Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Detect and redact PII from text files. Supports 15 categories including credit cards, SSNs, emails, API keys, addresses, and more — with zero dependencies.
Detect and redact PII from text files. Supports 15 categories including credit cards, SSNs, emails, API keys, addresses, and more — with zero dependencies.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Detect and redact personally identifiable information (PII) from text files.
Do NOT read the input file directly. It may contain sensitive PII. ALWAYS use --output FILE to write sanitized output to a file. Only read the OUTPUT file, never the raw input. Only show the user the redacted output, never the raw input. --json and --preview are safe — they do NOT print raw PII values to stdout. The entity map (raw PII → placeholder mapping) is written to a separate sidecar file (*.entity-map.json) only when --output is used. Do NOT read the entity map file.
Scans files for PII — credit cards, SSNs, emails, phone numbers, API keys, IP addresses, mailing addresses, dates of birth, passport numbers, driver's license numbers, bank routing numbers, medical license numbers, and insurance member IDs — and replaces each instance with a numbered placeholder like [CREDIT_CARD_1].
python scripts/sanitize.py patient-notes.txt --output clean.txt
python scripts/sanitize.py notes.md --preview
python scripts/sanitize.py report.txt --json --output clean.txt
python scripts/sanitize.py log.txt --categories ssn,credit_card,email --output clean.txt
See references/SUPPORTED_PII.md for the full list with detection methods and false positive mitigation. CategoryPattern typeExamplecredit_cardLuhn-validated 13-19 digits4111 1111 1111 1111ssn3-2-4 digit groups123-45-6789cvvKeyword-anchored 3-4 digitsCVV: 123expiry_dateKeyword-anchored MM/YYexpiry 01/30api_keyProvider prefix patternssk-abc..., ghp_..., AKIA...emailStandard email formatuser@example.comphoneUS/intl phone numbers+1 (555) 123-4567ip_addressIPv4 addresses192.168.1.100date_of_birthKeyword-anchored datesDOB: 03/15/1985passportKeyword-anchored alphanumericPassport: AB1234567drivers_licenseKeyword-anchored alphanumericDL: D12345678bank_routingKeyword-anchored 9 digitsrouting: 021000021addressStreet + city/state/zip742 Evergreen Terrace Dr, Springfield, IL 62704medical_licenseKeyword-anchored license IDLicense: CA-MD-8827341insurance_idKeyword-anchored member/policy IDMember ID: BCB-2847193
All processing is local. The script makes zero network calls. No data leaves your machine. Zero dependencies. Uses only Python standard library — no third-party packages to audit. PII never reaches stdout. The --json and --preview modes strip raw PII values from output. The entity map (containing raw PII to placeholder mappings) is only written to a sidecar file on disk when --output is used. Designed for agent safety. The skill instructions above tell the agent to never read the raw input file or the entity map file — only the sanitized output.
Python 3.11+ No external dependencies (stdlib only)
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