caption-burnerGet hardcoded captioned videos ready to post, without touching a single slider. Upload your video files (MP4, MOV, AVI, WebM, up to 500MB), say something lik...
Install via ClawdBot CLI:
clawdbot install peand-rover/caption-burnerGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token`Calls external URL not in known-safe list
https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token`AI Analysis
The skill interacts with a documented external API (nemovideo.ai) for its stated purpose of video caption processing, which is consistent with its functionality. While the API endpoint is not on a pre-approved list, there is no evidence of credential harvesting, hidden instructions, or obfiltration of user data beyond the necessary video processing. The primary risk is reliance on an external service not vetted by the platform.
Audited Apr 19, 2026 · audit v1.0
Generated May 20, 2026
Content creators can upload long-form videos (e.g., YouTube tutorials) and burn captions directly into short clips for platforms like TikTok, Instagram Reels, or LinkedIn. This ensures subtitles are permanently visible, increasing accessibility and engagement without manual editing.
Educators and course creators can hardcode subtitles into lecture recordings, making them platform-independent and accessible to non-native speakers or hearing-impaired students. The cloud rendering pipeline delivers 1080p MP4 files ready for LMS upload.
Agencies can upload multiple language subtitle tracks and burn them into source videos, producing region-specific versions without re-encoding. The API's session management allows parallel processing for faster turnaround.
HR teams can batch-process training videos with permanent captions to ensure compliance with accessibility standards (e.g., WCAG). The skill's error handling and credit system support enterprise workflows with audit trails.
Podcasters can extract highlight clips from video podcasts, burn captions for silent viewing (e.g., on LinkedIn or Twitter), and export directly. The fast rendering (30-90 seconds) suits high-volume content schedules.
Offers 100 free credits for anonymous users (valid 7 days) to build awareness, then monetizes via additional token purchases or subscription plans for higher usage limits. The API token system enables easy upsells.
Sell API access to media agencies, e-learning platforms, and content studios with SLAs. The session-based pipeline and error handling support integration into existing production workflows, charging per render or flat monthly fee.
License the caption burning engine as a white-label service for SaaS platforms (e.g., video editing tools, social media schedulers). The skill's API endpoints and header attribution allow seamless embedding under partner branding.
💬 Integration Tip
Start by generating a free token via POST to `/api/auth/anonymous-token` with a UUID client ID; then create a session to get a `session_id` and use it for all subsequent API calls.
Scored May 20, 2026
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