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Agent Skill · 研究检索

ops-inspector(行动检查员)

ops-inspector 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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。

ops-inspector 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,674 个 Skill 里排第 42,285。

总安装 1,091周安装 45GitHub Stars 50下载 356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
unknown

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:ops-inspector(行动检查员)
来源仓库:https://github.com/tencentcloudbase/skills
仓库路径:skills/ops-inspector
安装命令:
npx skills add https://github.com/tencentcloudbase/skills --skill ops-inspector
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/tencentcloudbase/skills --skill ops-inspector

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。

ops-inspector 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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。适用于安全审计、漏洞扫描和系统监控等需要深度信息探查的场景。可按威胁类型、资产类别或日志特征进行定向检索。

安装命令:npx skills add https://github.com/tencentcloudbase/skills --skill ops-inspector;需配置相应云服务商凭证。敏感操作建议在隔离环境中测试后再应用于生产。

来源仓库内路径:skills/ops-inspector

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/tencentcloudbase/skills --skill ops-inspector;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

    它需要调用外部服务,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

ops-inspector 怎么安装?

在终端执行 npx skills add https://github.com/tencentcloudbase/skills --skill ops-inspector。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

ops-inspector 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

ops-inspector 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

ops-inspector 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

ops-inspector 用的人多吗?

公开数据是累计安装 1,091 次,近一周安装 45 次,下载 356 次,GitHub 50 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。

ops-inspector 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

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 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

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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 Codex,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。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 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
ops-inspector

行动检查员 · 本页

1,09150调用外部服务未明确通过

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

Standalone Install Note

If this environment only installed the current skill, start from the CloudBase main entry and use the published cloudbase/references/... paths for sibling skills.

  • CloudBase main entry: https://cnb.cool/tencent/cloud/cloudbase/cloudbase-skills/-/git/raw/main/skills/cloudbase/SKILL.md
  • Current skill raw source: https://cnb.cool/tencent/cloud/cloudbase/cloudbase-skills/-/git/raw/main/skills/cloudbase/references/ops-inspector/SKILL.md

Keep local references/... paths for files that ship with the current skill directory. When this file points to a sibling skill such as cloud-functions or cloudrun-development, use the standalone fallback URL shown next to that reference.

Activation Contract

Use this first when

  • The user wants to check the health or status of CloudBase resources (cloud functions, CloudRun, databases, storage, etc.).
  • The user reports errors, failures, or abnormal behavior and wants a quick diagnosis.
  • The user asks for an "inspection", "health check", "巡检", "诊断", or "troubleshooting" of their CloudBase environment.
  • The user wants to review recent error logs across services.

Read before writing code if

  • The inspection reveals code-level issues in cloud functions or CloudRun services — then read the relevant implementation skill before suggesting fixes.
  • The user wants to fix a problem found during inspection rather than just diagnose it.

Then also read

  • Cloud function issues -> ../cloud-functions/SKILL.md (standalone fallback: https://cnb.cool/tencent/cloud/cloudbase/cloudbase-skills/-/git/raw/main/skills/cloudbase/references/cloud-functions/SKILL.md)
  • CloudRun issues -> ../cloudrun-development/SKILL.md (standalone fallback: https://cnb.cool/tencent/cloud/cloudbase/cloudbase-skills/-/git/raw/main/skills/cloudbase/references/cloudrun-development/SKILL.md)
  • Database issues -> ../relational-database-tool/SKILL.md (standalone fallback: https://cnb.cool/tencent/cloud/cloudbase/cloudbase-skills/-/git/raw/main/skills/cloudbase/references/relational-database-tool/SKILL.md) or ../no-sql-web-sdk/SKILL.md (standalone fallback: https://cnb.cool/tencent/cloud/cloudbase/cloudbase-skills/-/git/raw/main/skills/cloudbase/references/no-sql-web-sdk/SKILL.md)
  • Platform overview -> ../cloudbase-platform/SKILL.md (standalone fallback: https://cnb.cool/tencent/cloud/cloudbase/cloudbase-skills/-/git/raw/main/skills/cloudbase/references/cloudbase-platform/SKILL.md)

Do NOT use for

  • Deploying new resources or writing application code. This skill is read-only and diagnostic.
  • Replacing proper monitoring/alerting infrastructure. It provides point-in-time inspection, not continuous monitoring.
  • Directly fixing problems — it diagnoses and recommends; actual fixes should use the appropriate implementation skill.

Common mistakes / gotchas

  • Running a full inspection without first confirming the environment is bound (auth tool must show logged-in and env-bound state).
  • Ignoring CLS log service status — if CLS is not enabled, queryLogs will fail; always check first with queryLogs(action="checkLogService").
  • Searching logs without a time range — this can return excessive or irrelevant results. Always scope searches to a relevant time window.
  • Treating a single error log as the root cause without correlating across resources. A function error may stem from a database or config issue.

Minimal checklist

  • Environment is bound and accessible (envQuery(action="info"))
  • CLS log service is enabled (queryLogs(action="checkLogService"))
  • All target resources are listed before diving into details
  • Time range is specified for any log searches
  • Findings are summarized with severity levels and actionable recommendations

How to use this skill (for a coding agent)

Inspection Modes

The skill supports two modes based on user intent:

ModeWhen to useScope
Full inspectionUser asks for a general health check / 巡检 / 全面检查All resource types in the environment
Targeted inspectionUser reports a specific error or asks about a specific resourceOne resource type or a specific resource

Full Inspection Workflow

Follow these steps in order for a comprehensive environment health check:

Step 1 — Environment Check

envQuery(action="info")

Confirm the environment is accessible. Record the envId for console link generation.

