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architecture-visualization-governance

Visualize and govern your cloud architectures.

Skill by LeoYeAI

IndexedMIT★ 2,168
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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About

Visualize and govern your cloud architectures. Get architecture assessments, risk heatmaps, and compliance dashboards in one place.

Use cases: data, security

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Secrets
None asked for
Install scripts
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Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/architecture-visualization-governance

What's inside

Skill name
architecture-visualization-governance
Description
Visualize and govern your cloud architectures. Get architecture assessments, risk heatmaps, and compliance dashboards in one place.
License
MIT
Instructions
556 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Agent Skills spec issues

  • body: 556 lines (spec recommends under 500)

Files (30)

  • CODEBUDDY.md
  • PUBLISH_GUIDE.md
  • README.md
  • SKILL.md
  • _meta.json
  • API 概览.md · advisor-2020-07-21/
  • category_i18n.json · advisor-2020-07-21/
  • 开启智能顾问授权.md · advisor-2020-07-21/云架构控制台相关接口/
  • 更新历史.md · advisor-2020-07-21/
  • 简介.md · advisor-2020-07-21/
  • 公共参数.md · advisor-2020-07-21/调用方式/
  • 参数类型.md · advisor-2020-07-21/调用方式/
  • 签名方法 v3.md · advisor-2020-07-21/调用方式/
  • 签名方法.md · advisor-2020-07-21/调用方式/
  • 请求结构.md · advisor-2020-07-21/调用方式/
  • 返回结果.md · advisor-2020-07-21/调用方式/
  • 错误码.md · advisor-2020-07-21/
  • check_env.py
  • CreateAdvisorAuthorization.md · references/api/
  • DescribeArch.md · references/api/
  • DescribeArchList.md · references/api/
  • DescribeLastEvaluation.md · references/api/
  • DescribeStrategies.md · references/api/
  • ListDirectoryV2.md · references/api/
  • ListUnorganizedDirectory.md · references/api/
  • cleanup.py · scripts/
  • create_role.py · scripts/
  • login_url.py · scripts/
  • setup_role.py · scripts/
  • tcloud_api.py · scripts/

SKILL.md (first lines)

# ☁️ 腾讯云智能顾问助手

核心能力:通过 **AK/SK 鉴权**调用腾讯云智能顾问(Tencent Cloud Smart Advisor)API,管理云架构图的目录与详情、获取架构评估结果,以及查询风险评估项。

---

## 一、鉴权方式

使用腾讯云 API **AK/SK 签名认证**(TC3-HMAC-SHA256),通过环境变量配置密钥:

### 1.1 必填环境变量

- `TENCENTCLOUD_SECRET_ID` — 腾讯云 SecretId(必填)
- `TENCENTCLOUD_SECRET_KEY` — 腾讯云 SecretKey(必填)

密钥获取地址:https://console.cloud.tencent.com/cam/capi

**环境变量必须永久写入 shell 配置文件**,确保新会话中仍然生效:

Linux / macOS(写入 `~/.bashrc` 或 `~/.zshrc`):
```bash
echo 'export TENCENTCLOUD_SECRET_ID="your-secret-id"' >> ~/.bashrc
echo 'export TENCENTCLOUD_SECRET_KEY="your-secret-key"' >> ~/.bashrc
source ~/.bashrc
```

Windows PowerShell(写入用户级环境变量):
```powershell
[Environment]::SetEnvironmentVariable("TENCENTCLOUD_SECRET_ID", "your-secret-id", "User")
[Environment]::SetEnvironmentVariable("TENCENTCLOUD_SECRET_KEY", "your-secret-key", "User")
```

### 1.2 角色配置(免密登录需要)

为生成控制台免密登录链接,需要配置 CAM 角色。角色配置分为 **检测** 和 **创建** 两个独立步骤,角色创建属于 IAM 写入操作,**必须在用户明确同意后才能执行**。

