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Cloudrun Development

Checked
tencentcloudbase·vlatest·cloud·MIT

Streamlines application deployment to Cloud Run by providing tools and guidance for efficient development workflows and resource management.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add tencentcloudbase/cloudbase-ai-toolkit --skill cloudrun-development -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

tencentcloudbase

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned tencentcloudbase/cloudbase-mcp at 6032e5d15f.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
6032e5d15f
Manifest
config/source/skills/cloudrun-development/SKILL.md
Scanned
1 file, 429 lines
Copies in repo
3 — all of them scanned
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to develop and deploy applications directly on Tencent Cloud's CloudRun platform. It streamlines the workflow from code creation to live service, handling containerization and orchestration automatically.

When to use it

  • You need to rapidly prototype serverless functions or microservices on Tencent Cloud infrastructure.
  • Your development team requires a seamless CI/CD pipeline for deploying containerized applications without managing underlying servers.
  • You want to leverage managed Kubernetes capabilities to handle auto-scaling and high availability for your workloads.
  • You are building event-driven architectures that require flexible, stateless compute resources.

Key capabilities

  • Automated container image building and deployment to Tencent Cloud Run.
  • Seamless integration with existing development workflows for continuous delivery.
  • Managed scaling and resource management for production-grade applications.
  • Support for various programming languages and runtime environments via containers.

Example prompts

  • "Create a Python-based API endpoint on Tencent Cloud Run that processes user data."
  • "Deploy my Dockerized Node.js application to CloudRun with automatic scaling enabled."
  • "Set up a serverless function on Tencent Cloud Run to handle image processing tasks triggered by S3 events."

Tips & gotchas

Ensure your code is properly containerized before deployment, as the platform relies on valid Docker images. Verify network policies and IAM permissions to ensure secure access to cloud resources during development and production phases.