CoralOS
/install coralos-run-remote-agents
Coral
Use this skill to run a complete Coral Cloud session: discover available agents, build and submit a session payload, then monitor and close it.
Phase 1 — Discover (Registry)
Identify the agent you want to run before composing a session payload.
Fast commands:
bash scripts/list_registry_agents.shbash scripts/inspect_registry_agent.sh \x3Csource> \x3Cagent_name> \x3Cversion>
Live endpoints:
- List:
GET https://api.coralcloud.ai/api/v1/registry - Inspect:
GET https://api.coralcloud.ai/api/v1/registry/{source}/{agentName}/{version}
Before moving on, record:
sourceagentNameversion- notable option requirements and constraints
If you see {"message":"Not found"}, compare the URL to the current Coral Cloud API guide.
Phase 2 — Create Session
Build and submit a POST /api/v1/local/session payload using the agent identified in Phase 1.
Fast commands:
bash scripts/create_session.sh examples/payloads/echo-session.jsonbash scripts/create_session_from_simple.sh examples/payloads/simple/echo-session.json
Payload notes:
- Payload shape is strict — start from
examples/payloads/echo-session.jsonor expand fromexamples/payloads/simple/usingscripts/build_coral_session_payload.py. - Required fields:
agentGraphRequest,namespaceProvider,execution. - Optional: session
annotations,extendedEndReport. - Custom tool/webhook flows are experimental until callback host policy is confirmed in your environment.
Success criteria:
- Non-error API response
- Real
sessionIdin the response
Phase 3 — Manage Session
Monitor progress and clean up after the session is running.
Fast command:
bash scripts/get_session_state.sh \x3Cnamespace> \x3Csession_id>
Live endpoint:
- State:
GET /api/v1/local/session/{namespace}/{sessionId} - Verify list and delete routes against your environment before automating cleanup loops.
Lifecycle checklist:
- Session exists
- Agents connect and begin execution
- Output appears in Coral Cloud thread when requested
- Session is closed when no longer needed
Success criteria:
- Real state payload for the target session
- Evidence of agent progress and/or thread activity
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install coralos-run-remote-agents - After installation, invoke the skill by name or use
/coralos-run-remote-agents - Provide required inputs per the skill's parameter spec and get structured output
What is CoralOS?
End-to-end Coral Cloud workflow — discover registry remote agents, compose and launch a session of agents, then monitor and close it. It is an AI Agent Skill for Claude Code / OpenClaw, with 68 downloads so far.
How do I install CoralOS?
Run "/install coralos-run-remote-agents" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is CoralOS free?
Yes, CoralOS is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does CoralOS support?
CoralOS is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created CoralOS?
It is built and maintained by omni-georgio (@omni-georgio); the current version is v1.0.0.