opensearch-detection-engineer
FeaturedOpenSearch SIEM detection: SIGMA, query DSL, MITRE ATT&CK mapping, anomaly/correlation rules, alert validation, SOC escalation.
Install
Quality Score: 96/100
Skill Content
Details
- Author
- notque
- Repository
- notque/vexjoy-agent
- Created
- 6 months ago
- Last Updated
- yesterday
- Language
- Python
- License
- MIT
Similar Skills
Semantically similar based on skill content — not just same category
defense-detection-sigma
Write portable detections as Sigma rules and map them to MITRE ATT&CK, then convert to your SIEM. Load for blue-team/detection-engineering tasks: "write a detection", "sigma rule", "alert on", turning an offensive technique or an incident into a repeatable detection.
detection-engineering
Design, write, test, tune, deploy, and review detection rules through their full lifecycle, with Sigma as the canonical rule format and conversion to Splunk SPL, Sentinel/Defender KQL, Elastic EQL/ES|QL, or Chronicle YARA-L. Use it whenever someone wants to "write a detection", "build a rule for", "alert on", "turn this report/hunt/purple-team gap into a detection", "review this Sigma rule", "why is this rule so noisy", "tune the false positives", "map this rule to ATT&CK", or pastes a Sigma/KQL/SPL rule and asks whether it is any good. Also use it when a threat report, an incident lesson, or a hunt result implies a detection that nobody has written yet, even if the user only asks "how would we catch this next time".
detection-engineering
Detection engineering skill for writing, testing, and tuning Sigma, YARA, YARA-L, Suricata, Snort, Zeek, KQL, SPL, EQL, Chronicle, and Elastic detection rules. Covers ATT&CK coverage mapping, telemetry gap analysis, false-positive tuning, detection-as-code pipelines, and validation with Atomic Red Team and Caldera. Use to design durable detections backed by tests.