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Agent Skill · 研究检索

dtctl(dtctl 搜索)

dtctl 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。

dtctl 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,权限为操作浏览器;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 23,941。

总安装 4,140周安装 176GitHub Stars 128下载 1,450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:dtctl(dtctl 搜索)
来源仓库:https://github.com/dynatrace-oss/dtctl
仓库路径:skills/dtctl
安装命令:
npx skills add https://github.com/dynatrace-oss/dtctl --skill dtctl
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/dynatrace-oss/dtctl --skill dtctl

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。

dtctl 提供 kubectl 风格的原生 Dynatrace 操作 CLI 工具集。适用于配置管理、资源操作和环境管理等运维场景。支持命令自动发现、上下文切换和用户身份验证等功能。使用前需完成初始化和权限验证,特别注意生产环境的操作风险。dtctl 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/dtctl

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/dynatrace-oss/dtctl --skill dtctl;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

    它需要操作浏览器,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

dtctl 怎么安装?

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

dtctl 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。

dtctl 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

dtctl 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。

dtctl 用的人多吗?

公开数据是累计安装 4,140 次,近一周安装 176 次,下载 1,450 次,GitHub 128 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。

dtctl 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

  • 同时适配 4 种工具,换客户端不用重新找替代品。

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 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
dtctl

dtctl 搜索 · 本页

4,140128操作浏览器未明确有提醒

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

Dynatrace Control with dtctl

Operate dtctl, the kubectl-style CLI for Dynatrace. This skill teaches core dtctl command patterns and operations.

Recommended Initialization

At the start of a task, run these checks to establish context and permissions:

# Discover all available commands, flags, and resources
dtctl commands --brief -o json

# Show current context
dtctl config current-context

# Show context details
dtctl config describe-context $(dtctl config current-context) --plain

# Show authenticated user
dtctl auth whoami --plain

This displays:

  • Current context name and environment URL
  • Safety level (readonly, readwrite-mine, readwrite-all, dangerously-unrestricted)
  • Authenticated user identity (name, email, UUID)

DQL Reference Usage

Before writing, modifying, or executing any DQL that fetches Dynatrace data (for example via dtctl query, dtctl wait query, or query files), you MUST consult references/DQL-reference.md and follow its documented syntax and templates.

If there is any conflict between memory/assumptions and the reference, prefer the reference.

Prerequisites

If dtctl is not installed or not working, see references/troubleshooting.md for installation and setup.

Resources & Commands

Available Resources

dtctl uses a uniform pattern for all resource types. Discover schema from actual output with dtctl describe <resource> <id> -o json --plain.

ResourceAliases
analyzeranalyzers
appapps
bucketbkt
copilot-skillcopilot-skills
dashboarddash
edgeconnectec
extensionext, extensions
extension-configextcfg, extension-configs
functionfn, func
groupgroups
intentintents
lookuplookups, lkup
notebooknb
notificationnotifications
sdk-versionsdk-versions
settingssetting
settings-schemaschema
slo-
slo-templateslo-templates
trashdeleted
userusers
workflowwf
workflow-executionwfe

Use IDs whenever possible instead of names to avoid ambiguity.

Command Verbs

VerbDescriptionExample
getList resourcesdtctl get workflows --mine
describeShow resource detailsdtctl describe workflow <id>
editEdit resource interactivelydtctl edit dashboard <id>
applyCreate/update from filedtctl apply -f workflow.yaml --set env=prod
deleteDelete resourcedtctl delete workflow <id>
execExecute workflow/function/analyzer/copilotdtctl exec workflow <id>
queryRun DQL query`dtctl query "fetch logs \limit 10"`
logsPrint resource logsdtctl logs workflow-execution <id>
waitWait for conditionsdtctl wait query "fetch logs" --for=any
historyShow document historydtctl history dashboard <id>
restoreRestore document versiondtctl restore dashboard <id> --version 3
shareShare documentdtctl share dashboard <id> --user email@example.com
unshareRemove sharingdtctl unshare dashboard <id> --user email@example.com
findDiscover resourcesdtctl find intents --data trace.id=abc
openOpen in browserdtctl open intent <app/intent> --data key=value
diffCompare resourcesdtctl diff -f workflow.yaml
verifyValidate without executingdtctl verify query 'fetch logs' --fail-on-warn
commandsList all commands (machine-readable)dtctl commands --brief -o json

Key Concepts for AI Agents

Output Modes

# Agent envelope mode (auto-detected in AI environments)
-A, --agent      # Structured JSON envelope with ok/result/error/context
--no-agent       # Opt out of auto-detected agent mode

# Machine-readable formats (use these for AI agents)
-o json          # JSON output
-o yaml          # YAML output
-o csv           # CSV output
-o chart         # ASCII chart (for time series)
-o sparkline     # ASCII sparkline (for time series)
-o barchart      # ASCII bar chart (for time series)

