A streamlined CLI tool for Openclaw Skills to manage Datadog infrastructure, metrics, and incidents via the REST API.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install datadog
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install datadog using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Datadog?
The Datadog skill is a robust integration designed for Openclaw Skills, enabling AI agents to interact directly with Datadog's extensive monitoring suite. Built with Python 3.10 and requiring zero external dependencies, it provides a lightweight yet powerful interface for managing monitors, dashboards, events, and logs. This tool empowers developers to build self-healing systems and automated observability pipelines by bridging the gap between AI-driven logic and real-time infrastructure data.
Datadog Use Cases
- Automating monitor creation and muting during CI/CD pipelines.
- Querying system metrics to inform AI-driven resource scaling.
- Fetching dashboard summaries for daily infrastructure health check-ins.
- Managing incident lifecycles and SLO tracking through agentic workflows.
- Searching through logs and events for rapid troubleshooting within Openclaw Skills.
How Datadog Works
- Set the required DD_API_KEY and DD_APP_KEY environment variables to authenticate with the Datadog platform.
- Invoke the datadog.py script using specific subcommands such as monitor-create or metrics-query.
- The script processes the input and communicates with the Datadog REST API using the Python standard library.
- The results are returned in a structured JSON format, which is easily parsed by Openclaw Skills.
- Developers can use the --human flag to generate readable text for debugging or manual reviews.
Datadog Setup
To begin using this skill within Openclaw Skills, configure your environment variables:
export DD_API_KEY="your_datadog_api_key"
export DD_APP_KEY="your_datadog_app_key"
No additional pip installations are required. You can test the setup by listing your current monitors:
python3 scripts/datadog.py monitors
Datadog Data Schema & Taxonomy
The skill utilizes Datadog's official API schemas. Below is how the primary data entities are organized:
| Entity | Key Attributes | Default Format |
|---|---|---|
| Monitors | ID, Name, Query, Tags, Status | JSON |
| Dashboards | ID, Title, Widgets, Description | JSON |
| Metrics | Query Results, Series, Unit | JSON |
| Logs | Message, Service, Tags, Timestamp | JSON |
| Incidents | ID, Status, Severity, Title | JSON |
Datadog Advanced Features
- Comprehensive monitor management including mute/unmute and update operations.
- Direct access to Synthetic tests and SLO management for high-availability tracking.
- Support for downtime scheduling to prevent alert fatigue during maintenance.
- Real-time log searching and event creation to facilitate automated incident response within Openclaw Skills.
SKILL.md
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