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🕵️ Document Release Leak Verifier
Verify a final PDF or DOCX for named sensitive terms, hidden text, metadata, comments, revisions, attachments, forms, and embedded content before owner release.
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You say
Manifest names 'Project Lark' and two email addresses as sensitive. Final PDF looks redacted but contains the project name in extracted text and an embedded attachment.
Your agent does
Gate: BLOCK. Critical: named sensitive term remains in extracted content. High: embedded attachment requires removal and independent re-verification. SHA-256 identifies the tested file.
What you get
About this skill
Document Release Leak Verifier is an independent post-redaction gate for final PDF and DOCX files. Supply a manifest naming the document and sensitive terms. The deterministic local helper checks extracted and raw PDF content, metadata, JavaScript, attachments, forms, annotations, multiple revisions, and encryption or parsing uncertainty. For DOCX it checks core properties, comments, tracked changes, hidden text, embedded objects, custom XML, and external relationships. It returns findings, a SHA-256-bound JSON gate, and a review memo. It never changes or transmits the document, and owner approval remains required.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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Creator
JustHandled Labs builds focused agent skills for the work nobody wants to do by hand. Each one is a single repeatable job done well: catching the security and data mistakes that quietly ship, keeping docs and tests honest, gating the commands an agent is about to run, sharpening writing, and handling the founder chores around launches, outreach, and brand setup. Not generic AI productivity. Specific workflows that are easy to run, review, and repeat. Maintained by H.J. Westerfield, with a background in communications, editing, project coordination, customer support, and practical AI systems. Tools for people who want useful automation without theatrical complexity.
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