ccgram — security grade SAFE, quality 66/100

Security audit verdict: SAFE · quality 66/100

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 alexei-led · Claude Skill · ★ 265

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

🔒 Is ccgram safe to install? View the security audit →

About ccgram

CCGram — Control AI Coding Agents from Telegram Control AI coding agents from your phone. CCGram bridges Telegram to tmux — monitor output, respond to prompts, and manage multiple sessions without touching your computer. Supports Claude Code, Codex CLI, Gemini CLI, Pi, and plain shell sessions. Why CCGram? AI coding agents run in your terminal. When you step away — commuting, on the couch, or just away from your desk — the session keeps working, but you lose visibility and control. CCGram fixes this. It operates on tmux, not any agent SDK. Your agent process stays exactly where

agtermai-codingclaude-codeclicodexcodex-clideveloper-toolsgeminigemini-cliherdr

Quick Facts

Stars265
Forks79
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score65.9426182101109/100
Open Issues5
Last Updated2026-09-14
Created2026-02-10
Platformsclaude-code, cli, codex, gemini, python
Est. Tokens~18k

Compatible Skills

These tools work well together with ccgram for enhanced workflows:

  • SirChatalot — semantic(0.23)+complementary+rare_topics+same_lang+similar_pop+shared_platform (58%)
  • ClaudeBot — semantic(0.39)+complementary+rare_topics+similar_pop+shared_platform (58%)

ccgram alternative? Top 6 similar tools

Looking for a ccgram alternative? If you're comparing ccgram with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • quint-code by m0n0x41d · ⭐ 1.3k

    Engineering decisions engine that know when they're stale. Frame, compare, decide — with evidence decay and p

  • ductor by PleasePrompto · ⭐ 448

    Control Claude Code, Codex CLI and Gemini CLI from Telegram. Live streaming, persistent memory, cron jobs, web

  • squarebox by SquareWaveSystems · ⭐ 71

    A curated set of modern CLI/TUI tools and AI coding assistants in a container. Batteries included.

  • agent-deck by asheshgoplani · ⭐ 935

    Terminal session manager for AI coding agents. One TUI for Claude, Gemini, OpenCode, Codex, and more.

  • open-docs by bgauryy · ⭐ 513

    This repository contains documentation created to better understand the open project

  • bit-office by longyangxi · ⭐ 145

    Pixel office for AI agents and multi-agent collaboration

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Frequently Asked Questions

What is ccgram?

ccgram is Telegram ↔ tmux/herdr/agterm bridge for Claude Code, Codex CLI, and Pi Agent. Monitor output, respond to prompts, manage parallel sessions. Control AI coding agents from your phone.. It is categorized as a Claude Skill with 265 GitHub stars.

What programming language is ccgram written in?

ccgram is primarily written in Python. It covers topics such as agterm, ai-coding, claude-code.

How do I install or use ccgram?

You can find installation instructions and usage details in the ccgram GitHub repository at github.com/alexei-led/ccgram. The project has 265 stars and 79 forks, indicating an active community.

What license does ccgram use?

ccgram is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to ccgram?

The top alternatives to ccgram on Agent Skills Hub include quint-code, ductor, squarebox. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

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