Step 2 — Log Service Status

queryLogs(action="checkLogService")

If CLS is not enabled, note this as a warning — log-based diagnosis will be unavailable. Recommend enabling CLS in the console: https://tcb.cloud.tencent.com/dev?envId=${envId}#/devops/log

Step 3 — Cloud Functions Inspection

queryFunctions(action="listFunctions")

For each function, check:

  • Status: Is the function in an active/deployed state?
  • Recent errors: queryFunctions(action="listFunctionLogs", functionName="<name>", startTime="<recent>")
  • Common issues:

- Timeout errors (execution exceeded limit) - Memory limit exceeded - Runtime errors (unhandled exceptions) - Cold start frequency

Step 4 — CloudRun Services Inspection

queryCloudRun(action="list")

For each service, check:

  • Status: Is the service running?
  • Detail: queryCloudRun(action="detail", detailServerName="<name>")
  • Common issues:

- Service not running (scaled to zero or crashed) - Image pull failures - OOMKilled events - Health check failures

Step 5 — Error Log Aggregation (if CLS is enabled)

queryLogs(action="searchLogs", queryString="ERROR", service="tcb", startTime="<24h-ago>", limit=50)
queryLogs(action="searchLogs", queryString="ERROR", service="tcbr", startTime="<24h-ago>", limit=50)

Look for patterns:

  • Repeated error messages (same error many times)
  • Cascading failures (errors in multiple services around the same time)
  • Timeout patterns

Step 6 — Summary Report

Generate a structured report:

# CloudBase Resource Inspection Report

**Environment**: ${envId}
**Inspection Time**: ${timestamp}

## Overall Health: ✅ Healthy / ⚠️ Warnings Found / ❌ Issues Found

### Cloud Functions
| Function | Status | Recent Errors | Severity |
|----------|--------|---------------|----------|
| ... | ... | ... | ... |

### CloudRun Services
| Service | Status | Issues | Severity |
|---------|--------|--------|----------|
| ... | ... | ... | ... |

### Error Log Summary
- Total errors in last 24h: N
- Top error patterns: ...

## Recommendations
1. ...
2. ...

## Console Links
- Cloud Functions: https://tcb.cloud.tencent.com/dev?envId=${envId}#/scf
- CloudRun: https://tcb.cloud.tencent.com/dev?envId=${envId}#/platform-run
- Logs: https://tcb.cloud.tencent.com/dev?envId=${envId}#/devops/log

Targeted Inspection Workflow

When the user specifies a resource type or a specific resource:

  1. Cloud function errors: queryFunctions(action="listFunctionLogs", functionName="<name>") then queryLogs(action="searchLogs", queryString="* AND functionName:<name> AND level:ERROR",...)
  2. CloudRun errors: queryCloudRun(action="detail", detailServerName="<name>") then queryLogs(action="searchLogs", queryString="ERROR", service="tcbr",...)
  3. Database issues: Check querySqlDatabase or readNoSqlDatabaseStructure depending on type
  4. General error search: queryLogs(action="searchLogs", queryString="<error-keyword>",...)

AIOps Methodology

This skill follows AIOps principles for intelligent inspection:

  1. Data Collection: Gather logs and resource states via MCP tools
  2. Pattern Recognition: Identify recurring errors, anomaly patterns, and correlations across services
  3. Root Cause Hypothesis: Based on error patterns, suggest likely root causes (e.g., a function timeout may be caused by a database query bottleneck)
  4. Actionable Recommendations: Provide specific, prioritized remediation steps with links to relevant skills and console pages

Severity Levels

LevelIconMeaning
Critical❌Service is down or data is at risk; requires immediate action
Warning⚠️Errors detected but service is still partially functional; investigate soon
Infoℹ️No errors found; informational status only
Healthy✅Resource is operating normally

Preferred Tool Map

OperationMCP Tool Call
Check environmentenvQuery(action="info")
Check CLS statusqueryLogs(action="checkLogService")
List cloud functionsqueryFunctions(action="listFunctions")
Get function detailqueryFunctions(action="getFunctionDetail", functionName="<name>")
Get function logsqueryFunctions(action="listFunctionLogs", functionName="<name>", startTime="<time>", endTime="<time>")
Get function log detailqueryFunctions(action="getFunctionLogDetail", requestId="<id>")
List CloudRun servicesqueryCloudRun(action="list")
Get CloudRun detailqueryCloudRun(action="detail", detailServerName="<name>")
Search CLS logs`queryLogs(action="searchLogs", queryString="<query>", service="tcb\tcbr", startTime="<time>", endTime="<time>")`
Check NoSQL structurereadNoSqlDatabaseStructure(action="listCollections")
Check MySQL statusquerySqlDatabase(action="getContext")

Common CLS Query Patterns

ScenarioqueryString
All errorsERROR
Function timeouttimeout OR 超时
Function OOMOOM OR out of memory OR 内存超限
CloudRun crashcrash OR OOMKilled OR Error
Specific function errorsfunctionName:<name> AND level:ERROR
5xx HTTP errorsstatusCode:>499
Cold start issuescoldStart OR 冷启动

Time Range Guidance

  • Quick check: Last 1 hour (startTime = 1 hour ago)
  • Standard inspection: Last 24 hours
  • Trend analysis: Last 7 days
  • Specific incident: Narrow to the reported time window

Always use ISO 8601 format for startTime/endTime, e.g., "2025-01-15 00:00:00".

Related Skills

  • cloud-functions — Cloud function development, deployment, and debugging
  • cloudrun-development — CloudRun backend deployment and management
  • cloudbase-platform — General platform knowledge and console navigation
  • relational-database-tool — MySQL database management and diagnostics

平台分布

Codex

41.31%
按下载量换算147

Claude

28.64%
按下载量换算102

Cursor

18.56%
按下载量换算66

Gemini CLI

9.32%
按下载量换算33

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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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