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    PII & Data-Leak Scanner

    PII & Data-Leak Scanner

    by JustHandled Labs

    Scan your schemas, seed data, config, and logs for personal data before it leaks. Detects PII-indicating column and key names (email, ssn, phone, address) across SQL, CSV, and JSON, plus PII in the data itself: email addresses, SSN-like numbers, credit-card-like numbers, phone numbers, and PII written into log files. Each finding is flagged with its location and a GDPR-style review note. Heuristic by design: it surfaces what to review, not a compliance guarantee.

    Updated Jun 2026
    Security scanned
    Works with Claude Code

    $15

    · or 75 credits

    30-day refund guarantee

    Secure checkout via Stripe

    Included in download

    • Audit database seed files for real customer data before committing code.
    • Scan server logs for accidental PII logging during local development.
    • terminal, file_read automation included
    • Ready for Works with Claude Code
    • Instant install

    Sample input

    Scan our database seed files and the recent logs in the /tmp folder for any potential PII leaks or sensitive data.

    Sample output

    PII Scan Results

    • CRITICAL: seeds/users.sql:12 - Found SSN-pattern (xxx-xx-xxxx)
    • HIGH: tmp/app.log:142 - Potential email address exposure (admin@company.com)
    • MEDIUM: fixtures/orders.json - Sensitive column name "credit_card_last_four" detected.

    See remediation-snippets.md for fixes.

    About This Skill

    What it does

    The PII Data Leak Scanner is a specialized audit tool designed to identify sensitive Personal Identifiable Information (PII) within your codebase and data artifacts. It performs heuristic scans across SQL schemas, CSV datasets, JSON files, seed data, fixtures, and application logs to detect accidental exposure of emails, SSNs, credit card numbers, and sensitive column names.

    Why use this skill

    Prompting a standard AI to "find PII" often leads to inconsistent results and missed patterns. This skill provides a structured, developer-focused workflow using a dedicated Python scanner and an industry-standard audit checklist. It ensures that before you push code to a public repo or share a database dump, you have an evidence-based report citing exact filenames and line numbers for remediation.

    Supported tools

    • File Formats: .sql, .csv, .json, .log
    • Frameworks: Optimized for Rails/Django/Node seed and fixture directories
    • Standard Library: Pure Python implementation with no external dependencies required

    What the output looks like

    You receive a structured Markdown report categorized by severity (Critical to Info). Each finding includes the file path, line number, the specific evidence found (e.g., a regex match for a phone number), the potential impact, and a templated remediation step you can apply immediately.

    Use Cases

    • Audit database seed files for real customer data before committing code.
    • Scan server logs for accidental PII logging during local development.
    • Verify that fixture files are properly anonymized for integration tests.
    • Generate a PII audit report for sensitive JSON and CSV data exports.

    Reviews

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    Security Scanned

    Passed automated security review

    Permissions

    Terminal / Shell
    Read Files

    File Scopes

    pii-data-leak-scanner/**
    **/*.sql
    **/*.csv
    **/*.json
    **/*.log

    All scanning is local. The bundled scanner reads matching files, prints markdown or JSON findings, and never transmits, uploads, or stores your data anywhere. It installs nothing and modifies nothing. Any write, install, deploy, or live-account action requires explicit user confirmation.

    Works with Claude Code, Codex CLI, Cursor, OpenCode/OpenClaw, Gemini CLI, and other agents that load SKILL.md folders. The bundled scanner uses the Python 3 standard library only and degrades to manual checklist mode when Python or matching files are unavailable.

    Creator

    JustHandled Labs creates focused agent skills and workflow packs for Claude, Codex, Cursor, and AI-assisted builders. Each tool is designed around a real repeatable task: cleaner commits, better PRs, stronger handoffs, safer repo hygiene, clearer documentation, and less copy-paste chaos. The goal is not generic AI productivity. The goal is specific workflows that are easier to run, review, and repeat. Maintained by H.J. Westerfield, with a background in communications, editing, project coordination, customer support, and practical AI systems. JustHandled Labs builds tools for people who want useful automation without theatrical complexity.

    Frequently Asked Questions

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