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    PII & Privacy Leak Gate

    by PubsProToolkit

    1

    An adversarial security gate to detect and redact PII, secrets, and confidential data before sending prompts.

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    See it in action

    You say

    Scan this log for PII before I send it to the support bot: 'Error at 10:15 AM for user john.doe@gmail.com. Connection failed with API_KEY=sk-123456789abc.'

    Your agent does

    Verdict: BLOCK Findings:

    • Email (Medium): j...m (personal identifier)
    • API key (High): ...bc (credential)

    Redacted rewrite: 'Error at 10:15 AM for user [REDACTED_EMAIL]. Connection failed with API_KEY=[REDACTED_API_KEY].'

    What you get

    Redact API keys and secrets from logs before sharing with supportAnonymize customer data in transcripts before LLM analysisPrevent internal hostnames and file paths from leaking to public AI modelsReview agent-generated emails for PII before they are sent to customers

    About this skill

    Protect Sensitive Data Before It Leaves the Boundary

    The PII & Privacy Leak Gate is an adversarial review skill that scans text - prompts, logs, code, or AI outputs - for personal data, secrets, and confidential information. It acts as a final check before you paste sensitive data into a third-party AI or ship agent-generated content downstream.

    How It Works

    The skill runs a structured privacy review, analyzing your input against six categories of sensitive data, including direct identifiers, government and financial IDs, credentials, and confidential business info. It does not just block; it explains the risk and returns a safer version of your text.

    • Risk Assessment: Categorizes findings into High, Medium, and Low severity.
    • Adversarial Logic: Assumes destinations are untrusted, so it errs toward catching more rather than less.
    • Automatic Redaction: Returns a clean rewrite of your text with clear placeholders like [REDACTED_API_KEY] or [REDACTED_EMAIL].
    • Clear Verdict: Every review ends in a single PASS, FLAG, or BLOCK decision with the reasoning shown.

    Why Pay for This?

    Prompting an AI to "be careful" is not enough. This skill applies a structured adversarial framework that forces an explicit PASS/FLAG/BLOCK verdict, so findings are surfaced consistently instead of slipping through. It is a practical guardrail that helps your team catch accidental data exposure, support your privacy and compliance efforts, and avoid credential leaks before text leaves a trusted boundary.

    Built for developers, support and ops teams, and anyone who pastes text into AI tools or ships agent output and wants a last review first.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Listed1 month ago

    Creator

    PubsProToolkit builds rigor-first skills for AI agents — they write your docs and content properly, then adversarially review them to catch what's wrong before it ships. The result: cleaner output and a hard quality gate in one toolkit. Built by a CMPP-certified, PhD medical writer who brings regulated-industry standards to developer docs, content, compliance, and research integrity.

    Frequently Asked Questions

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