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Analyzes detection coverage using Sigma, Splunk, and Elastic rules. Use when checking coverage for techniques, tactics, threat actors, or generating Navigator layers from detections.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Generate MITRE ATT&CK Navigator layers for coverage visualization, threat actor mapping, and gap analysis. Produces JSON files compatible with the Navigator web app.
Create grouped detection narratives that tie individual rules into coherent threat stories. Covers Splunk Analytic Stories, Elastic detection rule groups, and Sentinel analytics grouping.
Execute and validate adversary emulation tests using Atomic Red Team. Covers standard atomics, custom atomics (T9999.XXX), deployment workflows, and detection validation.
Build and manage adversary emulation lab environments for any SIEM. Covers Splunk Attack Range, Elastic Security labs, Azure Sentinel labs, and Docker-based setups. Maps data source requirements to infrastructure components.
Expert CTI analyst specializing in detection engineering, MITRE ATT&CK mapping, behavioral analysis, and intelligence-driven detection creation. SIEM-agnostic methodology that works with Splunk SPL, KQL, Sigma, and Elastic. Use when analyzing threat reports, creating detections, mapping MITRE techniques, or developing behavioral analytics.
Create, deploy, and execute custom Atomic Red Team tests (T9999.XXX series) for detection validation. Covers YAML authoring, Ansible deployment, and manual alternatives.
| name | detection-coverage-analysis |
| description | Analyzes detection coverage using Sigma, Splunk, and Elastic rules. Use when checking coverage for techniques, tactics, threat actors, or generating Navigator layers from detections. |
analyze_coverage(source_type: "elastic")
Returns coverage % by tactic, top techniques, weak spots.
identify_gaps(threat_profile: "ransomware")
identify_gaps(threat_profile: "apt")
identify_gaps(threat_profile: "persistence")
Returns prioritized P0/P1/P2 gaps with recommendations.
suggest_detections(technique_id: "T1059.001")
Returns existing detections, data sources needed, detection ideas.
generate_navigator_layer(
name: "Elastic Initial Access",
source_type: "elastic",
tactic: "initial-access"
)
Returns ready-to-import Navigator JSON.
get_technique_ids(source_type: "elastic", tactic: "persistence")
Returns ~200 bytes instead of ~50KB.
| Profile | Key Techniques |
|---|---|
| ransomware | T1486, T1490, T1027, T1547 |
| apt | T1003, T1021, T1053, T1071 |
| initial-access | T1566, T1190, T1078 |
| persistence | T1547, T1543, T1053 |
| credential-access | T1003.*, T1555, T1552 |
| defense-evasion | T1027, T1070, T1055 |
# BAD - returns 200+ full detection objects
list_by_mitre_tactic(tactic: "execution")
# GOOD - returns stats only
analyze_coverage(source_type: "elastic")
| Old Approach | New Approach |
|---|---|
| list_by_mitre_tactic → ~50KB | analyze_coverage → ~2KB |
| Parse in context | Done server-side |
| 25x more tokens | Efficient |