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TCCLI - 腾讯云命令行工具

作者 GuanM · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
102
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1
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当前安装
1
版本数
在 OpenClaw 中安装
/install tccli
功能描述
通过命令行方式管理和操作腾讯云200+云产品资源,支持实例查询、启动、停止、域名解析等功能。
安全使用建议
This appears to be a straightforward guide for the official Tencent Cloud CLI, but before proceeding: (1) verify the tccli package source (PyPI package name and the linked GitHub repo) to ensure it is the official project; (2) prefer creating and using least-privilege credentials or temporary keys rather than root/full-admin keys; (3) confirm where tccli stores credentials on disk (so you can secure or remove them when done); (4) consider installing the CLI in an isolated environment (container or VM) if you are unsure; and (5) never paste credentials into public chat or logs. The main concern is the metadata omission of required credentials — likely an oversight but worth confirming with the publisher before installing.
功能分析
Type: OpenClaw Skill Name: tccli Version: 1.0.0 The skill bundle provides documentation and command references for the official Tencent Cloud Command Line Interface (tccli). It contains no executable code, only markdown instructions (SKILL.md) that guide an AI agent on how to install and use the legitimate 'tccli' tool for managing cloud resources. No signs of data exfiltration, malicious execution, or prompt injection were found.
能力评估
Purpose & Capability
Name, description, and instructions align: SKILL.md is a usage/cheat-sheet for the Tencent Cloud CLI (tccli) and shows commands for the listed services. Nothing in the instructions attempts unrelated actions.
Instruction Scope
The instructions tell the user/agent to run `pip3 install tccli` and to run `tccli configure set secretId/secretKey` (i.e., to provision cloud credentials) and then run management commands. The instructions do not request reading unrelated system files, but they do cause storage of secrets via the CLI's config (path not documented), which is relevant to user security.
Install Mechanism
There is no formal install spec in the manifest; the SKILL.md advises `pip3 install tccli` (PyPI). Installing from PyPI is common and the README links the official GitHub, but a network install still introduces risk (supply-chain / tampered package) that the user should vet.
Credentials
The SKILL.md requires cloud credentials (secretId and secretKey) to operate, but the skill metadata declares no required environment variables or primary credential. This mismatch (instructions asking for sensitive secrets while metadata doesn't declare them) is an omission that reduces transparency. Requesting these two credentials is appropriate for a cloud CLI, but users must recognize they are sensitive and should apply least privilege.
Persistence & Privilege
The skill is instruction-only and does not request 'always:true' or ask to change other skills or global agent settings. It does imply the CLI will persist credentials in its own config, which is expected behavior for a CLI tool.
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 tccli
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /tccli 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 TCCLI skill. - Provides a CLI reference for managing Tencent Cloud resources. - Includes installation, configuration, and command examples for services like CVM, Lighthouse, VPC, SSL, DNSPod, and more. - Lists common parameters, output formatting options, and usage help commands. - Offers quick command lookup tables for frequent operations. - References official documentation and GitHub for further help.
元数据
Slug tccli
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

TCCLI - 腾讯云命令行工具 是什么?

通过命令行方式管理和操作腾讯云200+云产品资源,支持实例查询、启动、停止、域名解析等功能。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 102 次。

如何安装 TCCLI - 腾讯云命令行工具?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install tccli」即可一键安装,无需额外配置。

TCCLI - 腾讯云命令行工具 是免费的吗?

是的,TCCLI - 腾讯云命令行工具 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

TCCLI - 腾讯云命令行工具 支持哪些平台?

TCCLI - 腾讯云命令行工具 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 TCCLI - 腾讯云命令行工具?

由 GuanM(@sxhoio)开发并维护,当前版本 v1.0.0。

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