Scan a dataset for signs that it has been pre-cleaned, normalised, imputed, smoothed, deduplicated, or otherwise processed before the user received it — data that is "suspiciously clean". Flag findings so the user knows whether they're analysing raw reality or someone else's editorial choices.
How to install forensic-sweep?
danielrosehill/claude-data-analyst-plugin/forensic-sweep
$npx -y skills add danielrosehill/claude-data-analyst-plugin --skill forensic-sweepInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/danielrosehill/claude-data-analyst-plugin" --skill "danielrosehill/claude-data-analyst-plugin/forensic-sweep"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/danielrosehill/claude-data-analyst-plugin" that are relevant to the current task. Run `npx skills add "https://github.com/danielrosehill/claude-data-analyst-plugin"` and select the relevant skills, then follow their instructions.
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