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 pattern-ai-labs · Claude Skill · ★ 141
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agentcall safe to install? View the security audit →
join-meeting Let any AI agent join and participate in video meetings via voice. An AgentCall skill that enables AI coding agents (Claude Code, Cursor, Codex, Gemini CLI, OpenClaw, Windsurf, Junie, and 30+ more) to join Google Meet, Zoom, and Microsoft Teams as a bot with voice conversation, visual avatar, screenshare, and real-time transcription. What It Does Your AI agent joins a meeting as a participant and can: Talk — respond via text-to-speech (54 voices, 9 languages, <1s latency) Listen — receive real-time transcripts of what participants say See — take screenshots of shared screens, slides, presentations Show — display an animated avatar as the bot's camera feed Present — screenshare URLs, dashboards, slides dynamically during the call Chat — send and receive meeting chat messages Collaborate — use GetSun voice intelligence for natural multi-party conversations The agent keeps its full session context — it can search code, edit files, run commands, and commit changes while talking in the meeting. The meeting is just another I/O channel. Quick Start Prerequisites This is a skill, not a standalone app — it runs on top of a coding agent.
| Stars | 141 |
| Forks | 17 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 72.2968127156203/100 |
| Open Issues | 2 |
| Last Updated | 2026-08-10 |
| Created | 2026-04-12 |
| Platforms | browser, claude-code, python |
| Est. Tokens | ~14k |
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agentcall is AgentCall lets AI Agents join meetings with voice, video & screen-share to build together. Supports Google Meet, Teams, Zoom (Beta). It is categorized as a Claude Skill with 141 GitHub stars.
agentcall is primarily written in Python. It covers topics such as agent-skills, agentcall, ai-agent.
You can find installation instructions and usage details in the agentcall GitHub repository at github.com/pattern-ai-labs/agentcall. The project has 141 stars and 17 forks, indicating an active community.
agentcall is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to agentcall on Agent Skills Hub include OpenVoiceUI, skills, skill-conductor. 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: