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Siem setup

Skill bromso/metapowers/plugins/security/skills/siem-setup

A Claude Code plugin that adds an agentic skills framework, with MCP's and a meta prompting processes. Inspired by "Superpowers" & "Figma Console MCP", but not just for development or design; but for all aspect within the digital production cycle.

Install
npx -y skills add bromso/metapowers --skill siem-setup

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Design SIEM architecture, correlation rules, and dashboards

SKILL.md

5.2 KB, ~1.1k tokens by cl100k_base, as published. Nobody here has run it

SIEM Setup

Design SIEM architecture, correlation rules, and dashboards for "$ARGUMENTS". Select a SIEM platform, define data sources and ingestion, create detection rules, and build operational dashboards.

Prerequisites

Read .metapowers/security/$ARGUMENTS/00-govern.md. If this file does not exist, tell the user:

Phase 0 (Govern) has not been completed for "$ARGUMENTS". Run a Govern skill first (e.g., /security:security-policy $ARGUMENTS), or use --skip-checks to bypass.

If --skip-checks is present in $ARGUMENTS, skip this check and log to .metapowers/security/$ARGUMENTS/skip-log.md.

Process

  1. Select SIEM platform:

    • Evaluate platforms based on requirements (Splunk, Elastic SIEM, Microsoft Sentinel, Sumo Logic, Google Chronicle, IBM QRadar)
    • Consider: log volume capacity, query performance, built-in detection rules, integration ecosystem, cost model (per-GB vs. per-user vs. capacity-based)
    • Assess cloud-native vs. on-premises vs. hybrid deployment
    • Evaluate managed SIEM services vs. self-hosted for operational overhead
    • Document selection criteria and chosen platform with justification
  2. Define data sources and ingestion:

    • Map all data sources to be ingested (firewalls, endpoints, cloud providers, applications, identity providers, network devices)
    • Define ingestion methods per source (agent-based, syslog, API, cloud-native connectors)
    • Estimate daily log volume per source for capacity planning
    • Design data normalization and enrichment pipelines (common schema, geo-IP, threat intelligence)
    • Plan for data quality monitoring (detect ingestion gaps, parsing failures, delayed logs)
  3. Create correlation rules:

    • Brute force detection — multiple failed logins from same source within time window, followed by success
    • Lateral movement — authentication to multiple systems from a single compromised account within short period
    • Data exfiltration — unusual outbound data volume, connections to file sharing services, DNS tunneling indicators
    • Privilege escalation — new admin role assignment, sudo/runas usage outside normal patterns, group membership changes
    • Malware indicators — known IOC matches (IP, domain, file hash), process execution anomalies, persistence mechanisms
    • Policy violations — access from blocked geolocations, use of unauthorized services, data handling violations
    • Map each rule to MITRE ATT&CK techniques for coverage analysis
  4. Build dashboards:

    • Security posture — overall risk score, open alerts by severity, detection coverage, SLA compliance
    • Active incidents — current incident timeline, affected systems, response status, assigned responders
    • Compliance status — control effectiveness, audit findings, policy compliance metrics
    • Threat trends — attack frequency over time, top threat categories, geographic distribution
    • Data source health — ingestion volume by source, parsing success rate, latency metrics
    • Design dashboard hierarchy (executive summary, SOC analyst view, detailed investigation view)
  5. Define retention and storage tiers:

    • Hot tier (0-30 days) — full-speed search, real-time correlation, active investigation
    • Warm tier (30-90 days) — reduced search speed, historical investigation, trend analysis
    • Cold tier (90 days - 1 year) — archived, compliance retention, restored on-demand
    • Frozen/archive (1-7 years) — long-term compliance, minimal access, lowest cost
    • Define automated tier transition policies
    • Plan storage cost optimization (compression, deduplication, selective retention)
  6. Integrate with incident response:

    • Connect SIEM alerts to ticketing system (Jira, ServiceNow, PagerDuty)
    • Define automated ticket creation rules by alert severity
    • Enable SOAR (Security Orchestration, Automation, and Response) playbooks for common scenarios
    • Integrate threat intelligence feeds for IOC matching and alert enrichment
    • Design investigation workflows (alert -> triage -> investigate -> contain -> remediate -> close)
  7. Write the artifact to .metapowers/security/$ARGUMENTS/03-detect.md with heading:

    SIEM Architecture

    Include sections:

    • Platform Selection — chosen SIEM with evaluation criteria and justification
    • Data Sources — all sources with ingestion method and volume estimate
    • Correlation Rules — detection rules with MITRE ATT&CK mapping
    • Dashboards — dashboard inventory with audience and key metrics
    • Retention Strategy — storage tiers, retention periods, and cost optimization
    • Incident Response Integration — ticketing, SOAR, and threat intelligence feeds
    • Implementation Roadmap — phased rollout plan with milestones

Output

The SIEM architecture written to .metapowers/security/$ARGUMENTS/03-detect.md. Present a summary to the user highlighting:

  • Chosen SIEM platform and key decision factors
  • Data sources to be ingested and estimated daily volume
  • Correlation rules and MITRE ATT&CK coverage
  • Dashboard hierarchy and key operational views

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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