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alicloud-compute-fc-agentrun

Manage Function Compute AgentRun resources via OpenAPI (runtime, sandbox, model, memory, credentials). Use for creating runtimes/endpoints, querying status, and troubleshooting AgentRun workflows.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/cinience/alicloud-compute-fc-agentrun
Or

What This Skill Does

The alicloud-compute-fc-agentrun skill provides a robust interface for managing Alibaba Cloud Function Compute (FC) AgentRun resources. It acts as an abstraction layer over the raw OpenAPI (ROA) endpoints, allowing developers to programmatically define, deploy, and monitor serverless runtime environments. This skill simplifies complex tasks such as creating runtime versions, configuring sandbox environments, managing model service attachments, and defining memory allocations. By leveraging predefined scripts for standard operational workflows—including provisioning, endpoint management, and resource cleanup—the skill ensures consistency in cloud architecture deployments.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/cinience/alicloud-compute-fc-agentrun

Ensure your development environment has Python 3 installed, as the skill relies on internal scripts for validation and automated workflows. Verify installation success by running the provided validation routine, which compiles the scripts and generates an audit log in the output directory.

Use Cases

  • Automated Infrastructure Provisioning: Automatically spin up AgentRun environments for staging or production CI/CD pipelines.
  • Sandbox Management: Quickly isolate and deploy test environments for model inference or logic processing using specific memory configurations.
  • Resource Lifecycle Automation: Efficiently manage the cleanup of temporary runtime endpoints to minimize cloud billing costs.
  • Debugging and Troubleshooting: Query existing resource statuses and configuration metadata to diagnose deployment failures in production.

Example Prompts

  1. "Initialize a new AgentRun runtime named 'production-model-v1' in the 'cn-hangzhou' region with 2GB of memory and output the status report."
  2. "List all current runtime endpoints in the 'cn-shanghai' region and export their configuration metadata to the output directory."
  3. "Clean up the runtime resources and associated endpoints for the deprecated 'test-service-001' to free up capacity."

Tips & Limitations

  • Regional Awareness: Always ensure the AGENTRUN_ENDPOINT matches your target region. Incorrect endpoints will result in authentication failure.
  • Security: Utilize RAM users with the principle of least privilege. Never hardcode credentials in source scripts; use environment variables as directed.
  • Output Management: Always monitor the output/compute-fc-agentrun/ directory. The skill relies on consistent file paths for evidence storage and auditing purposes.
  • Performance: For large-scale deployments, batch operations using the provided API groups rather than individual requests to avoid rate limiting.

Metadata

Author@cinience
Stars3562
Views0
Updated2026-03-29
View Author Profile
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-cinience-alicloud-compute-fc-agentrun": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#alicloud#serverless#function-compute#cloud-automation#agentrun
Safety Score: 3/5

Flags: network-access, file-write, file-read, external-api, code-execution