datadog-automation
Automate Datadog Monitoring Operations
Manual Datadog investigations and configuration changes consume operational time. This skill guides metrics, logs, monitors, dashboards, events, downtimes, hosts, and traces through Rube MCP.
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "datadog-automation" from https://skillstore.io/skills/sickn33-datadog-automation.md and its manifest at https://skillstore.io/api/skills/sickn33-datadog-automation/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "datadog-automation". Query average CPU usage for host web01 during the last hour.
Expected outcome:
- Average CPU usage was 64 percent, with a peak of 92 percent at 14:18 UTC.
- Usage exceeded 85 percent for seven minutes.
- No metric gaps appeared in the requested window.
Using "datadog-automation". Investigate checkout service errors from 09:00 to 09:30 UTC.
Expected outcome:
Error volume increased after 09:12 UTC and aligned with database timeout logs. Two traces show elevated database latency; deployment correlation remains unverified.
Using "datadog-automation". Schedule downtime for env:staging during tomorrow's maintenance.
Expected outcome:
Prepared a bounded staging downtime with the requested window and affected monitor scope. Creation is paused pending explicit confirmation.
Security Audit
Medium RiskAll 80 shell-backtick findings and eight reconnaissance findings are false positives caused by Markdown formatting, Datadog identifiers, and query examples. The Rube MCP URL is a confirmed low-severity external dependency. Semantic review found missing confirmation controls for alert suppression and irreversible dashboard deletion.
Confirmed security concerns (2)
Capability review items (1)
These are real local capabilities that may be expected for this skill, so they require review but are not counted as confirmed malicious behavior.
Risk Factors
⚙️ External commands (50)
🌐 Network access (1)
Share & cite this report
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https://skillstore.io/skills/sickn33-datadog-automation/audits/5?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown badge
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<iframe src="https://skillstore.io/embed/skills/sickn33-datadog-automation.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Academic citations (APA · BibTeX · CFF)
APA citation
sickn33. (2026). datadog-automation security audit report (audit version 5) [Author version unspecified]. Skillstore. https://skillstore.io/skills/sickn33-datadog-automation/audits/5BibTeX citation
@techreport{sickn33-sickn33-datadog-automation-2026,
author = {sickn33},
title = {datadog-automation security audit report (audit version 5)},
institution = {Skillstore},
year = {2026},
number = {5},
url = {https://skillstore.io/skills/sickn33-datadog-automation/audits/5},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "datadog-automation security audit report (audit version 5)"
version: "unspecified"
type: report
authors:
- name: "sickn33"
date-released: "2026-07-23"
url: "https://skillstore.io/skills/sickn33-datadog-automation/audits/5"
identifiers:
- type: other
value: "skillstore:sickn33-datadog-automation:audit:5"
description: "Skillstore immutable audit report identifier"
Skillstore Score
Why this score Evidence Confidence: HighWhat You Can Build
Investigate Production Incidents
Correlate service metrics, error logs, hosts, and traces within a defined incident window.
Maintain Alerting
Inspect monitor settings, prepare threshold changes, and schedule bounded maintenance downtimes.
Administer Observability Assets
Review dashboards, publish deployment events, and inventory reporting hosts across environments.
Try These Prompts
Search current Datadog tools, then query average CPU usage for {host} from {start_time} to {end_time}. Summarize peaks, averages, and data gaps.Investigate {service} errors between {start_time} and {end_time}. Search current tools, query relevant metrics and logs, then summarize likely causes with evidence.Draft a Datadog downtime for {scope} from {start_time} to {end_time}. Show affected monitors and request explicit confirmation before creating it.Analyze incident {incident_id} across {services}. Correlate metrics, logs, monitor states, hosts, and trace {trace_id}; rank hypotheses and identify missing evidence.Best Practices
- Search current Rube tool schemas before selecting tools or parameters.
- Use narrow time windows, explicit tag scopes, bounded result limits, and pagination.
- Require explicit confirmation before mutations, especially monitor muting, downtimes, dashboard changes, and deletions.
Avoid
- Do not assume documented tool names or parameter schemas remain current.
- Do not create broad or indefinite downtimes, mute monitors, or delete dashboards without approval.
- Do not expose sensitive log, trace, host, or monitor data beyond the requested scope.
Frequently Asked Questions
What connection does this skill require?
Does it require a Datadog API key in the prompt?
Can it change Datadog configuration?
Can it search historical logs and metrics?
How does it handle changing tool schemas?
What requires extra review?
Developer Details
Author
sickn33License
MIT
Skillstore revision
r2
Version notice
The author did not declare a version.
Repository
https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/datadog-automationRef
f9e2c34b4f19c7f3e6b0a1e93227b5f77cc12526
Maintenance freshness
7/26/2026
Usage
9 downloads · 97 views
File structure
📄 SKILL.md