claudecodex

pup

Datadog API CLI with 49 command groups, 300+ subcommands. Skills and domain agents for monitoring, logs, APM, security, and infrastructure.

127 on GitHubby Datadogv2.4.5Apache-2.0updated yesterdaybackend
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Plugin pup from marketplace otelyssey in using-system/otelyssey. Commands read from the repo's manifest — today.

What it installs

Skills (13)

  • pup

    Datadog API CLI with 49 command groups, 300+ subcommands. Skills and domain agents for monitoring, logs, APM, security, and infrastructure.

  • dd-apm

    APM - traces, services, dependencies, performance analysis.

  • dd-code-generation

    Use pup CLI for immediate Datadog operations or generate code for integration into applications

  • dd-debugger

    Live Debugger - inspect runtime argument/variable values in production by placing log probes on methods. Use when asked what values a function receives, what parameters look like at runtime, or to capture live data from running services without redeploying.

  • dd-docs

    Datadog docs lookup using docs.datadoghq.com/llms.txt and linked Markdown pages.

  • dd-file-issue

    File GitHub issues to the right repository (pup CLI or plugin)

  • dd-idp

    Find, filter, count, and connect software, teams, engineering work and delivery, infrastructure, and operational or security records through Pup's read-only Datadog entity graph. Use for inventory, ownership, dependencies, and status questions across connected integrations and custom entities. Disco

  • dd-logs

    Log management - search, pipelines, archives, and cost control.

  • dd-monitors

    Monitor management - create, update, mute, and alerting best practices.

  • dd-pup

    Datadog CLI (pup). OAuth2 auth with token refresh.

  • dd-symdb

    Symbol Database - search service symbols, find probe-able methods.

  • dd-triage-flaky-test

    Load when investigating a specific flaky test. Gets history, failure pattern, and category, then recommends fix, quarantine, or escalate.

  • dd-unblock-pr

    Load when investigating a failing PR CI pipeline or checking PR health. Attributes each CI failure as flaky, infra, or regression, proposes a targeted action, and reports code coverage.

Subagents (51)

  • agentless-scanning

    Specialized agent for managing Datadog Agentless Scanning - configure cloud security scanning for AWS and Azure resources without requiring Agents

  • api-management

    Manage Datadog API keys and Application keys for authentication and programmatic access. Handles creation, listing, updating, and deletion of keys.

  • apm-configuration

    Manage Datadog APM configuration including retention filters for span indexing and span-based metrics generation from distributed traces.

  • app-builder

    Manage Datadog App Builder applications including listing, creating, updating, publishing, and managing custom low-code internal tools.

  • application-security

    Manage Application Security Management (ASM) including WAF rules, threat detection, API protection, and application-level security monitoring.

  • audience-management

    Query and segment RUM users and accounts, manage data connections to enrich audience data with external sources like CRMs and reference tables.

  • audit-logs

    Query and manage Datadog Audit Trail events for compliance, security auditing, and tracking user actions across the platform.

  • aws-integration

    Configure and manage AWS integration for monitoring, log collection, and resource tracking across AWS accounts and services.

  • azure-integration

    Configure and manage Azure integration for monitoring, log collection, and resource tracking across Azure subscriptions and services.

  • case-management

    Manage Datadog Case Management — cases, projects, comments, assignments, and project workflows.

  • cicd

    Manage CI/CD Visibility including test monitoring, pipeline analytics, DORA metrics, and deployment gates.

  • cloud-cost

    Manage Datadog Cloud Cost Management including multi-cloud configuration, cost allocation rules, custom costs, and budget tracking.

  • cloud-workload-security

    Manage Cloud Security Management (CSM) Threats and Workload Protection including agent rules, policies, and deployment monitoring.

  • container-monitoring

    Monitor Kubernetes and containerized environments including Docker, pods, deployments, and cluster health metrics. For infrastructure host inventory, use the Infrastructure agent.

  • dashboards

    Manage Datadog dashboards including listing, viewing, creating, updating, and deleting dashboards with their widgets and configurations.

  • data-deletion

    Specialized agent for managing GDPR and data privacy compliance through targeted deletion of logs data based on queries and timeframes.

  • data-governance

    Comprehensive agent for managing Datadog data governance including access control (datasets, IP/domain allowlists, restriction policies), data enrichment (reference tables), and data protection (sensitive data scanner).

