kaipai-skillVideo file → videoscreenclear or hdvideoallinone + spawn-run-task and sessions_spawn (main session). Image → eraser_watermark or image_restoration + blocking...
Install via ClawdBot CLI:
clawdbot install kaipai/kaipai-skillGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/openclaw/openclawUses known external API (expected, informational)
api.telegram.orgAudited Apr 16, 2026 · audit v1.0
Generated May 6, 2026
E-commerce platforms can use Kaipai's eraser_watermark to remove watermarks from product images sourced from suppliers. This ensures clean, professional visuals for listings, enhancing customer trust and conversion rates.
Content creators can upscale and enhance old or low-resolution videos using hdvideoallinone. This improves viewer experience and extends the lifespan of archived footage.
Libraries and museums can restore faded or damaged historical photographs with image_restoration, preserving cultural heritage in digital formats.
Marketing agencies can remove watermarks from stock video clips using videoscreenclear, allowing seamless integration into branded content without licensing conflicts.
Film studios can chain videoscreenclear and hdvideoallinone to first remove watermarks from old films, then enhance quality, all via automated spawn-run-task workflows.
Users purchase a monthly quota of API calls (run-task executions) from the Kaipai platform. The skill consumes from the tenant's MT_AK quota, billed per successful task.
Enterprises pay a flat monthly fee for dedicated integration support, custom pipeline configurations, and priority processing through the skill's spawn-run-task system.
Developers are charged per task (e.g., per watermark removal or restoration) with no upfront commitment. The skill automatically deducts from the account quota.
💬 Integration Tip
Use spawn-run-task with sessions_spawn for all video tasks to avoid blocking the main session, and always pass previous stage output URLs as --input for multi-stage pipelines.
Scored Jun 29, 2026
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