claude-code-telegram: A powerful Telegram bot that provides remote access to Claude Code, enabling developers to interact

by overwirehq · Agent Tool · ★ 2.8k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install claude-code-telegram

uv tool install git+https://github.com/overwirehq/claude-code-telegram@v1.3.0
pip install git+https://github.com/overwirehq/claude-code-telegram@v1.3.0

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 70/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

Quick Facts

Stars2,809
Forks425
LanguagePython
CategoryAgent Tool
Quality Score70/100
Open Issues36
Last Updated2026-10-01
Created2025-06-06
Platformsclaude-code, python
Est. Tokens~16k

About claude-code-telegram

Claude Code Telegram Bot A Telegram bot that gives you remote access to Claude Code. Chat naturally with Claude about your projects from anywhere -- no terminal commands needed. What is this? This bot connects Telegram to Claude Code, providing a conversational AI interface for your codebase: Chat naturally -- ask Claude to analyze, edit, or explain your code in plain language Maintain context...

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

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