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Agent Skill · 开发

alibabacloud-ram-permission-diagnose(阿里云 ram 权限诊断)

alibabacloud-ram-permission-diagnose 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 OpenClaw 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。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-ram-permission-diagnose 是开发类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为执行命令;许可证为 MIT-0,第三方扫描有提醒项,按安装量在开发类的 21,746 个 Skill 里排第 6,656。

总安装 4,488周安装 187GitHub Stars 1下载 1,496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
0.0.2

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-ram-permission-diagnose(阿里云 ram 权限诊断)
来源仓库:https://github.com/sdk-team/alibabacloud-ram-permission-diagnose
安装命令:
openclaw skills install alibabacloud-ram-permission-diagnose
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-ram-permission-diagnose

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

阿里云RAM权限诊断修复助手,解决403等权限错误问题。适用于跨服务授权缺失与策略配置不当场景。可自动识别最小权限集与策略冲突点。安装命令:openclaw skills install alibabacloud-ram-permission-diagnose。使用前需谨慎评估权限变更影响,避免过度授权风险。

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-ram-permission-diagnose;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

    它需要执行命令,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-ram-permission-diagnose 怎么安装?

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

alibabacloud-ram-permission-diagnose 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-ram-permission-diagnose 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 openclaw skills install alibabacloud-ram-permission-diagnose 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

alibabacloud-ram-permission-diagnose 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-ram-permission-diagnose 用的人多吗?

公开数据是累计安装 4,488 次,近一周安装 187 次,下载 1,496 次,GitHub 1 星。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-ram-permission-diagnose 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
alibabacloud-ram-permission-diagnose

阿里云 ram 权限诊断 · 本页

4,4881执行命令MIT-0有提醒

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-ram-permission-diagnose
description
>
compatibility
tools

RAM Permission Diagnosis and Repair

Installation

Pre-check: Aliyun CLI >= 3.3.3 required

Run aliyun version to verify >= 3.3.3. If not installed or version too low, run curl -fsSL https://aliyuncli.alicdn.com/setup.sh | bash to update, or see references/cli-installation-guide.md for installation instructions.

Pre-check: Aliyun CLI plugin update required

[MUST] run aliyun configure set --auto-plugin-install true to enable automatic plugin installation. [MUST] run aliyun plugin update to ensure that any existing plugins are always up-to-date.

At the start of the Core Workflow (before any CLI invocation): [MUST] Enable AI-Mode — AI-mode is required for Agent Skill execution. Run the following commands before any CLI invocation:

aliyun configure ai-mode enable
aliyun configure ai-mode set-user-agent --user-agent "AlibabaCloud-Agent-Skills/alibabacloud-ram-permission-diagnose"

[MUST] Disable AI-Mode at EVERY exit point — Before delivering the final response for ANY reason, always disable AI-mode first. This applies to ALL exit paths: workflow success, workflow failure, error/exception, user cancellation, session end, or any other scenario where no further CLI commands will be executed. AI-mode is only used for Agent Skill invocation scenarios and MUST NOT remain enabled after the skill stops running.

aliyun configure ai-mode disable

[MUST] CLI User-Agent — Every aliyun CLI command invocation must include: --user-agent AlibabaCloud-Agent-Skills/alibabacloud-ram-permission-diagnose

Execution constraint: When executing aliyun CLI commands directly (not generating commands for the user to copy), always append --user-agent AlibabaCloud-Agent-Skills/alibabacloud-ram-permission-diagnose. Do not add this flag to commands shown to users in Path B output or Path C console guidance.

Overview

When a RAM permission error is detected, run through these steps:

  1. Quick Analysis — parse raw error fields (no tool calls), output a brief summary, ask the user to choose analysis depth
  2. Deep Analysis — *(only if user selects path B)* decode if needed, run gap analysis, classify root cause
  3. Generate Recommendations — least-privilege authorization plan
  4. Execute Repair — present repair options and wait for user to choose

Permission level (L0–L3) is the agent's internal routing state, inferred implicitly from API call results during the flow. It determines diagnostic depth and available repair paths. Never declare or describe the level to the user. See references/diagnose-flow.md for level definitions.


Step 1: Quick Analysis

Parse raw error fields without any tool calls, then let the user decide how deep to go.

1a. Extract from raw error

  • error_code: e.g., NoPermission, Forbidden, InvalidSecurityToken
  • missing_action: e.g., ecs:StopInstance
  • principal_type: SubUser / AssumedRoleUser / RootUser (from AuthPrincipalType)
  • principal_display_name: UserId or role:session (from AuthPrincipalDisplayName)
  • no_permission_type: ImplicitDeny or ExplicitDeny (from NoPermissionType)
  • policy_type: e.g., AccountLevelIdentityBasedPolicy, AssumeRolePolicy (from PolicyType)
  • encoded_message: retain EncodedDiagnosticMessage if present, for use in Step 2 if needed

1b. Output brief summary

Based on the extracted fields, output a concise summary: who is affected, what action is missing, initial root cause inference.

1c. Present depth choice and wait for selection

Present the following and wait for the user to select — do not proceed until a choice is made:

  • A. Quick path *(recommended when: ImplicitDeny + all key fields present + common service)* — skip Step 2, generate recommendations directly from raw fields and built-in knowledge
  • B. Deep path *(recommended when: ExplicitDeny, missing fields, or unfamiliar service)* — run full Step 2 analysis for a more precise result.

> Requires two optional permissions: ram:DecodeDiagnosticMessage (decode encoded errors) and system policy AliyunRAMReadOnlyAccess (gap analysis). Missing permissions limit specific capabilities but the flow continues.

  • Skip — stop here; output manual troubleshooting links

Mark the recommended option clearly and briefly explain why.

