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CoralOS

作者 omni-georgio · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install coralos-run-remote-agents
功能描述
End-to-end Coral Cloud workflow — discover registry remote agents, compose and launch a session of agents, then monitor and close it.
使用说明 (SKILL.md)

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.sh
  • bash 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:

  • source
  • agentName
  • version
  • 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.json
  • bash scripts/create_session_from_simple.sh examples/payloads/simple/echo-session.json

Payload notes:

  • Payload shape is strict — start from examples/payloads/echo-session.json or expand from examples/payloads/simple/ using scripts/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 sessionId in 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
安全使用建议
This skill's instructions describe valid Coral Cloud operations, but it omits two important things: (1) the helper scripts and example payloads it tells you to run are not included in the package, and (2) it does not state how to authenticate to api.coralcloud.ai. Before installing or running it, verify where the scripts/payloads come from and whether you need to provide an API token or other secret. Do not store secrets in insecure places; if the skill author expects the agent to read env vars or local config, ask them to document which variables are required and why. If you plan to exercise the live endpoints, run tests in an isolated environment (or sandbox) and confirm the Coral Cloud domain is legitimate (docs.coralos.ai). If you have doubts about missing files or hidden auth behavior, treat the skill as untrusted until the author provides the missing artifacts and authentication guidance.
功能分析
Type: OpenClaw Skill Name: coralos-run-remote-agents Version: 1.0.0 The skill bundle defines a workflow for interacting with an external service (api.coralcloud.ai) by executing several local shell and Python scripts (e.g., scripts/create_session.sh, scripts/build_coral_session_payload.py). While the instructions in SKILL.md appear to describe a legitimate agent management process, the reliance on external scripts and network communication constitutes a high-risk capability. Because the actual logic within the referenced scripts is not provided for review, the potential for malicious behavior such as unauthorized data exfiltration or command injection cannot be excluded.
能力评估
Purpose & Capability
The skill's purpose (discover, create, manage Coral Cloud sessions) aligns with the listed API endpoints and commands, but it claims no required credentials or files while instructing use of remote API endpoints and local helper scripts/examples that are not included in the package. A Coral Cloud integration typically needs authentication (API key or token) and the provided shell/Python helper scripts; their absence is a mismatch.
Instruction Scope
Runtime instructions direct the agent to call live endpoints at api.coralcloud.ai and run local scripts (bash scripts/* and scripts/build_coral_session_payload.py) and to use example payload files (examples/payloads/...). The skill does not include these files and gives no explicit auth or environment guidance, leaving the agent discretion to run network calls or local commands against whatever environment the user provides.
Install Mechanism
This is an instruction-only skill with no install spec and no bundled code—lowest install risk. Nothing is written to disk by the skill package itself.
Credentials
No environment variables, credentials, or config paths are declared, yet the instructions require calling authenticated-sounding APIs and likely need a Coral Cloud API token or local configuration. The absence of declared credentials is disproportionate and unclear about where secrets come from or how they are used.
Persistence & Privilege
The skill does not request persistent/always-on presence (always:false) and uses the default model invocation behavior. It does not attempt to modify other skills or system-wide agent settings.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install coralos-run-remote-agents
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /coralos-run-remote-agents 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release of the Coral Cloud end-to-end workflow skill. - Discover available registry agents and inspect details. - Compose and submit a session payload to launch remote agents. - Monitor session progress and manage agent lifecycle. - Includes example scripts and payload templates for fast onboarding. - API endpoints and command-line helpers documented step-by-step.
元数据
Slug coralos-run-remote-agents
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

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。

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