Agent skill

Go2rtc Cameras

by SharpAI in SharpAI/DeepCamera

Multi-camera RTSP to WebRTC streaming via go2rtc. An agent skill from SharpAI/DeepCamera.

MITAuto-check passedAI & LLM Engineering

Install Go2rtc Cameras

skills CLI
$ npx skills add SharpAI/DeepCamera --skill go2rtc-cameras -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install SharpAI/DeepCamera go2rtc-cameras --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/SharpAI/DeepCamera.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/streaming/go2rtc-cameras .claude/skills/go2rtc-cameras && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
go2rtc-cameras
GitHub stars
3.1k
Token cost
~450 tokens
SKILL.md length
70 words
Files
3 (incl. scripts)
Skills in repo
15
Repo updated
First seen
Licence
MIT

At a glance

Multi-camera RTSP to WebRTC streaming via go2rtc. An agent skill from SharpAI/DeepCamera.

  • AI & LLM Engineering work in your project
  • SKILL.md covers How It Works, Supported Sources, Protocol and Setup
  • Runs Python scripts from its folder; calls python3 and pip

What it does

Go2rtc Cameras is an agent skill from SharpAI/DeepCamera. Multi-camera RTSP to WebRTC streaming via go2rtc

Its SKILL.md is about 450 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/stream.py`).

It sits in AI & LLM Engineering. The repository describes itself as: Open-Source AI Camera Skills Platform, AI NVR & CCTV Surveillance. Local VLM video analysis with Qwen, DeepSeek, SmolVLM, LLaVA, YOLO26. LLM-powered agentic security camera agent… The licence is MIT.

When your agent uses it

  • AI & LLM Engineering work in your project

Example prompts

  • “/go2rtc-cameras”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 933dcc7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3
    • pip

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Go2rtc Cameras loads about 450 tokens when it runs. Until then it costs about 16 tokens; SKILL.md has 70 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~16
When it runs · the whole SKILL.md, loaded when a task matches
~450

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from SharpAI/DeepCamera at commit 933dcc7, republished under its MIT licence (© SharpAI). 70 words, ~450 tokens.

Download SKILL.mdSave it as .claude/skills/go2rtc-cameras/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
go2rtc-cameras
description
Multi-camera RTSP to WebRTC streaming via go2rtc
version
1.0.0

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 cameras
  • rtmp:// — RTMP streams
  • http:// — MJPEG or HLS streams
  • ffmpeg: — FFmpeg pipeline
  • exec: — custom command

Protocol

Skill → Aegis (stdout)
jsonl
{"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 camera
  • go2rtc:connection-info → returns WebRTC URL for player

Setup

bash
python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt

© SharpAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (scripts) in skills/streaming/go2rtc-cameras of SharpAI/DeepCamera.

  • SKILL.md
  • requirements.txt
  • scripts/stream.py

Open the folder on GitHubat commit 933dcc7

Compare with similar skills

Go2rtc Cameras next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Go2rtc Cameras compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Go2rtc Cameras this skillSharpAI/DeepCamera3.1k—~450Automated safety check: PassMIT
Agent BuildershareAI-lab/learn-claude-code78k6 repos~1.2kAutomated safety check: PassMIT
Add Uint Supportpytorch/pytorch104k2 repos~2.3kAutomated safety check: PassCustom licence
Peft Fine TuningOrchestra-Research/AI-Research-SKILLs13k9 repos~3.1kAutomated safety check: PassMIT
Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs13k9 repos~3.3kAutomated safety check: PassMIT
1passwordtrpc-group/trpc-agent-go1.8k15 repos~656Automated safety check: PassApache-2.0

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Questions about Go2rtc Cameras

What does Go2rtc Cameras do?

Multi-camera RTSP to WebRTC streaming via go2rtc. An agent skill from SharpAI/DeepCamera. Go2rtc Cameras is an agent skill from SharpAI/DeepCamera.

When should I use Go2rtc Cameras?

Go2rtc Cameras fits situations like: AI & LLM Engineering work in your project.

How do I install Go2rtc Cameras in Claude Code?

Run `npx skills add SharpAI/DeepCamera --skill go2rtc-cameras -a claude-code`. Or copy the skill folder (skills/streaming/go2rtc-cameras in SharpAI/DeepCamera) into .claude/skills/go2rtc-cameras in your project. Claude Code loads it when a task matches its description.

How do I install Go2rtc Cameras in Codex?

Run `npx skills add SharpAI/DeepCamera --skill go2rtc-cameras -a codex`. Or copy the skill folder (skills/streaming/go2rtc-cameras in SharpAI/DeepCamera) into .agents/skills/go2rtc-cameras in your project. Codex loads it when a task matches its description.

Can I use Go2rtc Cameras in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add SharpAI/DeepCamera --skill go2rtc-cameras -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/go2rtc-cameras, .gemini/skills/go2rtc-cameras, .github/skills/go2rtc-cameras and .opencode/skills/go2rtc-cameras in your project.

What does Go2rtc Cameras need to run?

Going by SKILL.md and its folder, Go2rtc Cameras needs Python for the scripts in its folder and the command-line tools its instructions call (python3 and pip). Our summary lists: Python 3.

Does Go2rtc Cameras access the network?

SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Go2rtc Cameras safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Go2rtc Cameras use?

Go2rtc Cameras is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Go2rtc Cameras use?

About 450 tokens (SKILL.md is roughly 1.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Go2rtc Cameras?

Skills that share tags, products or a category with Go2rtc Cameras: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars), Peft Fine Tuning (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Go2rtc Cameras?

SharpAI (a GitHub organization) maintains it in SharpAI/DeepCamera, which has 3,089 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on September 17, 2026.

Source: SharpAI/DeepCamera on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.