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Datadog
by
aiwithabidi
· GitHub ↗
· v1.0.0
511
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Install in OpenClaw
/install datadog
Description
Datadog monitoring — manage monitors, dashboards, metrics, logs, events, and incidents via REST API
README (SKILL.md)
🐕 Datadog
Datadog monitoring — manage monitors, dashboards, metrics, logs, events, and incidents via REST API
Requirements
| Variable | Required | Description |
|---|---|---|
DD_API_KEY |
✅ | API key from app.datadoghq.com |
DD_APP_KEY |
✅ | Application key |
Quick Start
# List monitors
python3 {{baseDir}}/scripts/datadog.py monitors --query \x3Cvalue> --tags \x3Cvalue>
# Get monitor
python3 {{baseDir}}/scripts/datadog.py monitor-get id \x3Cvalue>
# Create monitor
python3 {{baseDir}}/scripts/datadog.py monitor-create --name \x3Cvalue> --type \x3Cvalue> --query \x3Cvalue> --message \x3Cvalue>
# Update monitor
python3 {{baseDir}}/scripts/datadog.py monitor-update id \x3Cvalue> --name \x3Cvalue> --query \x3Cvalue>
# Delete monitor
python3 {{baseDir}}/scripts/datadog.py monitor-delete id \x3Cvalue>
# Mute monitor
python3 {{baseDir}}/scripts/datadog.py monitor-mute id \x3Cvalue>
# List dashboards
python3 {{baseDir}}/scripts/datadog.py dashboards
# Get dashboard
python3 {{baseDir}}/scripts/datadog.py dashboard-get id \x3Cvalue>
All Commands
| Command | Description |
|---|---|
monitors |
List monitors |
monitor-get |
Get monitor |
monitor-create |
Create monitor |
monitor-update |
Update monitor |
monitor-delete |
Delete monitor |
monitor-mute |
Mute monitor |
dashboards |
List dashboards |
dashboard-get |
Get dashboard |
dashboard-create |
Create dashboard |
dashboard-delete |
Delete dashboard |
metrics-search |
Search metrics |
metrics-query |
Query metrics |
events-list |
List events |
event-create |
Create event |
logs-search |
Search logs |
incidents |
List incidents |
incident-get |
Get incident |
hosts |
List hosts |
downtimes |
List downtimes |
downtime-create |
Create downtime |
slos |
List SLOs |
synthetics |
List synthetic tests |
users |
List users |
Output Format
All commands output JSON by default. Add --human for readable formatted output.
python3 {{baseDir}}/scripts/datadog.py \x3Ccommand> --human
Script Reference
| Script | Description |
|---|---|
{{baseDir}}/scripts/datadog.py |
Main CLI — all commands in one tool |
Credits
Built by M. Abidi | agxntsix.ai YouTube | GitHub Part of the AgxntSix Skill Suite for OpenClaw agents.
📅 Need help setting up OpenClaw for your business? Book a free consultation
Usage Guidance
This skill appears to be a straightforward Datadog CLI and requests only the expected Datadog API and application keys. Before installing: (1) verify you trust the author/homepage (agxntsix.ai) and review the script if you have concerns; (2) check any ~/.openclaw/workspace/.env or WORKSPACE .env files — the script will look there for DD_API_KEY and DD_APP_KEY if they are not in the process environment; ensure those files do not contain unrelated secrets you don't want accessed; (3) be aware the script sends your DD keys in request headers to api.datadoghq.com (expected), so run it in a trusted environment and consider using scoped/limited keys; (4) note a minor implementation quirk: get_headers is defined twice (the second overrides the first) — this is a harmless bug but not a security issue. If you need higher assurance, open the included scripts/datadog.py and review it line-by-line or run it in an isolated environment and rotate keys after initial use.
Capability Analysis
Type: OpenClaw Skill
Name: datadog
Version: 1.0.0
The skill is classified as suspicious due to its credential handling mechanism in `scripts/datadog.py`. The `get_env` function attempts to retrieve `DD_API_KEY` and `DD_APP_KEY` not only from environment variables but also from a `.env` file located in the OpenClaw workspace (`~/.openclaw/workspace/.env` or `$WORKSPACE/.env`). While intended to facilitate legitimate API access, reading credentials from a local file introduces a vulnerability, as it expands the attack surface for credential theft if the `.env` file is not adequately secured or if the `WORKSPACE` environment variable can be manipulated by an attacker. No other clear malicious intent, such as unauthorized data exfiltration or arbitrary code execution, was identified.
Capability Assessment
Purpose & Capability
Name/description, required env vars (DD_API_KEY, DD_APP_KEY), and included CLI implemention (scripts/datadog.py) all match a Datadog REST-API client. Nothing requested by the skill appears unrelated to managing Datadog resources.
Instruction Scope
SKILL.md is a straightforward wrapper around scripts/datadog.py and only instructs running the included script. Implementation detail: get_env will read the environment variable from the process environment or fall back to a .env file at WORKSPACE or ~/.openclaw/workspace/.env if present — this behavior is not spelled out in SKILL.md and may read files the user did not expect. Also the code allows constructing requests to arbitrary URLs if a full URL is passed to req(path), though built-in commands use fixed Datadog paths.
Install Mechanism
There is no install/spec that downloads or executes remote artifacts; the skill is instruction-only plus a local script (safe from supply-chain download risks).
Credentials
Requested environment variables DD_API_KEY and DD_APP_KEY are exactly what a Datadog REST API client needs. No unrelated secrets, credentials, or broad config paths are required.
Persistence & Privilege
The skill does not request always:true or other privileged persistence. It does not modify other skill configurations and only reads env or .env for credentials.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install datadog - After installation, invoke the skill by name or use
/datadog - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of the Datadog skill.
- Manage monitors, dashboards, metrics, logs, events, and incidents via the Datadog REST API from the command line.
- Simple CLI tool with multiple commands for listing, creating, updating, and deleting Datadog resources.
- Requires only Python 3.10+; no external dependencies.
- Outputs JSON by default, with a human-readable option available.
- Environment variables DD_API_KEY and DD_APP_KEY required for authentication.
Metadata
Frequently Asked Questions
What is Datadog?
Datadog monitoring — manage monitors, dashboards, metrics, logs, events, and incidents via REST API. It is an AI Agent Skill for Claude Code / OpenClaw, with 511 downloads so far.
How do I install Datadog?
Run "/install datadog" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Datadog free?
Yes, Datadog is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Datadog support?
Datadog is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Datadog?
It is built and maintained by aiwithabidi (@aiwithabidi); the current version is v1.0.0.
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