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 aannoo · Codex Skill · ★ 490
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is hcom safe to install? View the security audit →
hcom Hook your coding agents together is a CLI that agents can use to message, watch, and spawn each other across terminals. It integrates with Claude Code, Gemini, Codex, OpenCode, Kilo Code, Pi, Antigravity, Cursor, Kimi and Copilot without changing how you use them. Use it to coordinate pipelines, run different AI CLIs as each other's subagents, or just instead of copy-paste. Single Rust binary, no background services. Start an agent with in front, then prompt normally. https://github.com/user-attachments/assets/1ce23ed9-f529-4be0-8124-816aa4c2fd43 Install Other install options Quickstart Terminal 1: bash hcom claude # codex / gemini / opencode / kilo / pi / agy / cursor-
| Stars | 490 |
| Forks | 76 |
| Language | Rust |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 69.0638634598824/100 |
| Open Issues | 35 |
| Last Updated | 2026-09-13 |
| Created | 2025-07-21 |
| Platforms | claude-code, cli, codex, rust |
| Est. Tokens | ~25k |
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hcom is Let AI agents message, watch, and spawn each other across terminals. Claude Code, Codex, Antigravity CLI, Cursor CLI, OpenCode, Kilo, Pi, Kimi. It is categorized as a Codex Skill with 490 GitHub stars.
hcom is primarily written in Rust. It covers topics such as agent, agent-skills, ai.
You can find installation instructions and usage details in the hcom GitHub repository at github.com/aannoo/hcom. The project has 490 stars and 76 forks, indicating an active community.
hcom is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to hcom on Agent Skills Hub include ai-devkit, mco, OpenContext. 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: