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 ch-bas · Claude Skill · ★ 250
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is cctv-camera-database safe to install? View the security audit →
CCTV Camera Database An open, structured database of 3,431 CCTV / IP camera models and their technical specifications, covering 77 brands across every market segment — from budget consumer WiFi cameras to enterprise PTZ domes and thermal imaging systems. Each camera is a validated JSON file, aggregated into a single queryable dataset (JSON + CSV). Field coverage 📊 Full field-coverage report → COVERAGE.md <img src="assets/cctv-database-showcase.gif" alt="CCTV Camera Database — search 2,884 cameras, browse full specs, copy ready-to-use Frigate configs,
| Stars | 250 |
| Forks | 21 |
| Language | JavaScript |
| Category | Claude Skill |
| Quality Score | 63.779385019299/100 |
| Open Issues | 26 |
| Last Updated | 2026-09-21 |
| Created | 2026-06-06 |
| Platforms | claude-code, node |
| Est. Tokens | ~17k |
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cctv-camera-database is Open database of 12,000+ CCTV camera specs across 150+ brands, with Frigate and ONVIF/RTS integration, CC0. It is categorized as a Claude Skill with 250 GitHub stars.
cctv-camera-database is primarily written in JavaScript. It covers topics such as blue-iris, cctv, cctv-cameras.
You can find installation instructions and usage details in the cctv-camera-database GitHub repository at github.com/ch-bas/cctv-camera-database. The project has 250 stars and 21 forks, indicating an active community.
The top alternatives to cctv-camera-database on Agent Skills Hub include reolink-cli, zmNinjaNg, claude-skill-homeassistant. 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: