEval: View available tasks: Common Workflows Workflow 1: Standard Code Benchmark Evaluation Evaluate model on core code benchmarks (HumanEval, MBPP, HumanEval+). Checklist: Step 1: Choose benchmark suite Python code generation (most common): - HumanEval: 164 handwritten problems, function completion - HumanEval+: Same 164 problems with 80× more tests (stricter)…
Excerpt from the skill's own SKILL.md. Read the full file on GitHub before installing: skills run with your agent's permissions.
View source on GitHubBefore you install
Skills are plain text instructions the agent follows, sometimes with scripts. Check the source, prefer repositories with many installs and stars, and read any script it ships.
Categories
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