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Agent Skill · 研究检索

alibabacloud-governance-evaluation-report(阿里巴巴云治理评估报告)

alibabacloud-governance-evaluation-report 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

alibabacloud-governance-evaluation-report 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 24,147。

总安装 4,088周安装 167GitHub Stars 公开资料未说明下载 1,309核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
0.0.1

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:alibabacloud-governance-evaluation-report(阿里巴巴云治理评估报告)
来源仓库:https://github.com/sdk-team/alibabacloud-governance-evaluation-report
安装命令:
openclaw skills install alibabacloud-governance-evaluation-report
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install alibabacloud-governance-evaluation-report

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

查询阿里云治理中心评估报告,生成治理成熟度检查结果和结构化风险报告。适用于账户治理审计、合规性检查和风险管理场景。支持查询评估结果、识别风险项并提供改进建议。安装命令:openclaw skills install alibabacloud-governance-evaluation-report;需确认账号权限。

涉及敏感数据时应脱敏处理,避免泄露账户或资源细节。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install alibabacloud-governance-evaluation-report;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

alibabacloud-governance-evaluation-report 怎么安装?

在终端执行 openclaw skills install alibabacloud-governance-evaluation-report。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

alibabacloud-governance-evaluation-report 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

alibabacloud-governance-evaluation-report 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

alibabacloud-governance-evaluation-report 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

alibabacloud-governance-evaluation-report 用的人多吗?

公开数据是累计安装 4,088 次,近一周安装 167 次,下载 1,309 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

alibabacloud-governance-evaluation-report 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
alibabacloud-governance-evaluation-report

阿里巴巴云治理评估报告 · 本页

4,088—需要联网MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
alibabacloud-governance-evaluation-report
description
|
Triggers
云治理", "成熟度检测", "合规检查", "安全风险", "治理检测", "governance evaluation",

Alibaba Cloud Governance Center Evaluation Report

Guide users to discover governance risks, focus on critical issues, and take remediation actions through a progressive drill-down workflow.

Scenario Description

This skill is a problem-discovery and resolution guide — not a comprehensive audit report generator. It operates as a progressive disclosure funnel:

  1. Overview (quick diagnosis) — Score + pillar distribution + top critical risks → guide user to choose a direction
  2. Pillar analysis (focused drill-down) — All risks in a specific domain, controlled by severity → guide user to specific items
  3. Detail (deep dive) — Single check item with full remediation steps → guide user to related items or resources
  4. Resources (action) — Non-compliant resource listing for targeted remediation

Each layer focuses on the most important information and guides the user to the next level. Avoid information overload — keep output concise and actionable.

Architecture: Governance Center API → CLI (aliyun governance) → governance_query.py (merge + cache) → JSON output → Agent report

How It Works

Data Sources — Three APIs provide all data:

  1. list-evaluation-metadata — Check item definitions (name, description, pillar, level, remediation)
  2. list-evaluation-results — Actual results (status, risk, compliance rate, score)
  3. list-evaluation-metric-details — Non-compliant resource details for a specific check item

Processing — The script (governance_query.py) merges data sources and caches results for 1 hour. It provides 4 query modes: overview, pillar, detail, resources.

Output — Structured JSON for Agent to generate user-friendly reports. Reports are output directly in the conversation as formatted text, NOT written to files.


Prerequisites

Pre-check: Aliyun CLI >= 3.3.0 required Run aliyun version to verify. If not installed or version too low, see references/cli-installation-guide.md for installation instructions. Then [MUST] run aliyun configure set --auto-plugin-install true to enable automatic plugin installation.
aliyun version                                    # >= 3.3.0
aliyun configure set --auto-plugin-install true   # Enable auto plugin install
python3 --version                                 # Python 3.x

Authentication

Configure CLI authentication (OAuth recommended):

# OAuth mode (recommended)
aliyun configure --mode OAuth

## RAM Policy

Requires Governance Center read permissions. See [references/ram-policies.md](references/ram-policies.md) for full policy.

Minimum required permissions:
- `governance:ListEvaluationMetadata`
- `governance:ListEvaluationResults`

Or attach system policy: **AliyunGovernanceReadOnlyAccess**

## Parameter Confirmation

This skill has minimal user-specific parameters. The following may require confirmation:

| Parameter Name | Required/Optional | Description | Default Value |
|----------------|-------------------|-------------|---------------|
| `--profile` | Optional | Aliyun CLI profile name | Default profile |
| `-c, --category` | Required (pillar mode) | Pillar category name | N/A |
| `--id` | Required (detail/resources mode) | Check item metric ID | N/A |
| `--keyword` | Optional (detail mode) | Search keyword for check items | N/A |
| `--max-results` | Optional (resources mode) | Max results per page | 50 |

## Verification

Verify setup before use:

Test CLI connection

aliyun governance list-evaluation-results \ --user-agent AlibabaCloud-Agent-Skills \ --cli-query "Results.TotalScore"

Test script

python3 scripts/governance_query.py overview


See [references/verification-method.md](references/verification-method.md) for detailed steps.

