Authorization notice. Lnwjud is dual-use. Only use it on software, sites and systems you own or have explicit permission to test.
Who it is forAn analyst or operations person who receives a spreadsheet or CSV export and needs to check it before using it.
The problemTabular exports often contain type mismatches and odd values that are hard to spot by eye in a large file.
The outcomeA typed audit of the file. The source file is preserved by default.
What you need first
- A Windows, macOS or Linux computer that can run a published lnwjud build
- A local project folder to use as the workspace
- For Codex delegation: Codex access with enough account quota
Steps
- Download the Lnwjud build for your platform from the release page.
- Open Lnwjud and select the folder that contains the CSV or XLSX file as the workspace.
- Open the workflows list and choose Data Audit.
- Select the file and complete the required inputs.
- Review the typed findings and confirm the original file is still in place.
Prompt for your agent
Use the lnwjud repo's Data Audit workflow on <file path> and list the typed findings by column. Verify that the source file is preserved after the audit.
Caveat. Native Office actions depend on platform and provider support, so XLSX handling may differ from one machine to another.
Use this in your AI agent
Ask your agent
Using the Deduped MCP, get the setup steps for engasnm111/lnwjud and "Audit a CSV or XLSX file for data problems"
Add Deduped to Claude Code once
claude mcp add --transport http deduped https://dedupedai.com/mcp
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