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/security-investigation

Drive a security investigation from a lead or hypothesis to an evidence-backed conclusion — correlate telemetry across sources, enrich with intel, reconstruct a timeline, scope impact, and reach a defensible verdict. Use for a deeper analytical investigation (beyond single-alert

From plugin
awesome-claude-security
11111 skills17 agents13 commands1 MCP

Claude Code

$ npx -y skills add jassics/awesome-claude-security --skill security-investigation --agent claude-code

SKILL.md

security-investigation.SKILL.md
name: security-investigation
description: >-
  Drive a security investigation from a lead or hypothesis to an evidence-backed
  conclusion — correlate telemetry across sources, enrich with intel, reconstruct a
  timeline, scope impact, and reach a defensible verdict. Use for a deeper analytical
  investigation (beyond single-alert triage), e.g. an escalated or complex case.

Goal

A coherent answer to "what actually happened, how far did it go, and what does it mean" — built from correlated evidence, with a clear verdict, scope, and recommended action.

How this differs from neighbors

  • **Alert triage** (`soc-siem:alert-triage`) — a verdict on *one* alert, fast and

repeatable. Escalates into an investigation.

  • **Investigation** (this) — pulls *many* threads (multiple alerts, logs, intel,

hosts, accounts) into one analytic picture.

  • **Incident response** (`dfir:incident-response`) — the response *action* once an

investigation confirms an incident. Hand off to it.

Steps

1. **Frame the question** — the lead/hypothesis and what a conclusion would look like (confirmed malicious? scope? root cause?). Investigations are hypothesis-driven. 2. **Collect & correlate** — gather relevant telemetry (EDR, auth, network, app, SIEM) across the time window; correlate by entity (host, user, process, IP) into a single picture. Baseline normal to separate signal from noise. 3. **Enrich** — add intel context (`threat-intelligence:ioc-enrichment`, `threat-actor-profiling`) and asset/user criticality; reconcile aliases. 4. **Reconstruct the timeline** — normalize timestamps (UTC); order attacker/entity actions into a chronology (lean on `dfir:forensic-triage` for host/forensic depth). 5. **Scope** — pivot to find all affected entities, lateral movement, and dwell time; map observed behavior to MITRE ATT&CK. 6. **Assess & conclude** — verdict (confirmed/suspected/benign), confidence, impact/scope, root cause, and intelligence gaps. Separate fact from assessment. 7. **Act** — escalate to `dfir:incident-response` if confirmed; turn findings into detections (`detection-engineering`); document either way.

Output

An investigation report: question · evidence (correlated, with sources) · timeline · ATT&CK mapping · scope/impact · verdict + confidence · root cause · recommended actions. Visualize timeline/link analysis with `security-diagramming`; write up with `security-reporting`.

Notes

Correlation is the core skill — a single source rarely tells the truth; pivot across entities and baseline normal before concluding. State confidence and separate fact from assessment from assumption. Know when to stop analyzing and **escalate**: once it's a confirmed incident, IR owns the response.

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@jassics
Ships withawesome-claude-security

A Claude Code plugin marketplace for the full cybersecurity & GenAI-security lifecycle — from recon and threat modeling to detection engineering, GRC, and CISO-level strategy. A pentester knows which OWASP test bends a broken-access-control endpoint.

11111 skills17 agents1 MCP
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Questions about security-investigation.

Which coding agents can use security-investigation?
security-investigation installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.