---

## Core Workflow

> **IMPORTANT: Parameter Confirmation** — Before executing any command or API call,
> ALL user-customizable parameters (e.g., `--profile`, `--category`, `--id`, `--keyword`,
> `--max-results`, etc.) MUST be confirmed with the user.
> Do NOT assume or use default values without explicit user approval.

> **IMPORTANT: Output Format** — Reports are format specifications for conversation output only.
> Always output report content directly in the chat message as formatted Markdown.
> Do NOT create or write report files (e.g., `.md`, `.txt`, `.html`). No file generation is needed.

Script location: [scripts/governance_query.py](scripts/governance_query.py)

### Global Options

| Option | Description |
|--------|-------------|
| `--refresh` | Force refresh cache (default: 1-hour TTL) |

---

### Mode 1: `overview` — Overall Maturity Report

**When to use**: User asks about overall account health, maturity score, or wants a summary.

python3 scripts/governance_query.py overview python3 scripts/governance_query.py overview -r Error # Only high-risk items python3 scripts/governance_query.py overview -r Error,Warning # High + medium risk python3 scripts/governance_query.py --refresh overview # Force fresh data


**Options**:

| Option | Description |
|--------|-------------|
| `-r, --risk` | Filter RiskyItems by risk level (comma-separated: `Error`, `Warning`, `Suggestion`). PillarSummary and RiskDistribution are always complete. |

**Output JSON fields**:
- `TotalScore` — Overall maturity score (0.0-1.0)
- `PillarSummary` — Per-pillar statistics (checked/risky counts, always unfiltered)
- `RiskDistribution` — Count by risk level (always unfiltered)
- `RiskyItems` — Items with risk, filtered by `--risk` if specified, sorted by severity
- `RiskFilter` — Applied risk filter values (only present when `--risk` is used)

**Report format**: Read [references/report-format-overview.md](references/report-format-overview.md) for the exact output format.

---

### Mode 2: `pillar` — Pillar-Specific Report

**When to use**: User asks about a specific domain (security, reliability, cost, etc.).

python3 scripts/governance_query.py pillar -c <Category> [options]


**Options**:

| Option | Description |
|--------|-------------|
| `-c, --category` | **Required**. Pillar name (see below) |
| `--risky` | Only show items with risk (exclude compliant) |
| `-l, --level` | Filter by recommendation level (comma-separated) |
| `-r, --risk` | Filter by actual risk level (comma-separated) |

**Category values**:
- `Security` — 安全
- `Reliability` — 稳定
- `CostOptimization` — 成本
- `OperationalExcellence` — 效率
- `Performance` — 性能

**Level values**: `Critical`, `High`, `Medium`, `Suggestion`

**Risk values**: `Error`, `Warning`, `Suggestion`, `None`

**Examples**:

安全支柱所有风险项

python3 scripts/governance_query.py pillar -c Security --risky

仅严重和高优先级的错误/警告

python3 scripts/governance_query.py pillar -c Security -l Critical,High -r Error,Warning --risky


**Output JSON fields**:
- `Category`, `CategoryCN` — Pillar name
- `MatchedCount` — Number of matched items
- `Items` — List of check items with status

**Report format**: Read [references/report-format-pillar.md](references/report-format-pillar.md) for the exact output format.

---

### Mode 3: `detail` — Check Item Detail

**When to use**: User asks about a specific check item or how to fix an issue.

python3 scripts/governance_query.py detail --id <metric-id> python3 scripts/governance_query.py detail --keyword <search-term>


**Options**:

| Option | Description |
|--------|-------------|
| `--id` | Check item ID (e.g., `apbxftkv5c`) |
| `--keyword` | Search by name/description (if multiple matches, shows list) |

**Examples**:

按 ID 查询

python3 scripts/governance_query.py detail --id apbxftkv5c

按关键字搜索

python3 scripts/governance_query.py detail --keyword "MFA"


**Output JSON fields**:
- Basic info: `Id`, `DisplayName`, `Description`, `Category`
- Status: `Status`, `Risk`, `Compliance`, `NonCompliant`
- `Remediation` — Fix steps (Manual/Analysis/QuickFix)

**Report format**: Read [references/report-format-detail.md](references/report-format-detail.md) for the exact output format. The detail format also covers the resources listing when needed.

