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 video-db · Codex Skill · ★ 120
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is skills safe to install? View the security audit →
[![License][license-shield]][license-url] The only perception skill your agent needs. Works with Claude Code, Cursor, Copilot, and other AI agents 📚 Explore the Docs   Watch Demos Why add this Skill This skill gives your agent one consistent interface to: See: Realtime desktop screen, mic and system audio, RTSP streams, ingest files, URLs, YouTube. Understand: Visual understanding, transcribe, index and search moments with playble clips Act: Stream results, trigger alerts on live feeds, edit timelines, generate subtitles and overlays, export clips. What it does VideoDB Skills lets your AI coding agent run end to end, server-side video workflows in real time and batch: Capture desktop screen, mic, and system audio for real t
| Stars | 120 |
| Forks | 8 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 69.1558602932792/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-11 |
| Created | 2026-02-24 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~14k |
These tools work well together with skills for enhanced workflows:
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skills is Server-side video workflows for agents: ingest, understand, search, edit, stream.. It is categorized as a Codex Skill with 120 GitHub stars.
skills is primarily written in Python. It covers topics such as ai, amp, claude.
You can find installation instructions and usage details in the skills GitHub repository at github.com/video-db/skills. The project has 120 stars and 8 forks, indicating an active community.
skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to skills on Agent Skills Hub include agnix, fallow-skills, open-skills. 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: