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 eternityspring · Claude Skill · ★ 554
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is reelbench-skills safe to install? View the security audit →
reelbench-skills 视频侧的 Claude Code / Codex skill。 安装 软链到 和/或 （哪个装了就装到哪）， 之后立刻生效。 依赖只有 = 18 和 / （macOS：）。 零 npm 依赖、零 API key，用当前会话额度。 不想软链就直接拷：——skill 自包含，拷走就能用。 示例 是拿 （202.9 秒的 AI 短片《啥是AI》）真跑出来的完整产物： 53 镜、平均镜长 3.83 秒、每分钟 15.7 切、14 道质量门全绿。 是同一套流程跑一条 30 秒英文广告片的产物（，报告全英文）。 报告是单文件交互页：内嵌播放器（播放时同步高亮镜头、点镜头跳转）、镜头节奏带、 可搜索可筛选可排序的镜头表（列表 / 卡片两种视图、首尾关键帧并排、点图开大图）、 统计分布、出场人物、质量检查。零外部依赖，离线双击能开。
| Stars | 554 |
| Forks | 75 |
| Language | HTML |
| Category | Claude Skill |
| License | Apache-2.0 |
| Quality Score | 65.5205672327872/100 |
| Last Updated | 2026-09-14 |
| Created | 2026-09-11 |
| Platforms | claude-code |
| Est. Tokens | ~16k |
These tools work well together with reelbench-skills for enhanced workflows:
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reelbench-skills is Learning notes and tooling skills for AI video - AI 视频相关的学习与工具 skill. It is categorized as a Claude Skill with 554 GitHub stars.
reelbench-skills is primarily written in HTML. It covers topics such as ai-video, claude-code, claude-skills.
You can find installation instructions and usage details in the reelbench-skills GitHub repository at github.com/eternityspring/reelbench-skills. The project has 554 stars and 75 forks, indicating an active community.
reelbench-skills is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to reelbench-skills on Agent Skills Hub include claude-video-vision, narrator-ai-cli-skill, Claude-Code-Everything-You-Need-to-Know. 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: