---
title: "Profile and clean large CSV datasets from the terminal with qsv"
description: "Inspect, profile, normalize, and diff large CSV files before loading them into downstream analytics or automation workflows."
verification: "listed"
source: "https://github.com/dathere/qsv"
author: "datHere"
publisher_type: "organization"
category:
  - "Data Extraction & Transformation"
framework:
  - "Multi-Framework"
tool_ecosystem:
  github_repo: "dathere/qsv"
  github_stars: 3594
---

# Profile and clean large CSV datasets from the terminal with qsv

Inspect, profile, normalize, and diff large CSV files before loading them into downstream analytics or automation workflows.

## Prerequisites

qsv binary and CSV datasets

## Installation

Choose whichever fits your setup:

1. Copy this skill folder into your local skills directory.
2. Clone the repo and symlink or copy the skill into your agent workspace.
3. Add the repo as a git submodule if you manage shared skills centrally.
4. Install it through your internal provisioning or packaging workflow.
5. Download the folder directly from GitHub and place it in your skills collection.

Install command or upstream instructions:

```
Install qsv for your platform from the project releases or package manager, then use subcommands such as `qsv stats`, `qsv validate`, `qsv diff`, and `qsv apply` as needed for the dataset workflow.
```

## Documentation

- https://qsv.dathere.com

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/profile-and-clean-large-csv-datasets-from-the-terminal-with-qsv/)