---
title: "BigCode Evaluation Harness - Code Model Benchmarking - Air Market"
description: "You need to know how good a model actually is at writing code, and opinions are not enough. This runs it against established coding benchmarks and reports pass@k scores, including across multiple pro…"
canonical: "https://airmarket.ai/app/evaluating-code-models"
---

[Air Market](/) / [Data & Analytics](/category/data) / BigCode Evaluation Harness - Code Model Benchmarking

Skill by [Orchestra Research](/@orchestra-research)

# BigCode Evaluation Harness - Code Model Benchmarking

Find out how well a model really writes code

## What this does

You need to know how good a model actually is at writing code, and opinions are not enough. This runs it against established coding benchmarks and reports pass@k scores, including across multiple programming languages. Reach for it when you are choosing between models or measuring whether one improved.

### Top 3 things it does for you

- Benchmark a code generation model
- Compare two models on coding ability
- Check how a model handles languages beyond one

## Information

**BigCode Evaluation Harness - Code Model Benchmarking at a glance**

|  |  |
| --- | --- |
| Kind | Skill |
| Publisher | [Orchestra Research](/@orchestra-research) |
| Category | [Data & Analytics](/category/data) |
| Works with | Agent Skills - an open standard supported by 40+ agents |
| Version | 1.0.0 |
| Size | 38 KB |
| Licence | MIT |
| Repository | [orchestra-research/ai-research-skills](https://github.com/orchestra-research/ai-research-skills/tree/28f2d29236f2bade2eb92cadb2585189589a5828/11-evaluation/bigcode-evaluation-harness) |
| GitHub stars | 11,987 (as of Nov 2026) |

## Security report

**Verified.** AIR scanned this exact version of BigCode Evaluation Harness - Code Model Benchmarking and flagged nothing. AIR's verdict: **safe**.

**What BigCode Evaluation Harness - Code Model Benchmarking's check was run against**

|  |  |
| --- | --- |
| Commit | 28f2d29236f2bade2eb92cadb2585189589a5828 |
| Content hash | 153b264312b39f411526b844c1af002e27b636a77966b1eee0dc418c64bbfb52 |
| Files read | [Browse the files at this exact commit](https://github.com/orchestra-research/ai-research-skills/blob/28f2d29236f2bade2eb92cadb2585189589a5828/11-evaluation/bigcode-evaluation-harness/SKILL.md) |

A scan is named by the exact content it read, not by a version number. A different version is a different artifact, and nothing here applies to a version AIR has not scanned.

[Read the full security report for BigCode Evaluation Harness - Code Model Benchmarking](/security/evaluating-code-models)

## About BigCode Evaluation Harness - Code Model Benchmarking

This evaluates code generation models across HumanEval, MBPP, MultiPL-E and many other benchmarks, reporting pass@k metrics.

Use it when benchmarking code models, comparing coding abilities, testing multi-language support, or measuring code generation quality.

It is the industry standard from the BigCode Project, used by HuggingFace leaderboards.

## What's inside

- SKILL.md - instructions
- references/benchmarks.md - reference
- references/custom-tasks.md - reference
- references/issues.md - reference

## Questions

### Is BigCode Evaluation Harness - Code Model Benchmarking safe to install?

AIR scanned this exact version of BigCode Evaluation Harness - Code Model Benchmarking and flagged nothing. AIR's verdict: safe. The verdict is named by the content that was read, at commit 28f2d29236f2, so it cannot drift onto a version nobody scanned. The full report is at https://airmarket.ai/security/evaluating-code-models.

### How do I install BigCode Evaluation Harness - Code Model Benchmarking?

Open https://airmarket.ai/app/evaluating-code-models on Air Market and use the install action: Air Market hands Claude a prompt naming this exact skill, and Claude sets it up. Source, pinned to the exact commit this listing describes: https://github.com/orchestra-research/ai-research-skills/tree/28f2d29236f2bade2eb92cadb2585189589a5828/11-evaluation/bigcode-evaluation-harness. Install from that link, not the branch.

## Related on Air Market

- [More Data & Analytics listings](/category/data)
- [Everything by Orchestra Research](/@orchestra-research)

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Canonical URL: <https://airmarket.ai/app/evaluating-code-models>
