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Run3 question processor

Skill cxcscmu/SkillLearnBench/skills/b3-teacher-feedback-gemini-3.1-flash-lite-preview/enterprise-information-search/run3_question_processor

Use this to ingest the task file and orchestrate the multi-step retrieval and formatting workflow.From its SKILL.md

Install
npx -y skills add cxcscmu/SkillLearnBench --skill run3_question_processor

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

0.6 KB, 108 tokens by cl100k_base, as published. Nobody here has run it

To execute the task:

  1. Load Data: Read /root/question.txt to parse the question ID and the raw question query.
  2. Process Loop: For each question, invoke the enterprise_data_retrieval skill to get the raw answer data.
  3. Aggregate: Store results in a local dictionary and calculate tokens for each entry using the logic defined in answer_formatter_and_tracker.
  4. Finalize: Use answer_formatter_and_tracker to write the finalized dict to /root/answer.json.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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