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
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install coralos-run-remote-agents - 安装完成后,直接呼叫该 Skill 的名称或使用
/coralos-run-remote-agents触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
CoralOS 是什么?
End-to-end Coral Cloud workflow — discover registry remote agents, compose and launch a session of agents, then monitor and close it. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 68 次。
如何安装 CoralOS?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install coralos-run-remote-agents」即可一键安装,无需额外配置。
CoralOS 是免费的吗?
是的,CoralOS 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
CoralOS 支持哪些平台?
CoralOS 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 CoralOS?
由 omni-georgio(@omni-georgio)开发并维护,当前版本 v1.0.0。