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Coordinate AI agents across terminals with messaging, watching, and task spawning.
This skill appears low risk overall based on the provided facts: open-source on GitHub, MIT-licensed, prompt-only, and no declared secrets or remote endpoints. However, its description mentions agents messaging, watching, and spawning each other across terminals, so code-execution-related behavior warrants some caution until implementation details are reviewed.
The material explicitly states that no keys or environment variables are required. No API tokens, account credentials, or other sensitive authentication data are requested, so credential exposure risk appears low.
No remote endpoints are declared, and the system flags it as prompt-only. There is no factual indication that user data is sent to external services or third-party APIs.
The description includes 'across terminals' and 'spawn each other,' suggesting intended orchestration of terminal sessions or launching other agents/processes. Such local process control is a normal tool capability, but with no README or implementation details provided, its execution boundaries should be verified cautiously.
The material does not declare any need to read or write specific local files, system directories, databases, or cloud resources, and no excessive data-access permissions are requested.
The source is an open-source GitHub repository under the MIT license, which supports auditability, and it has some community adoption (331 stars), both of which lower risk. The main gaps are the missing README and unknown maintenance status, but these alone do not constitute a high-risk red flag.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "hcom" yet — see the docs or source repo.
Using hcom, design a terminal collaboration workflow where Claude Code writes features, Codex reviews code, and Cursor CLI runs tests while syncing progress through messages. Provide recommended roles, communication flow, and sample commands.
A multi-agent development workflow with role assignments, message flow, and sample terminal commands.
I want to use hcom so one AI agent continuously watches build logs and immediately notifies another agent to fix errors. Generate concrete terminal steps and example commands.
A monitoring and alerting workflow showing how to watch output, forward messages, and trigger follow-up agents.
Use hcom to plan an automation flow where a main agent receives a request, spawns documentation, implementation, and testing sub-agents, and then aggregates their results. Include the agent topology, task distribution method, and sample commands.
An orchestration plan explaining how to spawn sub-agents, assign tasks, and collect results centrally.
Connect Claude Code agents autonomously via Redis Streams with monitoring and intervention.
Manage terminal sessions for multiple AI coding agents in one unified interface.
Connect Claude or Cursor to email for sending, replying, and inbox search.
Enable Claude Code agents to communicate and collaborate on tasks.
Coordinate multiple Claude Code agents for collaborative development and automated code review.
Access reusable skills, commands, and scripts for coding agents and teamwork.