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 steipete · Agent Tool · ★ 146
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is camsnap safe to install? View the security audit →
📸 camsnap — One command to grab frames, clips, or motion alerts from your cams (RTSP/ONVIF). Install / Run Homebrew (installs automatically): Requirements for source run: Go 1.22+ and on PATH. Run in-place: Camera name may be positional (e.g., ). If is omitted, snap/clip writes to a temp file and prints the path. Config Stored at (XDG). Per-camera defaults supported: , , , , , (for tokenized RTSP such as UniFi Protect). Add a camera For UniFi Protect (RTSP token), enable RTSP in Protect, copy the stream URL, and add it with the token path: Snapshot sh go run ./cmd/camsnap snap kitchen --out shot.jpg or rely on per-camera defaults; set as needed: --rtsp-transport tcpgortsplib For Protect tokenized streams: go run ./cmd/camsnap snap ssg15-livingroom --path Bfy47SNWz9n2WRrw --out shot.jpg (Longer timeouts like --timeout 20s may help Protect streams deliver the first key
| Stars | 146 |
| Forks | 17 |
| Language | Go |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 71.9309595369623/100 |
| Last Updated | 2026-10-01 |
| Created | 2025-12-02 |
| Platforms | cli, go |
| Est. Tokens | ~16k |
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camsnap is CLI to capture snapshots, short clips, and run motion detection against RTSP/ONVIF came ras. It is categorized as a Agent Tool with 146 GitHub stars.
camsnap is primarily written in Go. It covers topics such as ai, camera, snapshot.
You can find installation instructions and usage details in the camsnap GitHub repository at github.com/steipete/camsnap. The project has 146 stars and 17 forks, indicating an active community.
camsnap is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to camsnap on Agent Skills Hub include yutu, openclip, wonda. 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: