# csvlens

> csvlens — cognis-digital-csvlens. Use this tool when you need to efficiently profile and clean large CSV or Parquet files, solving data quality and preprocessing issues. It provides a fast command-line interface for handling huge files, accepting file paths as input and outputting cleaned and profiled data. Ideal for data preprocessing and quality control tasks, especially when working with big datasets.

Canonical page: https://skillsregistry.net/skills/cognis-digital-csvlens  
JSON: https://api.skillsregistry.net/v1/skills/cognis-digital-csvlens

## Description

Fast CLI for profiling and cleaning huge CSV / Parquet files

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/cognis-digital/csvlens)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "cognis-digital-csvlens"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cognis-digital-csvlens` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cognis-digital-csvlens/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt