SharpAI/DeepCamera is an open-source camera platform that analyzes surveillance video locally with vision-language models, object detection, and related AI skills. It is for home and CCTV monitoring, and its catalogue skills add pluggable camera capabilities to the platform.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add SharpAI/DeepCamera --skill go2rtc-camerasgit clone --depth 1 https://github.com/SharpAI/DeepCameraWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/sharpai/deepcamera/go2rtc-cameras)<a href="https://agentmods.dev/skills/sharpai/deepcamera/go2rtc-cameras"><img src="https://agentmods.dev/badge/skills/sharpai/deepcamera/go2rtc-cameras/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/sharpai/deepcamera/go2rtc-cameras"><img src="https://agentmods.dev/badge/skills/sharpai/deepcamera/go2rtc-cameras.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00018 | $0.00572 |
| Opus 5.5 | $0.00007 | $0.00229 |
| Sonnet 5.5 | $0.00004 | $0.00114 |
| Haiku 4.5 | $0.00002 | $0.00057 |
Grade A, and why
go2rtc-cameras scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
go2rtc Multi-Camera Streaming
Registers RTSP camera streams with SharpAI Aegis's go2rtc sidecar for low-latency WebRTC live view in the browser.
How It Works
Your Cameras (RTSP) go2rtc (in Aegis) Browser
─────────────────── ───────────────── ───────
rtsp://cam1:554/stream ───► /api/webrtc?src=cam1 ───► WebRTC Player
rtsp://cam2:554/stream ───► /api/webrtc?src=cam2 ───► WebRTC Player
rtsp://cam3:554/stream ───► /api/webrtc?src=cam3 ───► WebRTC Player
Supported Sources
go2rtc accepts any stream source:
rtsp://— standard RTSP camerasrtmp://— RTMP streamshttp://— MJPEG or HLS streamsffmpeg:— FFmpeg pipelineexec:— custom command
Protocol
Skill → Aegis (stdout)
{"event": "ready", "streams": 3}
{"event": "live_stream", "camera_id": "front_door", "camera_name": "Front Door", "url": "rtsp://192.168.1.100:554/stream1"}
{"event": "live_stream", "camera_id": "backyard", "camera_name": "Backyard", "url": "rtsp://192.168.1.101:554/stream1"}
Aegis registers each stream with go2rtc via IPC:
go2rtc:add-stream→ registers camerago2rtc:connection-info→ returns WebRTC URL for player
Setup
python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 63 lines · 18 tokens per session scan A 2bb54f3e0bce
go2rtc-cameras is a skill published in the GitHub repository SharpAI/DeepCamera (3,110 stars, last pushed 1mo ago), licensed MIT. It adds 18 tokens to every session and 572 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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