Triage Methodology (Phase Sequencing & Decision Engine)

Orchestrate DFIR triage by sequencing evidence-analysis phases across disk, memory, network, and application artifacts.

1|Updated Apr 25, 2026
One-click install
npx skills add https://github.com/rjonhaas/SIFTics --skill triage-methodology-phase-sequencing-decision-engine
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Triage Methodology (Phase Sequencing & Decision Engine)
Source: https://github.com/rjonhaas/SIFTics/tree/main/skills/triage-methodology
Command: npx skills add https://github.com/rjonhaas/SIFTics --skill triage-methodology-phase-sequencing-decision-engine

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill resolves the hard operational problem of deciding which DFIR extraction and analysis phases to run, in what order, and why—based on what evidence is actually present—so triage can progress without manual orchestration.

Core Features & Use Cases

  • Phase sequencing & decisioning: Dynamically selects phases, enforces preconditions, and supports break-condition reordering when specific high-signal findings appear.
  • Idempotent, audit-friendly execution: Invokes fixed black-box phase scripts and relies on completion-signal files plus per-script audit logs for repeatable runs.
  • Cross-phase synthesis outputs: Drives generation of core consolidated artifacts such as IOC master, timelines, attack-path graphs, anomaly checks, and (optionally) CVE attribution.

Use Case: Given mixed Windows artifacts (KAPE zip, registry hives, EVTX, IIS logs) plus optional memory/pcap, the ISC uses this playbook to orchestrate evidence extraction, hunting, credential access, anti-forensics characterization, and then produces an investigation graph and anomaly summary for reporting.

Quick Start

Ask the orchestrating agent to invoke the triage-methodology skill at the start of Period 1, then have it sequence phases according to the Phase Catalog and Break Conditions based on evidence inventory in the case root.

Frequently Asked Questions about Triage Methodology (Phase Sequencing & Decision Engine)

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I sequence DFIR triage phases automatically across disk, memory, and network artifacts?

Automated DFIR triage sequencing works by dynamically selecting and ordering evidence-analysis phases based on the actual artifacts present in your case root. The engine enforces phase preconditions, checks completion signals, and reorders phases when high-signal findings trigger break conditions.

What is the best way to orchestrate incident response triage for mixed Windows KAPE collections?

Incident response triage for mixed KAPE collections is orchestrated by invoking fixed phase scripts against the case root directory. The methodology processes registry hives, EVTX, and IIS logs while enforcing preconditions and updating the Common Operating Picture progress throughout the investigation.

Can I use this triage methodology to generate consolidated IOC and attack path outputs?

Yes, this triage methodology drives the generation of consolidated cross-phase synthesis outputs including an IOC master list, unified timelines, attack-path graphs, anomaly detection summaries, and optional CVE attribution based on evidence extracted during the sequenced phases.

Does the DFIR phase sequencing engine support break-condition reordering when anomalies are detected?

Break-condition reordering is fully supported during DFIR phase sequencing. When specific high-signal findings appear during evidence extraction or hunting, the engine dynamically reorders subsequent analysis phases to prioritize the newly identified attack paths and anomalies.

How do I ensure repeatable and audit-friendly execution when running evidence extraction phases?

Repeatable and audit-friendly execution is ensured by invoking fixed black-box phase scripts that rely on completion-signal files and per-script audit logs. This idempotent approach allows you to rerun phases against the case root without manual orchestration or duplicate artifact generation.

What evidence types are supported for timeline analysis and anomaly detection in this triage workflow?

Timeline analysis and anomaly detection in this workflow support mixed evidence types including Windows KAPE collections, registry hives, EVTX logs, IIS logs, and optional memory images or PCAP files, enabling comprehensive cross-phase synthesis for incident reporting.