# Human-readable formats
-o table         # Table format (default)
-o wide          # Wide table with more columns

# Always use --plain flag for AI consumption (implied by --agent)
--plain          # Strips colors and prompts, best for parsing

For AI agents, prefer: dtctl <command> --agent (auto-detected) or dtctl <command> -o json --plain

The --agent envelope provides structured metadata alongside results:

{
  "ok": true,
  "result": [ ... ],
  "context": {
    "verb": "get", "resource": "workflow",
    "total": 5, "has_more": false,
    "suggestions": ["Run 'dtctl describe workflow <id>' for details"]
  }
}

Template Variables

In YAML/DQL files, use Go template syntax:

# workflow.yaml
title: "{{.environment}} Deployment"
owner: "{{.team}}"
trigger:
  schedule:
    cron: "{{.schedule | default "0 0 * * *"}}"
# query.dql
fetch logs
| filter host.name == "{{.host}}"
| filter timestamp > now() - {{.timerange | default "1h"}}

Execute with: dtctl apply -f file.yaml --set environment=prod --set team=platform

Copilot, Functions, Analyzers

# Copilot skills
dtctl get copilot-skills -o json --plain

# Functions
dtctl get functions -o json --plain
dtctl exec function <id-or-name> --payload '{"key":"value"}' --plain

# Analyzers
dtctl get analyzers -o json --plain
dtctl exec analyzer <id-or-name> --input '{"timeframe":"now-2h"}' --plain

Prefer get... -o json --plain first, then describe/exec with explicit IDs.

Authentication & Permissions

# Check current user and permissions
dtctl auth whoami --plain
dtctl auth can-i create workflows
dtctl auth can-i delete dashboards

Use can-i to verify permissions before attempting operations.

Quick Reference: DQL Queries

Required workflow for DQL data fetching:

  1. First consult references/DQL-reference.md
  2. Build/validate the query using the documented patterns
  3. Execute with dtctl query... -o json --plain (or dtctl wait query... when waiting for results)
# Inline query
dtctl query "fetch logs | filter status='ERROR' | limit 100" -o json --plain

# Query from file with variables
dtctl query -f query.dql --set host=h-123 --set timerange=2h -o json --plain

# Wait for query results
dtctl wait query "fetch spans | filter test_id='test-123'" --for=count=1 --timeout 5m

# Query with chart output
dtctl query "timeseries avg(dt.host.cpu.usage)" -o chart --plain

Dashboards

For full examples and field-level gotchas, see references/resources/dashboards.md.

Create/update: dtctl apply -f dashboard.yaml --plain. Export for reference: dtctl get dashboard <id> -o yaml --plain.

YAML skeleton

name: "Dashboard Name"
type: dashboard
content:
  annotations: []
  importedWithCode: false
  settings:
    defaultTimeframe:
      enabled: true
      value: { from: now()-2h, to: now() }
  layouts:
    "1":                    # string key, must match a tile key
      x: 0                 # 24-column grid (full=24, half=12, third=8)
      "y": 0               # MUST quote "y" to avoid YAML boolean parse
      w: 12
      h: 6
  tiles:
    "1":
      title: "Tile Title"
      type: data            # data | markdown
      query: |
        fetch logs | limit 10
      visualization: lineChart
      visualizationSettings:
        autoSelectVisualization: false
      davis: { enabled: false, davisVisualization: { isAvailable: true } }

Tile types & visualizations

  • type: data — DQL tile with query + visualization: singleValue, lineChart, areaChart, barChart, pieChart, table, honeycomb, scatterplot
  • type: markdown — static text via content field (supports markdown)

For detailed visualizationSettings (singleValue, charts, tables, thresholds, unit overrides), see references/resources/dashboards.md.

Gotchas

  • Always set davis.enabled: false on data tiles.
  • Use makeTimeseries for log/span time series; timeseries for metrics.
  • version field warning on create is benign.
  • No id field → creates new; with id field → updates existing.

Common Issues

Name resolution ambiguity:

  • If a name matches multiple resources, dtctl will fail
  • Solution: Use IDs instead of names
  • Find ID: dtctl get <resource> -o json --plain | jq -r '.[] | "\(.id) | \(.name)"'

Permission denied:

Context/safety blocks:

  • Destructive operations may be blocked by safety level
  • Switch context: dtctl config use-context <name>
  • Adjust safety level when creating context

Additional Resources

Safety Reminders

  • Use --plain for machine/AI consumption
  • Confirm context + safety level before destructive ops; prefer get/describe first
  • Use --mine flag to filter resources you own
  • For multi-tenant work, see references/config-management.md

平台分布

Codex

34.94%
按下载量换算507

Claude

30.95%
按下载量换算449

Cursor

20%
按下载量换算290

Gemini CLI

9.58%
按下载量换算139

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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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