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Financial data policy

Authorized local use

Agents may read every file in the Robopato repository and copy real financial documents for local development, parser validation, migration, and compatibility testing. This permission does not authorize committing that material or sending it to external services.

Real financial data may exist only in ignored local directories and local databases. Use these repository-root directories:

Location Purpose
data/ Local working data and database storage
documents/ Source documents copied from Robopato
imports/ Local import inputs and intermediate results
uploads/ and media/ Application-managed local files
exports/ User exports and generated reports
backups/ Database and application backups

Verify the destination with git check-ignore before copying financial data. Keep local credentials in ignored .env files; .env.example may contain only non-secret examples. Keep sensitive execution output out of shared transcripts.

Git boundary

Never add real financial data to Git. This includes raw documents, database dumps, copied excerpts, snapshots, logs, screenshots, generated reports, and documentation containing identifying transaction data. Ignoring a file does not remove data that was already tracked. Never use force-add to bypass this policy.

Committed tests and examples must use synthetic or irreversibly sanitized data. Use tests/fixtures/synthetic/ for explicitly synthetic CSV, TXT, and PDF fixtures. A fixture exception in .gitignore is not evidence that its contents are safe. Sanitization must remove identifying information and prevent recovery of the original sensitive data; changing a name alone is insufficient.

Before every commit, inspect git diff --cached --name-only and git diff --cached, including newly added fixtures, for financial data and secrets. When uncertain whether material is safe, stop and ask the owner.

Runtime handling

Use separate least-privilege development and application database accounts. Record actor, source, timestamp, and outcome for imports and material changes. Treat audit records, errors containing source rows, and test output derived from real documents as financial data. Use synthetic data for shareable diagnostics.

If sensitive material is accidentally tracked, stop propagation and notify the owner. Do not push it or rewrite history without explicit authorization.