  • database-monitoring

    Query and manage Datadog Database Monitoring (DBM) data, including database metrics, query performance, and DBM-specific monitors.

  • error-tracking

    Manage Datadog Error Tracking including issue search, triage, assignment, and lifecycle management.

  • events

    Manage Datadog events including event submission, search, filtering, and custom event stream management.

  • fleet-automation

    Manage Datadog Agent fleet automation including agent discovery, configuration deployments, package upgrades, and scheduled maintenance windows.

  • gcp-integration

    Configure and manage GCP integration for monitoring, log collection, and resource tracking across Google Cloud projects and services.

  • governance

    Governance Console insights, controls, detections, mitigations, limits, and best practices.

  • incident-response

    Complete incident response workflow - on-call management, incident tracking, and coordination for service reliability

  • infrastructure

    List and manage infrastructure hosts across all environments (VMs, cloud instances, physical servers, container hosts). For container performance monitoring, use the Container Monitoring agent.

  • kafka

    Inspect Kafka topics/brokers, schema registry, client configs, and on-demand read of Kafka messages. Auto-discovers cluster ID, bootstrap servers, latest produced offset, and consumer-group offsets/lag from Datadog metrics before invoking reads.

  • log-configuration

    Manage Datadog log configuration including archives, pipelines, indexes, and custom destinations for log forwarding to external systems.

  • logs

    Search and analyze Datadog logs with flexible queries and time ranges.

  • metrics

    Query, submit, and manage Datadog metrics. Handles time-series data retrieval and custom metric submission.

  • monitoring-alerting

    Comprehensive monitoring and alerting management including monitors, templates, notification routing, and downtimes. Complete lifecycle from creation to alert delivery to maintenance windows.

  • network-performance

    Manage Datadog Network Performance Monitoring (NPM) and Network Device Monitoring (NDM) including connection analytics, DNS traffic, and device monitoring.

  • notebooks

    Manage Datadog Notebooks for collaborative investigation, documentation, and reporting with mixed content cells.

  • observability-pipelines

    Specialized agent for managing Datadog Observability Pipelines - configure data collection, processing, and routing pipelines within your infrastructure

  • organization-management

    Comprehensive organization management including configurations, connections, roles, and permissions.

  • powerpacks

    Manage Datadog Powerpacks for creating and sharing reusable dashboard widget templates across teams and organizations.

  • rum-metrics-retention

    Manage RUM-based metrics and retention filters for Real User Monitoring data. Create custom metrics from RUM events and control data retention with sampling filters.

  • rum

    Query Real User Monitoring events and analytics.

  • saml-configuration

    Configure SAML Single Sign-On (SSO) by uploading Identity Provider (IdP) metadata for secure authentication integration.

  • scorecards

    Manage Datadog Service Scorecards including rules, outcomes, and service evaluation for organizational best practices and compliance tracking.

  • security-posture-management

    Manage Cloud Security Posture Management (CSPM), vulnerability management, security findings, SBOM analysis, and CSM coverage monitoring.

  • security

    Query security monitoring signals and manage security rules.

  • service-catalog

    Explore and manage Datadog service and software catalog data with verified Pup commands, including ownership, definitions, kinds, and relationships.

  • slos

    Manage Service Level Objectives including listing, viewing, and deleting SLOs.

  • spark-pod-autosizing

    Optimize Apache Spark workload configurations with AI-powered resource recommendations based on historical usage patterns. Get rightsized CPU, memory, and storage recommendations for Spark drivers and executors.

  • static-analysis

    Manage Static Code Analysis (SAST) and Software Composition Analysis (SCA) for code quality, security vulnerabilities, and dependency management.

  • synthetics

    Manage synthetic tests including listing and viewing test configurations.

  • third-party-integrations

    Manage third-party integrations including PagerDuty, Slack, OpsGenie, Microsoft Teams, Fastly, Confluent Cloud, Cloudflare, and Okta account configurations.

  • traces

    Query APM traces and spans for distributed tracing analysis.

  • usage-metering

    Query Datadog usage and billing across all products including infrastructure hosts, logs, metrics, APM, synthetics, and view cost attribution by tags.

  • user-access-management

    Comprehensive user and team management including users, service accounts, teams, memberships, SCIM, authentication mappings, and permissions.

  • workflows

    Manage Datadog Workflow Automation including workflow creation, execution, monitoring, and connection management.

View source on GitHub

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