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🎬 Subtitle Localization Integrity Gate
Gate localized subtitle cues on timing, anchors, readability profiles, and Unicode hazards.
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You say
Supply a profile with maxCharsPerLine, maxLines, and timingToleranceMs, plus sourceCues and targetCues linked by sourceId and explicit preservedAnchors.
Your agent does
A deterministic PASS, REVIEW, BLOCK, or CANNOT_ASSESS result with stable finding codes, report, manifest, and SHA-256 receipts.
What you get
About this skill
Subtitle Localization Integrity Gate turns owner-supplied normalized evidence into a deterministic local preflight. Localized subtitle files can drop names, numbers, negation, or glossary anchors while timing and line constraints also drift. Links each target cue to supplied source anchors and a language-specific readability profile; it never claims to judge translation quality by string similarity. It makes no network request and performs no import, translation, rewrite, upload, merge, delivery, publication, purchase, message, or account change. Stable findings and SHA-256 receipts support review, while PASS remains explicitly narrower than source truth or authorization.
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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