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csv-workbench

✓ Official★ 27,600

by openai · part of openai/openai-agents-python

Analyze CSV files in /mnt/data and return concise numeric summaries.

🔥🔥🔥✓ VerifiedFreeQuick setup
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🧩 One of 7 skills in the openai/openai-agents-python package — works on its own, and pairs well with its siblings.

Analyze CSV files in /mnt/data and return concise numeric summaries.

Inspect the full instructions your agent will receiveExpand

This is the exact playbook injected into your agent when the skill activates — shown here so you can audit it before installing. You don't need to read it to use the skill.

name: csv-workbench description: Analyze CSV files in /mnt/data and return concise numeric summaries.

CSV Workbench

Use this skill when the user asks for quick analysis of tabular data.

Workflow

  1. Inspect the CSV schema first (head, python csv.DictReader, or both).
  2. Compute requested aggregates with a short Python script.
  3. Return concise results with concrete numbers and units when available.

Constraints

  • Prefer Python stdlib for portability.
  • If data is missing or malformed, state assumptions clearly.
  • Keep the final answer short and actionable.