evaluating-code-models SKILL.md skillA
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evaluating-code-models from jensen-yao/agents-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
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- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- jensen-yao/agents-skills
- Path
skills/bigcode-evaluation-harness/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0.0, committed Aug 15, 2026
- Size
- 11,696 bytes
- Repository stars
- 5
- License
- MIT
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.
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What the file says
# 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**: ```bash git clone https://github.com/bigcode-project/bigcode-evaluation-harness.git cd bigcode-evaluation-harness pip install -e . accelerate config ``` **Evaluate on HumanEval**: ```bash accelerate launch main.py \ --model bigcode/starcoder2-7b \ --tasks humaneval \ --max_length_generation 512 \ --temperature 0.2 \ --n_samples 20 \ --batch_size 10 \ --allow_code_execution \ --save_generations ``` **View available tasks**: ```bash python -c "from bigcode_eval.tasks import ALL_TASKS; print(ALL_TASKS)" ``` ## Common Workflows ### Workflow 1: Standard Code Benchmark Evaluation Evaluate model on core code benchmarks (HumanEval, MBPP, HumanEval+). **Checklist**: ``` Code Benchmark Evaluation: - [ ] Step 1: Choose benchmark suite - [ ] Step 2: Configure model and generation - [ ] Step 3: Run evaluation with code execution - [ ] Step 4: Analyze pass@k results ``` **Step 1: Choose benchmark suite** **Python code generation** (most common): …
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How to install
mdr add jensen-yao/agents-skills/evaluating-code-models@sha256:7c46e8eb3ca8d4f5The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
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Versions
The registry has recorded 1 version of this file, committed on Aug 15, 2026.
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Source
jensen-yao/agents-skills · 5 stars · license MIT · pushed 2026-10-26 · branch main
API
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Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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