Flagged: opens a tunnel service. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by ChesterRa · Codex Skill · ★ 1.3k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is cccc safe to install? View the security audit →
CCCC Coordinate your coding agents like a group chat Read receipts, delivery tracking, and remote ops from your phone — for Claude Code, Codex, Gemini, and 9 more runtimes in one durable group. Run multiple coding agents as a persistent, coordinated team — not a pile of disconnected terminal sessions. One . Zero infrastructure, production-grade power. English 日本語 Why CCCC Using multi
| Stars | 1,252 |
| Forks | 112 |
| Language | Rust |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 68.2696262096905/100 |
| Open Issues | 6 |
| Last Updated | 2026-09-23 |
| Created | 2025-08-15 |
| Platforms | claude-code, cli, codex, gemini, rust |
| Est. Tokens | ~27k |
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cccc is Coordinate your coding agents like a group chat — read receipts, delivery tracking, and remote ops from your phone. One pip install, zero infrastructure. A production‑minded orchestrator for 24/7 work. It is categorized as a Codex Skill with 1.3k GitHub stars.
cccc is primarily written in Rust. It covers topics such as ai-agents, chatgpt, claude-code.
You can find installation instructions and usage details in the cccc GitHub repository at github.com/ChesterRa/cccc. The project has 1.3k stars and 112 forks, indicating an active community.
cccc is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to cccc on Agent Skills Hub include ralph-orchestrator, ai-devkit, tokscale. 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: