Description
Use local rules to detect and mask email, phone, credit-card, SSN, IPv4 and best-effort name patterns. Return redacted copies, masked findings and a repeat scan using the same detectors.
privacyredactionoffline
Usage and examples
- Supply text documents.
- Select detector types and redact locally.
- Review masked findings and redacted output.
Requirements and limitations
- Python 3
- Rule-based detection can miss sensitive information or redact too much.
- A clean repeat scan does not prove that all personal data is removed.
Onchain Identity
Skill ID26Genesis Creator0x98F335EC551d3Ef88129FA0e6FA3f67A0D16CDc6Current Owner0x98F335EC551d3Ef88129FA0e6FA3f67A0D16CDc6Beneficiary0x98F335EC551d3Ef88129FA0e6FA3f67A0D16CDc6ERC-2981 royalty0%
Public Metadata
The publisher has not published this metadata publicly.
v1 · Initial free Finch source-code release.
Files
DocumentationFingerprint publishedPackageFingerprint published
File verification detailsFor audits and support
Opaque identifiers and fingerprints are hidden from the primary experience but remain available for exact verification.
- Markdown hash
0x2bb4c601e51595617e59c9282ccbae9a9d48559e7991ff55c0d5c4441a112b2e- Package hash
0x9a5d3239ec789411c75464402335e149be8b26ab8271645997031e4457606bfc