by ishara-madu · Agent Tool · ★ 80
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/ishara-madu/gemini-watermark-remover.gitTaken from the project's README on GitHub.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 80 |
| Forks | 21 |
| Language | HTML |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 63/100 |
| Last Updated | 2026-10-04 |
| Created | 2026-08-05 |
| Platforms | browser, cli, gemini |
| Est. Tokens | ~16k |
✨ Free Gemini & Veo 3 AI Watermark Remover Instantly remove Google Gemini and Veo 3 AI watermarks from images and videos with 100% mathematical precision. Completely free, private, and runs 100% client-side in your web browser.
Looking for a gemini-watermark-remover alternative? If you're comparing gemini-watermark-remover with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
A high-performance, 100% client-side tool for removing the visible Google Gemini ✦ AI sparkle watermark from b
Cross platform CLI tool for removing watermarks from images and videos generated by Google Gemini, Veo, and No
⚠️ On hiatus / not actively maintained — Native desktop client for Google Gemini on Windows, macOS, and Linux.
gemini antigravity 2.0 cli google terminal ai agent tool agy migration guide mcp server plugin slash commands
本地运行的图片/视频去水印与擦除工具，支持 Lama 蒙版修复、SLBR 半透明水印处理，能够批量处理蒙版位置相同的图片与视频中的移动水印
Ruby Implementation of Nano Bots: small, AI-powered bots that can be easily shared as a single file, designed
Explore other popular agent tool tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: