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by vicentereig · Codex Skill · ★ 192
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🔒 Is whatsapp-cli safe to install? View the security audit →
WhatsApp CLI - Complete Reference For Humans & LLMs: This document contains comprehensive information about the WhatsApp CLI tool, including installation, usage, API reference, examples, architecture, and troubleshooting. It is designed to be parsed by both humans and large language models. Version: 1.3.2 Repository: https://github.com/vicentereig/whatsapp-cli License: MIT Language: Go 1.24+ Table of Contents Overview Installation Quick Start Complete Command Reference JSON Response Format Usage Examples Integration with LLMs/AI Tools Data Model Storage & Persistence Authentication & Security Architecture Error Handling Troubleshooting Development FAQ Credits Overview What is WhatsApp CLI? A standalone command-line interface for WhatsApp built on the WhatsApp Web multidevice protocol. Every command returns structured JSON output, making it ideal for: Automation: Shell scripts, cron jobs, CI/CD pipelines AI Integration: Codex, Claude Code, GPT-based tools Data Analysis: Extract and analyze WhatsApp conversations Custom Applications: Build tools on top of WhatsA
| Stars | 192 |
| Forks | 28 |
| Language | Go |
| Category | Codex Skill |
| Quality Score | 78.1985808368442/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-08 |
| Created | 2025-10-26 |
| Platforms | claude-code, cli, codex, go |
| Est. Tokens | ~17k |
These tools work well together with whatsapp-cli for enhanced workflows:
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whatsapp-cli is Danger. Danger. High Voltage. Give your codex/claude access to WhatsApp. It is categorized as a Codex Skill with 192 GitHub stars.
whatsapp-cli is primarily written in Go. It covers topics such as claude, claude-code, codex.
You can find installation instructions and usage details in the whatsapp-cli GitHub repository at github.com/vicentereig/whatsapp-cli. The project has 192 stars and 28 forks, indicating an active community.
The top alternatives to whatsapp-cli on Agent Skills Hub include whatsapp-agentkit, Overture, whatsapp-claude-plugin. 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.
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