A local-first data processing toolkit for ingesting, transforming, and querying CSV and JSON files directly from the command line.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install dataview
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install dataview using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
DataView is a robust data processing engine designed to streamline the way developers interact with raw datasets. As a featured part of the Openclaw Skills ecosystem, it provides a comprehensive suite of tools for ingesting, transforming, and visualizing data without leaving the terminal. By maintaining a local-only architecture, it ensures maximum privacy and speed for data inspection tasks.
The utility bridges the gap between raw file viewing and complex database queries. Whether you are validating a schema or generating summary statistics, DataView tracks every operation with high-precision timestamps, creating a transparent audit trail of your data manipulation lifecycle.
To integrate this capability into your workflow, ensure you have a Bash environment ready. Follow these steps to set up the tool within the Openclaw Skills framework:
# Create the local data directory
mkdir -p ~/.local/share/dataview/
# Clone the skill or copy the script to your PATH
# Ensure execution permissions are set
chmod +x dataview
# Run a health check to verify the installation
dataview status
DataView organizes its internal state using a flat-file structure stored in ~/.local/share/dataview/. This simple yet effective schema ensures compatibility with Openclaw Skills and Unix tools.
| Component | File Path | Format |
|---|---|---|
| Operation Logs | [command].log |
`timestamp |
| Global History | history.log |
Chronological activity log |
| Exports | export.[csv/json] |
Structured output data |
| Metadata | Internal stats | Row counts and disk usage |
pipeline command.set -euo pipefail ensuring reliability in production scripts.grep, sed, and awk.Loading
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