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csv-workbench Skill

AI Agent SkillData & AnalyticsTypeScriptOpen source

Analyze CSV files in /mnt/data and return concise numeric summaries. Published by openai in openai-agents-js.

Decision snapshot

Is this a fit?

Best for

Data analysis, Includes SKILL.md, Reusable instructions

Works with

Compatibility not yet detected.

Access

Permission behavior not yet detected.

Setup

Copy skill directory

Project health

18 days ago · MIT license

Considerations

No specific cautions were detected. Review the source and requested permissions before installing.

What is csv-workbench Skill?

Analyze CSV files in /mnt/data and return concise numeric summaries. Published by openai in openai-agents-js. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
89/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Data analysis
  • Data analysis use cases

Declared skill metadata

  • Source file: examples/tools/skills/csv-workbench/SKILL.md

These fields retain source and confidence evidence from the indexed SKILL.md.

Compatibility and setup

Copy skill directory
  • Install or run with Copy skill directory

When to use csv-workbench Skill

  • Use it for data analysis.

Built with

TypeScriptCopy skill directory

Editorial notes

Source

  • Creator: openai
  • Repository: openai/openai-agents-js
  • Skill file: examples/tools/skills/csv-workbench/SKILL.md

What it does

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

Skill instructions

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.

Verified compatibility and discovery

Frequently asked questions

What is csv-workbench?

csv-workbench is a open-source AI agent skill with Copy skill directory. Analyze CSV files in /mnt/data and return concise numeric summaries.

Who is csv-workbench best for?

csv-workbench is best for reusing agent instructions, scripts, and references, data analysis workflows.

How do I install csv-workbench?

Install or run csv-workbench using Copy skill directory. Check csv-workbench for the latest setup command.

Is csv-workbench actively maintained?

csv-workbench may need a closer maintenance check before production use.

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Stars
3,664
Forks
923
Last commit
18 days ago
Last verified
Aug 25, 2026
Metadata fetched
Aug 25, 2026
Repository age
1 year
License
MIT

Project health auto-fetched from the source repository.

Maintain this resource?

Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.

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