---

### Mode 4: `resources` — Non-Compliant Resources

**When to use**: User wants to see which specific resources failed a check item.

python3 scripts/governance_query.py resources --id <metric-id>


**Options**:

| Option | Description |
|--------|-------------|
| `--id` | **Required**. Check item ID |
| `--max-results` | Max results per page (default: 50) |

**Examples**:

查询未启用 MFA 的 RAM 用户列表

python3 scripts/governance_query.py resources --id apbxftkv5c

查询开放高危端口的安全组

python3 scripts/governance_query.py resources --id a9g6pv7r5b


**Output JSON fields**:
- `MetricId` — Check item ID
- `TotalCount` — Number of non-compliant resources
- `Resources[]` — List of resources:
  - `ResourceId`, `ResourceName`, `ResourceType`
  - `RegionId`, `ResourceOwnerId`
  - `Classification` — Risk classification
  - `Properties` — Resource-specific attributes

---

## Mode Selection Guide

| User says... | Use mode | Command | Report format |
|--------------|----------|---------|---------------|
| "查查我的账号安全吗" / "成熟度得分" / "分析下治理检测结果" | `overview` | `overview` | [overview](references/report-format-overview.md) |
| "有哪些高风险项" / "看下所有高风险" | `overview` | `overview -r Error` | [overview](references/report-format-overview.md) |
| "中风险以上的问题" | `overview` | `overview -r Error,Warning` | [overview](references/report-format-overview.md) |
| "安全方面有哪些问题" / "XX支柱的风险" | `pillar` | `pillar -c Security --risky` | [pillar](references/report-format-pillar.md) |
| "网络安全相关的检测项" / "数据库风险" | `pillar` + keyword filter | `pillar -c Security --risky` then filter by keyword | [pillar](references/report-format-pillar.md) |
| "高优先级的问题" | `pillar` | `pillar -c Security -l Critical,High --risky` | [pillar](references/report-format-pillar.md) |
| "MFA怎么修" / "XX检测项详情" | `detail` | `detail --keyword "MFA"` | [detail](references/report-format-detail.md) |
| "哪些用户没开MFA" / "不合规资源有哪些" | `detail` + `resources` | `detail --id xxx` then `resources --id xxx` | [detail](references/report-format-detail.md) |

**Default**: If user doesn't specify pillar or check item, use `overview`.

**Report format selection**: After determining the query mode, read the corresponding report format reference file before generating output. Only read the format file that matches the user's intent — do not read all format files at once.

## Field Reference

| Field | Values | Note |
|-------|--------|------|
| `Risk` | `Error`(高风险) > `Warning`(中风险) > `Suggestion`(低风险) > `None`(合规) | Actual detected risk |
| `RecommendationLevel` | `Critical` > `High` > `Medium` > `Suggestion` | Recommended priority |
| `Status` | `Finished` / `NotApplicable` / `Failed` | Check execution status |
| `Compliance` | 0.0 - 1.0 | 1.0 = fully compliant |

## Cache & Cleanup

Only metadata (check item definitions) is cached locally — results are always fetched in real-time.

- Cache location: `~/.governance_cache/metadata.json`
- TTL: 24 hours (metadata rarely changes)
- `list-evaluation-results` and `list-evaluation-metric-details` are **never cached**

Force refresh metadata cache

python3 scripts/governance_query.py --refresh overview

Clear cache manually

rm -rf ~/.governance_cache/


## Best Practices

1. **Focus, don't dump** — Each report layer should highlight what matters most, not list everything. Read the corresponding report format reference for quantity control rules
2. **Follow the funnel** — Start with `overview`, guide user to `pillar`, then to `detail`. Don't skip layers unless user explicitly asks for a specific item
3. **Use `--risky` filter for pillar mode** — Reduces noise by hiding compliant items when investigating issues
4. **Prioritize by Risk + Level** — Focus on `Error` risk with `Critical`/`High` recommendation level first
5. **Follow remediation guidance** — Use `detail` mode to get actionable fix steps before modifying resources
6. **Always guide next steps** — Every report must end with follow-up guidance based on actual data, helping users continue exploring
7. **Cache management** — Only metadata is cached (24h TTL); results are always real-time. Use `--refresh` to force metadata refresh

## References

| File | Content |
|------|---------|
| [report-format-overview.md](references/report-format-overview.md) | Report format: overall governance overview |
| [report-format-pillar.md](references/report-format-pillar.md) | Report format: pillar / keyword aggregated analysis |
| [report-format-detail.md](references/report-format-detail.md) | Report format: single check item detail + resources |
| [related-apis.md](references/related-apis.md) | CLI commands and API details |
| [ram-policies.md](references/ram-policies.md) | Required permissions |
| [verification-method.md](references/verification-method.md) | Verification steps |
| [cli-installation-guide.md](references/cli-installation-guide.md) | CLI installation |

平台分布

OpenClaw

71.83%
按下载量换算940

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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