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dtctldtctl 搜索

Agent Skill

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。

总安装

4,140

周安装

176

GitHub Stars

128

下载量

1,450
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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

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

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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