No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by chengyi-ai · Codex Skill · ★ 167
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is native-subtitle-quote-image safe to install? View the security audit →
原生字幕拼图 Native Subtitle Quote Image · 把真实视频帧变成 3:4 字幕社交长图 原生字幕不重绘；脚本字幕不冒充原字幕。 中文 · English <img src="https://img.shields.io/badge/docs-中文-e11d48?style=flat-square"
| Stars | 167 |
| Forks | 19 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 63.050059359486/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-24 |
| Created | 2026-08-16 |
| Platforms | codex, python |
| Est. Tokens | ~15k |
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native-subtitle-quote-image is 保留视频内嵌字幕，精确取帧并生成 3:4 社交长图的 Agent Skill. It is categorized as a Codex Skill with 167 GitHub stars.
native-subtitle-quote-image is primarily written in Python. It covers topics such as agent-skills, codex, social-media.
You can find installation instructions and usage details in the native-subtitle-quote-image GitHub repository at github.com/chengyi-ai/native-subtitle-quote-image. The project has 167 stars and 19 forks, indicating an active community.
native-subtitle-quote-image is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to native-subtitle-quote-image on Agent Skills Hub include claude-skills, affiliate-skills, openclip. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: