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agent-dd特工 DD

Agent Skill

agent-dd 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

315

周安装

13

GitHub Stars

1

下载量

103
CodexClaudeCursorGemini CLI

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:agent-dd(特工 DD)
来源仓库:https://github.com/shhac/agent-dd
仓库路径:skills/agent-dd
安装命令:
npx skills add https://github.com/shhac/agent-dd --skill agent-dd
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/shhac/agent-dd --skill agent-dd

简介

用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词或任务场景快速定位候选结果时使用。

  • 适用于 Datadog 监控、日志、指标和事件调查,支持告警状态检查和问题排查。
  • 通过 npx skills add 命令从 GitHub 安装,需确认权限范围和是否触发联网或命令执行。
  • 建议在安装前检查维护状态和 API 访问边界,避免越权操作。
  • agent-dd 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

agent-dd — Datadog Triage CLI

Investigate Datadog monitors, logs, metrics, traces, incidents, and SLOs. Triage and debugging workflows only — not full Datadog administration.

When to Use

  • Checking monitor/alert status, muting/unmuting monitors
  • Searching logs for errors, spikes, or anomalies
  • Querying metrics or investigating metric spikes
  • Searching traces for latency or errors
  • Managing incidents (list, create, update)
  • Checking SLO burn rate or error budget

Process

Investigation workflow

  1. Identify the signal: monitors list --status alert or incidents list --status active
  2. Scope the time window: --from now-1h (or broader)
  3. Find the hotspot: logs facets to see which services/hosts/statuses dominate
  4. Gather context: Pull logs, metrics, and traces for the affected service
  5. Correlate: Do log errors align with metric spikes? Do traces show latency?

Always read before acting

  • Check monitor state before muting: monitors get <id>
  • Check incident status before updating: incidents get <id>
  • Preview logs before drawing conclusions: logs search --query "..." --limit 10

Error handling

Errors are JSON to stderr with a classification:

  • fixable_by: agent — bad query syntax or wrong ID. Read the hint and retry.
  • fixable_by: human — credentials or permissions. Tell the user.
  • fixable_by: retry — transient error. Wait and retry once.

Quick Reference

# Explore (read-only)
agent-dd monitors list --status alert
agent-dd monitors get <id>
agent-dd logs search --query "service:web status:error" --from now-1h
agent-dd logs facets --query "status:error" --from now-1h
agent-dd metrics query --query "avg:system.cpu.user{host:web-1}" --from now-1h --to now
agent-dd traces search --service my-api --from now-30m
agent-dd incidents list --status active
agent-dd slo list
agent-dd hosts list --tag "env:production"

# Triage actions
agent-dd monitors mute <id> --reason "investigating" --end now+1h
agent-dd monitors unmute <id>
agent-dd incidents create --title "Elevated error rate" --severity SEV-3
agent-dd incidents update <id> --status stable

# Discovery
agent-dd metrics list --search "system.cpu"
agent-dd traces services [--env production] [--search checkout]
agent-dd slo history <id> --from now-7d --to now

Query Syntax

Log queries: service:web status:error @http.status_code:>500 "timeout" Metric queries: avg:system.cpu.user{host:web-1} by {service} Trace queries: same as log syntax, with @duration:>1000000000 (nanoseconds)

For full operator reference (wildcards, booleans, numeric comparisons, facets): see references/query-syntax.md

Key Concepts

  • Time formats: relative (now-15m, now-1h, now-7d), RFC3339, or unix epoch. Defaults: --from now-1h, --to now
  • Output: NDJSON for list/search commands, JSON for single items. --full for complete API response. --format json|yaml|jsonl to override
  • Monitor statuses: ok, alert, warn, no_data, unknown
  • Incident severities: SEV-1 (critical) through SEV-5 (informational)
  • Incident statuses: active, stable, resolved

Deeper Reference

Per-domain details with examples and field descriptions (only load when you need specifics not covered above):

agent-dd usage                    # top-level command overview
agent-dd logs usage               # log query examples, sort options, compact vs full
agent-dd monitors usage           # monitor statuses, muting best practices
agent-dd metrics usage            # metric query syntax, aggregation details
agent-dd traces usage             # trace search, duration units
agent-dd incidents usage          # severity guide, lifecycle
agent-dd slo usage                # error budgets, history interpretation

Organization Setup

If credentials aren't configured yet:

agent-dd org add <alias> --api-key <key> --app-key <key> [--site datadoghq.com]
agent-dd org test

Keys are in Datadog → Organization Settings → API Keys / Application Keys.

Environment variables also work: DD_API_KEY, DD_APP_KEY, DD_SITE.

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

35.15%
按下载量换算36

Claude

27.02%
按下载量换算28

Cursor

18.01%
按下载量换算19

Gemini CLI

10.02%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

未通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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