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Run2 setup repo environment

Skill cxcscmu/SkillLearnBench/skills/b3-teacher-feedback-gemini-3-flash-preview/nlp-paper-reproduction/run2_setup_repo_environment

[COLM'26] SkillLearnBench is the first benchmark for evaluating continual learning methods that automatically generate agent skills.

Install
npx -y skills add cxcscmu/SkillLearnBench --skill run2_setup_repo_environment

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What its author says it does

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Aligns the local environment with the repository's requirements by checking for dependency files, installing build-essential tools for complex packages like DeepSpeed, and logging environment metadata.

SKILL.md

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  1. Identify Dependencies: Check the /root/SimPO directory for environment.yml, requirements.txt, or pyproject.toml.
  2. Align Python Version: If a specific version is required by environment.yml, attempt to use that version.
  3. Install Build Tools: Ensure the system has tools required for compiling C++/CUDA extensions (common in NLP repos for deepspeed or flash-attn):
    • apt-get update && apt-get install -y build-essential libaio-dev
  4. Install Packages:
    • If requirements.txt exists: pip install -r requirements.txt.
    • Ensure torch, numpy, and transformers are compatible with the versions mentioned in the repo.
  5. Log Environment Info:
    • Run python -VV > /root/python_info.txt
    • Run python -m pip freeze >> /root/python_info.txt
    • This ensures the exact state used for the loss computation is recorded for reproducibility.

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