.claude/skills/remove-watermarkRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
Remove light-colored text watermarks from white-background document images (exam papers, scanned documents). No API key needed - pure local image processing....
These states come from the source or distribution context. None of the entries below are SkillVetAI compatibility test results.
These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.
.claude/skills/remove-watermarkRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/remove-watermarkRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/remove-watermarkRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.
clawhub install @wxttt/remove-watermarkclawhub inspect @wxttt/remove-watermark --version 0.1.0This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.
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The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.
sha256:2550dd725a9f3019a7f9977aafc011c887af2d98b17d79e54f66ee2f0b73ae0fscripts/remove_watermark.pyskill-card.mdSKILL.md- Initial release: Remove watermarks from white-background document images using a pure local Python script. - 4-step semi-automatic workflow: visual region selection, threshold analysis, watermark removal, and verification with auto-retry. - Handles light-colored text overlays, exam paper watermarks, and scanned document contamination. - Region-based removal preferred for minimal text damage; full-image removal supported for scattered watermarks (requires scipy). - Includes detailed troubleshooting and retry guidance for best results. - No API key needed; works entirely offline with only local Python dependencies.