If user selects A: proceed to Step 3. Note in the recommendation that it is based on quick analysis; the user can request deep analysis at any time.

If user selects B: proceed to Step 2.

If user selects Skip: output error summary, links to RAM documentation (https://help.aliyun.com/document_detail/93733.html) and RAM console (https://ram.console.aliyun.com/policies), and a note on how to restart diagnosis.

Edge case — ExplicitDeny with path A forced: if NoPermissionType = ExplicitDeny and the user still selects A, explain that the specific Deny policy cannot be identified without deep analysis, and provide a limited recommendation with explicit uncertainty noted.


Step 2: Deep Analysis

*Entered only when the user selects path B in Step 1.*

First attempt classification using the raw fields from Step 1. DecodeDiagnosticMessage is a supplement — invoke it only when raw data is insufficient to classify with confidence.

Decode when raw data alone cannot resolve the root cause: e.g., ExplicitDeny is present (need MatchedPolicies), AccessDeniedDetail was absent, or PolicyType is missing. For cases where NoPermissionType, AuthAction, AuthPrincipalType, and PolicyType are all available and point to a clear root cause, skip decode and proceed directly.

Transcribe EncodedDiagnosticMessage from the raw error and call:

aliyun ram decode-diagnostic-message --encoded-diagnostic-message "<transcribed-value>"

If the call returns EntityNotExist, re-run the original failing command and save its output to a temp file (use the system temp dir; name the file after the command context, e.g. /tmp/aliyun_ecs_stopinstance.txt). Extract EncodedDiagnosticMessage from the file and retry the decode. If the field is not found in the file, mark as L0 and continue.

If SubUser identity needs UserName resolution before gap analysis, see references/diagnose-flow.md → Identity Resolution. If resolution fails, mark as L0 and continue.

Root cause categories:

  • MissingAction — identity policy lacks the required Action (most common)
  • ExplicitDeny — a Deny statement blocks access (may be identity policy or CP control policy)
  • TrustPolicy — role trust policy does not allow the caller to assume the role
  • STSInsufficient — STS temporary credential lacks permission; root cause is on the originating Role
  • TokenExpired — STS token has expired
  • SLRMissing — service-linked role has not been created
  • ResourcePolicy — resource-side policy (e.g., OSS Bucket Policy) is restricting access

For gap analysis trigger rules and per-root-cause handling details, see references/diagnose-flow.md.

Gap analysis (when triggered): query current policies attached to the identity, then compare against the required Action. Use ListPoliciesForUser (SubUser), ListPoliciesForRole (AssumedRoleUser), or ListControlPolicies (RootUser). For Custom policies, fetch the policy document with GetPolicyVersion. System policies: use built-in knowledge, do not call GetPolicyVersion.

When permissions are insufficient: if DecodeDiagnosticMessage fails (L0) or policy queries fail (L1), inform the user of the limitation and provide ready-to-use permission request materials for a RAM admin — two independent options: ① decode permission (ram:DecodeDiagnosticMessage) as a custom policy; ② RAM read access via system policy AliyunRAMReadOnlyAccess (covers gap analysis). Either or both can be requested independently. Then continue to Step 3 without waiting.


Step 3: Generate Recommendations

Before generating, check for caller skill permission hints (see references/diagnose-flow.md → Coverage Check).

Knowledge source priority:

  1. Built-in knowledge — for popular services (ECS, OSS, RDS, FC, SLB, VPC, SLS, STS, etc.), use known Action semantics directly. Reference references/hot-services-ram.md.
  2. Caller skill hints — if ram-policies.md was found, use as supplementary context
  3. Web search — search {product} RAM authorization site:help.aliyun.com; prefer manually maintained docs with business examples over auto-generated Action tables
  4. System policy fallback — recommend AliyunXxxReadOnlyAccess or AliyunXxxFullAccess with a note to tighten further

Custom policy naming: suggest a name based on service and task semantics (e.g., ai-agent-ecs-permissions), confirm once, reuse in the same session.

System policy: attach directly with a single command, no naming needed.

For the Trust Policy root cause path, recommendations differ — see references/diagnose-flow.md → Handling Each Root Cause.

After presenting the recommendation, add a brief note: the current plan is a starting point; the user can request further refinement at any time — for example, scoping down to specific resources, adding conditions, or using resource-level policies (such as OSS bucket policies) instead of identity-level grants.


Step 4: Execute Repair

Before executing any write operation, present the change summary and all available paths to the user, then wait for the user to select a path — do not proceed or output any commands until the user has chosen:

  • Target (user or role name)
  • Change summary (policy name, action, undo method)
  • Path options (always present all that are available for the current level — never skip any):

- A. Direct CLI execution — agent runs commands now *(only at L2)* - B. Output CLI commands — user copies and runs in their own terminal *(all levels)* - C. Console guidance — step-by-step in RAM console *(all levels)* - Skip — do not execute

For pre-query requirements before write operations, and full CLI command examples, see references/ram-cli-commands.md and references/diagnose-flow.md.

Path A: agent executes via Bash. On success → L3 confirmed; report result and undo command. On NoPermission → switch to Path B automatically.

Path B at L0/L1: output incremental Statement JSON only, with a note that existing policies could not be read and the user must merge manually.

Path B at L2: offer two sub-options: ① incremental Statement only, ② complete merged policy JSON.

Path C: provide the RAM console entry (https://ram.console.aliyun.com/policies) and step-by-step instructions for completing the change in the console UI.

After repair, suggest the user retry the previously failed operation. Offer to retry on their behalf if requested.

平台分布

OpenClaw

95.95%
按下载量换算1,435

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install alibabacloud-ram-permission-diagnose 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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