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Install

npx skills add ...

Overview

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Explore Official Add skill Dashboard Pricing

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openai-agents-js
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csv-workbench

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Install

npx skills add openai/openai-agents-js --skill csv-workbench

Overview

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

Also available at

The same skill content is published under more than one repo. The install counts are split across them; any of these commands works.

Different repos, same content

openai/openai-agents-python2 installs

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Repository

openai/openai-agents-js

GitHub stars

3.5k

Updated

Jun 4, 2026

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Gen Agent Trust Hubpass
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Documentation

CSV Workbench

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

Workflow

Inspect the CSV schema first (head, python csv.DictReader, or both).
Compute requested aggregates with a short Python script.
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.

Install

npx skills add openai/openai-agents-js --skill csv-workbench

Overview

Documentation

csv-workbench | SkillBundle

Install

npx skills add openai/openai-agents-js --skill csv-workbench

Overview

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

Also available at

The same skill content is published under more than one repo. The install counts are split across them; any of these commands works.

Different repos, same content

openai/openai-agents-python2 installs

Installs

Repository

openai/openai-agents-js

GitHub stars

3.5k

Updated

Jun 4, 2026

Security

Gen Agent Trust Hubpass
Socketpass
Snykpass

Documentation

CSV Workbench

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

Workflow

Inspect the CSV schema first (head, python csv.DictReader, or both).
Compute requested aggregates with a short Python script.
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.