join-meeting

join-meeting is a skill for Claude Code from pattern-ai-labs/agentcall. It costs 80 tokens per session (24,229 once invoked), scanned A, original, MIT.

A skill that lets an AI bot join Google Meet, Microsoft Teams, or Zoom video meetings with voice, audio-only, or custom webpage modes.

In plain words
What is it for?
It helps an agent attend meetings, speak and listen, use text-to-speech, and interact through a custom meeting webpage.
Why use it?
It provides the required meeting process and safety guidance so the bot can participate, handle interruptions, and leave the call correctly.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: reads .claude/ paths; mentions subagents; positional $N argument.

Part of the join-meeting plugin — 1 skill shipped together

Good fit It helps an agent attend meetings, speak and listen, use text-to-speech, and interact through a custom meeting webpage.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pattern-ai-labs/agentcall/agentcall
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 pattern-ai-labs/agentcall --skill agentcall
Clone the repo
git clone --depth 1 https://github.com/pattern-ai-labs/agentcall

Made for: Claude Code.

Or install join-meeting, the plugin that ships this one along with the rest of its 1 skill.

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 join-meeting

README.md
[![agentmods](https://agentmods.dev/badge/skills/pattern-ai-labs/agentcall/agentcall/github.svg)](https://agentmods.dev/skills/pattern-ai-labs/agentcall/agentcall)
Your own site
<a href="https://agentmods.dev/skills/pattern-ai-labs/agentcall/agentcall"><img src="https://agentmods.dev/badge/skills/pattern-ai-labs/agentcall/agentcall/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 join-meeting

Your own site · 80×15
<a href="https://agentmods.dev/skills/pattern-ai-labs/agentcall/agentcall"><img src="https://agentmods.dev/badge/skills/pattern-ai-labs/agentcall/agentcall.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 80 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 24,229 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00080 $0.24229
Opus 5.5 $0.00032 $0.09692
Sonnet 5.5 $0.00016 $0.04846
Haiku 4.5 $0.00008 $0.02423

Measured 1mo ago against content hash fa2253c97715, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

join-meeting scanned grade A with 1 finding 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.

The scan reads SKILL.md. This mod also ships 26 executable files (examples/coding-companion/bridge.py, examples/meeting-assistant-smart/assistant.py, examples/meeting-assistant-smart/tools.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- **Before `screenshare.start` (local port):** run `curl http://localhost:PORT/` and verify the response body is the HTML you expect.
SKILL.md · 1,915 lines

How it starts

The opening of the file, as written. The whole thing — 1,915 lines — stays where its author put it; the contents beside it link to each section on GitHub.

join-meeting

IMPORTANT: Read this entire document before joining a meeting. This file contains the CALL_LOOP algorithm (mandatory), active participation rules, safety requirements (leave/cleanup), and mode-specific guidance. Skipping sections will result in broken meeting experiences — the user will be left talking to silence.

IMPORTANT: Read the whole document on every session, not just the parts you remember. This skill is updated frequently — new commands, new events, new recommended patterns (like the event-driven tail -f + Monitor flow in "How to read events") are added often. Do NOT rely on what you remember from previous sessions. Re-read this document each time you start a meeting so you pick up the latest guidance. If unsure whether you are on the latest version, run python scripts/python/check_update.py (see "Checking for Skill Updates").

Join a video meeting as an AI bot with voice and visual presence.

Prerequisites

  • Python 3.10+ (preferred) or Node.js 18+
  • Python dependencies: pip install aiohttp websockets
  • Node.js dependencies: cd scripts/node && npm install
  • For webpage modes: a local HTTP server running on the specified port

API Key Setup

Before joining a meeting, make sure an API key is configured:

  1. Check ~/.agentcall/config.json — if it exists and has api_key, you're ready.

  2. Check AGENTCALL_API_KEY env var — if set, you're ready.

  3. If neither exists, get a key one of two ways:

    Option A — Self-register via email (no dashboard, no human hand-off needed). AgentCall accounts are created with a 6-digit email code. New accounts include free trial credits (base plan, 360 minutes), so the first call works immediately.

    # 1. Request a code. Use the user's email, or — if you can read your own
    #    mailbox — an address you have access to:
    python scripts/python/register.py send --email [email protected]
    
    # 2. Get the 6-digit code from that inbox. If you can read the mailbox yourself,
    #    retrieve it directly; otherwise ask the user to paste it. Codes expire in
    #    10 minutes; a resend is allowed after 60 seconds.
    
    # 3. Verify the code. This mints an API key named "AgentCall Skill on <hostname>"
    #    and saves it to ~/.agentcall/config.json:
    python scripts/python/register.py verify --email [email protected] --code 123456
    

    Node equivalent: node scripts/node/register.js send --email ... and node scripts/node/register.js verify --email ... --code .... Both scripts use only the language standard library, so they run before pip install / npm install.

Read the full file on GitHub · 1,915 lines

Files

What ships with it

45 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. 1mo ago First seen · 1,915 lines · 80 tokens per session scan A fa2253c97715

Subscribe to this mod's changes

join-meeting is a skill published in the GitHub repository pattern-ai-labs/agentcall (169 stars, last pushed 3d ago), licensed MIT. It adds 80 tokens to every session and 24,229 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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