Datadog
A Claude skill from ashish7802/awesome-api-skills.
Install
$ agentstack add skill-ashish7802-awesome-api-skills-datadog ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-ashish7802-awesome-api-skills-datadog) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Datadog API Skill
Overview
The Datadog API allows you to submit metrics, events, and manage dashboards programmatically. This skill focuses on the @datadog/datadog-api-client library.
Installation
npm install @datadog/datadog-api-client
pip install datadog-api-clientAuthentication
Requires two headers: DD-API-KEY (for submitting data) and DD-APPLICATION-KEY (for reading data or managing configuration).
Core Concepts
- Metric: Time-series data points.
- Tags: Key:Value pairs attached to metrics (crucial for filtering).
- Monitor: An alert configured to trigger on thresholds.
Common Workflows
- Instantiate the API client.
- Construct a
Seriesobject with points and tags. - Call
metricsApi.submitMetrics.
Error Handling
Catch HTTP 403 (Invalid Keys) and HTTP 429. If submitting metrics fails, log the response.body.errors array.
Security
API keys have agent-level permissions. Application keys should be scoped strictly (e.g., dashboards_read).
Rate Limits
Submit Metrics endpoint allows 100 requests per 10 seconds. Use batching heavily.
Best Practices
Batch metrics before sending. Never submit a single data point per API call in high-throughput environments.
Troubleshooting
If metrics don't appear, ensure the UNIX timestamp attached to your points is in seconds, not milliseconds.
References
Why use this skill
Use this when your agent works with datadog — structured patterns beat pasted docs and prevent common hallucinations.
AI pitfalls
- Using outdated SDK or API versions from training data
- Inventing environment variable names
- Omitting error handling and retry logic
Production checklist
- [ ] Secrets in environment variables, not source code
- [ ] Error handling and logging in place
- [ ] Rate limits and timeouts configured
Related skills
- No graph relationships yet — see the knowledge graph in the docs site.
> Last Verified: 2026-07-02
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: ashish7802
- Source: ashish7802/awesome-api-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.