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 robdmac · MCP Server · ★ 55
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is talkito safe to install? View the security audit →
TalkiTo TalkiTo lets developers talk, slack and whatsapp with Claude Code and OpenAI Codex. It can be used as a command-line tool, a web extension, and as a Python library. 🚀 Quick Install Option 1: One-liner Install Script (Recommended) Option 2: PyPI Then just run: Install for End Users From Source (Stable) Install for De
| Stars | 55 |
| Forks | 6 |
| Language | Python |
| Category | MCP Server |
| License | AGPL-3.0 |
| Quality Score | 67.0857681698388/100 |
| Open Issues | 3 |
| Last Updated | 2026-08-18 |
| Created | 2025-06-20 |
| Platforms | claude-code, cli, codex, mcp, python |
| Est. Tokens | ~16k |
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talkito is TalkiTo lets developers interact with AI systems through speech across multiple channels (terminal, API, phone). It can be used as both a command-line tool and a Python library.. It is categorized as a MCP Server with 55 GitHub stars.
talkito is primarily written in Python. It covers topics such as bolt-new, claude, claude-ai.
You can find installation instructions and usage details in the talkito GitHub repository at github.com/robdmac/talkito. The project has 55 stars and 6 forks, indicating an active community.
talkito is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to talkito on Agent Skills Hub include recall, ask-user-questions-mcp, total-agent-memory. 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: