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.
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.
git clone --depth 1 https://github.com/TencentCloudBase/CloudBase-AI-ToolkitWrote 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.
[](https://agentmods.dev/commands/tencentcloudbase/cloudbase-ai-toolkit/cloudbase-status)<a href="https://agentmods.dev/commands/tencentcloudbase/cloudbase-ai-toolkit/cloudbase-status"><img src="https://agentmods.dev/badge/commands/tencentcloudbase/cloudbase-ai-toolkit/cloudbase-status/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/tencentcloudbase/cloudbase-ai-toolkit/cloudbase-status"><img src="https://agentmods.dev/badge/commands/tencentcloudbase/cloudbase-ai-toolkit/cloudbase-status.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00023 | $0.01818 |
| Opus 5.5 | $0.00009 | $0.00727 |
| Sonnet 5.5 | $0.00005 | $0.00364 |
| Haiku 4.5 | $0.00002 | $0.00182 |
Grade A, and why
cloudbase-status 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 1mo ago.
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.
How it starts
The opening of the file, as written. The whole thing — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CloudBase 项目健康检查
对 CloudBase 环境进行全面健康检查:环境状态、云函数列表、静态托管状态、日志服务状态。全量只读,无破坏性。
Preflight
运行以下检查,失败时停止并给出可执行指引。
- MCP 连接检查 — 确认
cloudbase-mcpserver 已连接。- 尝试调用
queryEnv({action:"info"})。若调用失败,提示用户:CloudBase MCP 未连接或未鉴权。请确认
cloudbase-mcpserver 已启动并完成授权流程。
- 尝试调用
- 环境选择 — 确认当前操作的 EnvId(
CLOUDBASE_ENV_ID或会话中已选定)。- 若未设置:调用
queryEnv({action:"list"})让用户选择目标环境。
- 若未设置:调用
- 项目检测 — 检查当前目录是否为 CloudBase 项目:
cloudbaserc.json存在 → 读取envId和functionRoot用于状态关联cloudfunctions/存在 → 标记为云函数项目dist/或public/存在 → 标记为静态托管项目- 非项目目录 → 仅做环境级检查,跳过项目级关联
Plan
使用 MCP 工具执行只读取诊断:
- 获取环境信息(RuntimeMode + Backends + 套餐状态)
- 查询云函数列表及状态
- 查询静态托管服务状态
- 查询日志服务状态
- 汇总异常项,给出修复建议
无破坏性操作 — 全部为只读查询。
Commands
1. 环境信息检查
queryEnv({ action: "info", envId: "<current-env-id>" })
提取并呈现:
- EnvId / Alias — 环境标识
- RuntimeMode — 运行模式(决定后端形态)
- Backends — 已开通的后端服务列表(NoSQL / MySQL / PostgreSQL / CloudRun / Functions / Storage / Hosting)
- PackageType — 套餐类型
- Status — 环境状态(正常 / 异常)
2. 云函数列表
queryFunctions({ action: "listFunctions", envId: "<current-env-id>" })
呈现云函数清单:
| FunctionName | Runtime | Status | LastModified |
|---|---|---|---|
| ... | ... | ... | ... |
异常标记:
- 函数状态为 ERROR → 标记异常
- 函数长时间未更新(>30 天)→ 提示可能过期
3. 静态托管状态
queryHosting({ action: "status", envId: "<current-env-id>" })
若环境已开通静态托管:
- 呈现托管状态(已开启 / 未开启)
- 呈现静态域名
queryHosting({ action: "websiteConfig", envId: "<current-env-id>" })
提取网站文档配置和站点域名信息。
若环境未开通静态托管:标记为"未开通",不视为异常(取决于项目类型)。
4. 静态托管文件列表(可选)
queryHosting({ action: "listFiles", envId: "<current-env-id>" })
呈现已上传的文件清单,辅助判断部署状态。若文件列表为空但项目类型为 Web,提示用户部署静态资源。
5. 云托管服务状态(如适用)
若环境 RuntimeMode 支持云托管(Cbr 模式):
queryCloudRun({ action: "status", envId: "<current-env-id>" })
呈现云托管服务状态:
| ServiceName | Status | Version | UpdatedAt |
|---|---|---|---|
| ... | ... | ... | ... |
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.
- 1mo ago Changed d92b40f4193a
- 1mo ago First seen · 201 lines · 23 tokens per session scan A b88741e7d6bc
cloudbase-status is a command published in the GitHub repository TencentCloudBase/CloudBase-AI-Toolkit (1,138 stars, last pushed today), licensed MIT. It adds 23 tokens to every session and 1,818 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.
Other commands, from other repositories
status
Check overall system health and status.
investigate
Start a deep root-cause investigation on the AWS DevOps Agent and stream progress.
analyze
Quick analysis of must-gather data - runs all analysis scripts and provides comprehensive cluster diagnostics.
cloudflare-queues:troubleshoot
Quick troubleshooting for common Cloudflare Queues issues.
cloudflare-workers:debug
Interactive debugging workflow for Cloudflare Workers. Diagnoses deployment errors, runtime issues, and performance problems with step-by-step fixes.
cloud-run-debug
Diagnose a failing Cloud Run service — Antigravity (agy/Gemini) digests the error logs cheaply, Claude infers the root cause and proposes a fix. Read-only by default; --apply writes the fix to a branch.