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evaluating-code-models Review findings

orchestra-researchorchestra-research/ai-research-skillsupdated

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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.
orchestra-research's own description, from the skill's files.
EngineeringAI & agentsResearchskill
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v1
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OverviewSecurity3Versions1

Overview

holdReview findings

Waxell's checks found 3 findings to review, highest severity high.

Highest severity
high
Findings
3
What ran
Static analysis

A clean result means nothing alarming in what is published, not a guarantee. How the checks work

We don't republish the skill's instructions. Read them on GitHub at the reviewed commit.

Security

Security scan

Checked 2 days ago

Result

Review findings Waxell's checks found 3 findings to review, highest severity high.

Checked with static analysis: servers it launches, packages it installs at runtime, scripts piped to a shell and bundled binaries. Nothing was run. How the checks work

Findings (3)

high · 2

  • high

    Tells Claude to install unpinned packages (lctk, sortedcontainers)

    references/benchmarks.md:191 · skill_risk:S2

  • high

    Tells Claude to install unpinned packages (torch)

    references/issues.md:17 · skill_risk:S2

medium · 1

  • medium

    Tells Claude to install packages (torch==1.12.1+cu116)

    references/issues.md:35 · skill_risk:S3

Versions

Version history

Each distinct content we have seen, newest first, with the verdict it got at the time.

One version so far: v1 (1.0.0), seen 2026-11-03.

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