#### 步骤一:环境检测(只读)

运行环境自检脚本,检测依赖、版本更新、密钥、角色配置状态:

```bash
python3 {baseDir}/check_env.py
```

自检脚本 **仅做只读检测**,不会创建或修改任何资源。返回码含义:
- `0` = 环境就绪(密钥 + 角色全部正常)
- `1` = Python 版本不满足要求
- `2` = AK/SK 未配置或无效
- `3` = 角色未配置(需要执行步骤二)
- `4` = Skill 版本过旧,请更新 Skill

脚本首次运行时会自动检查本地 `_meta.json` 中的版本号与远端最新版本是否一致,若发现新版本则提示更新并退出(返回码 `4`)。可通过 `--skip-update` 参数跳过版本检查。

#### 步骤二:角色创建(需用户同意)

当 `check_env.py` 返回码为 `3`(角色未配置)时,**必须**向用户展示角色创建方案并等待同意:

**向用户说明以下内容**:
1. 将创建 CAM 角色 `advisor`,仅用于免密登录控制台查看智能顾问信息
2. 将关联策略 `QcloudAdvisorFullAccess`(智能顾问只读访问权限,不影响其他云资源)
3. 信任策略仅允许当前账号扮演此角色
4. 用户可随时在 CAM 控制台删除此角色

**用户同意后**,执行角色创建脚本:

```bash
python3 {baseDir}/scripts/create_role.py
```

脚本输出 JSON 格式结果,`success: true` 表示创建成功并已保存配置。

**用户拒绝时**,提供手动配置方式(方式二、三、四)。

#### 方式二:配置向导(交互式选择已有角色)

运行配置向导,从已有角色中选择,或交互式创建新角色:

```bash
python3 {baseDir}/scripts/setup_role.py
```

#### 方式三:简化配置

只需提供角色名称,系统自动获取账号 UIN。将以下内容写入 shell 配置文件(如 `~/.bashrc` 或 `~/.zshrc`):

```bash
echo 'export TENCENTCLOUD_ROLE_NAME="advisor"' >> ~/.bashrc
source ~/.bashrc
```

系统会自动调用 API 获取您的账号 UIN,并拼接完整的 roleArn。

#### 方式四:完整配置(高级用户)

手动设置完整的角色 ARN,写入 shell 配置文件(如 `~/.bashrc` 或 `~/.zshrc`):

```bash
echo 'export TENCENTCLOUD_ROLE_ARN="qcs::cam::uin/100001234567:roleName/advisor"' >> ~/.bashrc
source ~/.bashrc
```

### 1.3 可选环境变量

- `TENCENTCLOUD_TOKEN` — 临时密钥 Token(使用临时密钥时设置)
- `TENCENTCLOUD_ROLE_SESSION` — 角色会话名称(默认 `advisor-session`)
- `TENCENTCLOUD_STS_DURATION` — 临时凭证有效期秒数(默认 `3600`,即 1 小时;最大 `43200`,即 12 小时)

> **注意**:所有环境变量均需永久写入 shell 配置文件(如 `~/.bashrc`、`~/.zshrc`),`export` 仅对当前会话生效,新开会话会丢失。

### 1.4 配置优先级

系统按以下优先级加载角色配置:

1. 环境变量 `TENCENTCLOUD_ROLE_ARN`(完整 ARN)
2. 配置文件 `~/.tencent-cloudq/config.json`
3. 环境变量 `TENCENTCLOUD_ROLE_NAME` + 自动获取账号 UIN

---

From LeoYeAI/openclaw-master-skills, MIT.

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Forks
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Open issues
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Last commit (this folder)
May 5, 2026 (5 months ago)
Last release
Jul 20, 2026 (3 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
Website
myclaw.ai
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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architecture-visualization-governance skill. Agent Mart. https://agentmart.dev/skills/leoyeai-architecture-visualization-governance (last updated 2026-10-24)