What is cloudbase-ai-toolkit?

A development toolkit that connects an AI coding agent to Tencent CloudBase, a cloud platform for building and running applications. It helps create and deploy full-stack apps, mini-programs, and cloud functions.

Use it to build and deploy web applications, Tencent mini-programs, and server-side cloud functions on CloudBase.

It removes much of the manual work involved in connecting application code to CloudBase and deploying it there.

cloudbase-ai-toolkit — Plugin for Gemini CLI by TencentCloudBase

About the project

CloudBase AI Toolkit is an integration layer that lets AI coding tools use Tencent CloudBase as an application backend, including databases, authentication, functions, storage, and deployments. Developers use it to have coding agents build and operate CloudBase-backed applications through skills, plugins, commands, and chat-accessible tools. The catalogue entries are the toolkit’s own skills, agents, hooks, plugins, rules, instructions, and MCP tools.

TencentCloudBase/CloudBase-AI-Toolkit · 1,094 stars · on GitHub · docs.cloudbase.net

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo

git clone --depth 1 https://github.com/TencentCloudBase/CloudBase-AI-Toolkit

Made for: Gemini CLI.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/plugins/tencentcloudbase/cloudbase-ai-toolkit/gemini-extension.svg)](https://agentmods.dev/plugins/tencentcloudbase/cloudbase-ai-toolkit/gemini-extension)

Your own site

<a href="https://agentmods.dev/plugins/tencentcloudbase/cloudbase-ai-toolkit/gemini-extension"><img src="https://agentmods.dev/badge/plugins/tencentcloudbase/cloudbase-ai-toolkit/gemini-extension.svg" alt="Measured on agentmods" height="20"></a>

Per session not measured What this adds to a session before it is invoked.

When invoked not measured Not applicable: nothing here is loaded into a session.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Security

Grade A, and why

cloudbase-ai-toolkit scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

gemini-extension.json · 24 lines

What it actually says

{
  "name": "cloudbase-ai-toolkit",
  "version": "1.8.44",
  "description": "Tencent CloudBase MCP Server - AI-powered development toolkit for building and deploying full-stack applications, mini-programs, and cloud functions to Tencent CloudBase platform",
  "author": "TencentCloudBase",
  "license": "MIT",
  "homepage": "https://github.com/TencentCloudBase/CloudBase-AI-ToolKit",
  "contextFileName": "config/.gemini/GEMINI.md",
  "mcpServers": {
    "cloudbase": {
      "command": "npx",
      "args": [
        "npm-global-exec@latest",
        "@cloudbase/cloudbase-mcp@latest"
      ],
      "env": {
        "INTEGRATION_IDE": "Gemini"
      },
      "cwd": "${extensionPath}"
    }
  }
}

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

yesterday First seen · 24 lines scan A f5a7fe1e4a06

Subscribe to this mod's changes

cloudbase-ai-toolkit is a plugin published in the GitHub repository TencentCloudBase/CloudBase-AI-Toolkit (1,094 stars, last pushed today), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-06.

Backend and APIs Cloud DevOps and cloud ai cloudbase mcp miniprogram tencent web

systems-architecture

Systems architecture and distributed systems skills including Designing Data-Intensive Applications (Martin Kleppmann), System Design Interview (Alex Xu), Clean Architecture (Robert C. Martin), Release It! (Michael Nygard), High Performance Browser Networking (Ilya Grigorik), and Team Topologies (Skelton & Pais).

wondelai/skills · not measured

aws-agent-skills

Collection of AWS engineering skills for IAM, Lambda, DynamoDB, S3, and 14 other core AWS services.

itsmostafa/aws-agent-skills · not measured

aspire

Aspire skills plugin for AI coding agents. Six skills: aspire (router), aspire-init (skeleton drop), aspireify (AppHost wiring), aspire-orchestration (lifecycle, guardrails), aspire-deployment (publish, deploy, destroy, pipeline steps), aspire-monitoring (logs, traces, dashboard, diagnostics bridge). Aligned with…

microsoft/aspire-skills · not measured

cloudbase-ai-toolkit

Getting it into your agent

Wrote this? Show the measurements

Grade A, and why

Nothing flagged

What it actually says

What this file has done since we first saw it

Other plugins, from other repositories

systems-architecture

aws-agent-skills

aspire

azure-functions-skills

valtown

hono