livestream-engineer

livestream-engineer is a skill for Claude Code, Codex from daffy0208/ai-dev-standards. It costs 18 tokens per session (3,261 once invoked), scanned A, original, MIT.

A coding guide for adding live video, audio, screen sharing, and chat to applications. It explains WebRTC, a browser technology for real-time communication between devices, and covers broadcasting, video calls, webinars, and similar services.

In plain words
What is it for?
Building peer-to-peer video calls, live broadcasts, screen sharing, real-time chat, video-conferencing tools, and webinar or live-event features.
Why use it?
Real-time media involves browser permissions, peer connections, streaming, and communication details that are easy to implement incorrectly. The guide provides relevant patterns and examples for these tasks.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Building peer-to-peer video calls, live broadcasts, screen sharing, real-time chat, video-conferencing tools, and webinar or live-event features.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/daffy0208/ai-dev-standards/livestream-engineer
Install

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.

Any agent
npx skills add daffy0208/ai-dev-standards --skill livestream-engineer
Clone the repo
git clone --depth 1 https://github.com/daffy0208/ai-dev-standards

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for livestream-engineer

README.md
[![agentmods](https://agentmods.dev/badge/skills/daffy0208/ai-dev-standards/livestream-engineer/github.svg)](https://agentmods.dev/skills/daffy0208/ai-dev-standards/livestream-engineer)
Your own site
<a href="https://agentmods.dev/skills/daffy0208/ai-dev-standards/livestream-engineer"><img src="https://agentmods.dev/badge/skills/daffy0208/ai-dev-standards/livestream-engineer/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.

agentmods 80×15 button for livestream-engineer

Your own site · 80×15
<a href="https://agentmods.dev/skills/daffy0208/ai-dev-standards/livestream-engineer"><img src="https://agentmods.dev/badge/skills/daffy0208/ai-dev-standards/livestream-engineer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,261 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00018 $0.03261
Opus 5 $0.00009 $0.01631
Sonnet 5 $0.00004 $0.00652
Haiku 4.5 $0.00002 $0.00326

Measured 10d ago against content hash 33ed294fe6fb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

livestream-engineer 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 10d 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.

skills/livestream-engineer/SKILL.md · 539 lines

How it starts

The opening of the file, as written. The whole thing — 539 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Livestream Engineer Skill

I help you build live streaming features, implement WebRTC, and create real-time broadcasting experiences.

What I Do

Live Streaming:

  • WebRTC peer-to-peer video
  • Live broadcasting
  • Screen sharing
  • Real-time chat

Streaming Platforms:

  • Twitch-style streaming
  • Video conferencing
  • Live events
  • Webinars

WebRTC Basics

Peer-to-Peer Video Call

// lib/webrtc.ts
export class WebRTCConnection {
  private peerConnection: RTCPeerConnection
  private localStream: MediaStream | null = null

  constructor() {
    this.peerConnection = new RTCPeerConnection({
      iceServers: [{ urls: 'stun:stun.l.google.com:19302' }]
    })
  }

  async startLocalStream() {
    try {
      this.localStream = await navigator.mediaDevices.getUserMedia({
        video: true,
        audio: true
      })

      this.localStream.getTracks().forEach(track => {
        this.peerConnection.addTrack(track, this.localStream!)
      })

      return this.localStream
    } catch (error) {
      console.error('Failed to get local stream:', error)
      throw error
    }
  }

  async createOffer() {
    const offer = await this.peerConnection.createOffer()
    await this.peerConnection.setLocalDescription(offer)
    return offer
  }

  async handleAnswer(answer: RTCSessionDescriptionInit) {
    await this.peerConnection.setRemoteDescription(answer)
  }

  async handleOffer(offer: RTCSessionDescriptionInit) {
    await this.peerConnection.setRemoteDescription(offer)
    const answer = await this.peerConnection.createAnswer()
    await this.peerConnection.setLocalDescription(answer)
    return answer
  }

  addIceCandidate(candidate: RTCIceCandidateInit) {
    return this.peerConnection.addIceCandidate(candidate)
  }

  onTrack(callback: (stream: MediaStream) => void) {
    this.peerConnection.ontrack = event => {
      callback(event.streams[0])
    }
  }

  onIceCandidate(callback: (candidate: RTCIceCandidate) => void) {
    this.peerConnection.onicecandidate = event => {
      if (event.candidate) {
        callback(event.candidate)
      }
    }
  }

  close() {
    this.localStream?.getTracks().forEach(track => track.stop())
    this.peerConnection.close()
  }
}

Read the full file on GitHub · 539 lines

Files

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.

Changes

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.

  1. 10d ago First seen · 539 lines · 18 tokens per session scan A 33ed294fe6fb

Subscribe to this mod's changes

livestream-engineer is a skill published in the GitHub repository daffy0208/ai-dev-standards (36 stars, last pushed 8mo ago), licensed MIT. It adds 18 tokens to every session and 3,261 once invoked, about $0.0001 per session on Opus 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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