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kaandgnshkaandgnsh/Claude-Blue/skills/soc-operations/alert-triage/SKILL.md

alert-triage

Skill0 starsChanged 14 days agoMITView on GitHub

Triage a SIEM, EDR, email or cloud security alert to a true-positive, benign-true-positive or false-positive verdict with evidence, severity and next action. Use when an analyst asks "is this alert real?", needs to work an alert from a queue, or must decide whether to escalate.

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1 rule. 0 are common, 0 are distinctive, and 1 is very specific to this project.

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    Common

    Most of the 3 edited versions we read keep these.

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    Distinctive

    This author's own choices. Worth a look.

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    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Read-only pivots only during triage.

    line 72

“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Alert Triage

Turn one alert into a defensible verdict in minutes, not a guess. The goal is a decision (close, tune, escalate, contain), not an essay.

Inputs

  • Alert payload: rule name/ID, product, raw event(s), entity fields (host, user, IP, hash, URL, process, cloud principal), first/last seen, count.
  • Rule logic or documentation (what the rule actually matches — read it, do not infer from the title).
  • Access to the SIEM/EDR to pivot ±24h around the event.

Workflow

  1. Read the rule, then the raw event. Confirm which field values made it fire. Many "malicious PowerShell" alerts are a single substring match.
  2. Identify entities and their context (asset criticality, owner, user role, is the host a server/DC/jump box, is the account privileged or a service account).
  3. Answer the five triage questions with evidence:
    • What executed / authenticated / connected? (exact command line, parent, signer, hash, logon type)
    • Is this normal for this entity? (has this host/user done this in the last 30 days?)
    • Is there a precursor? (phish delivery, new logon, download, exploit attempt in prior 1–24h)
    • Is there follow-on activity? (child processes, network connections, new persistence, lateral logons)
    • Is there a benign explanation with proof? (change ticket, IT tooling, scanner IP, pentest scope)
  4. Pivot efficiently (examples; adapt to your schema):
    • Splunk: index=edr host="HOST" earliest=-24h | stats count values(CommandLine) by ParentImage, Image | sort -count
    • Sentinel: DeviceProcessEvents | where DeviceName =~ "HOST" and Timestamp > ago(24h) | summarize count(), make_set(ProcessCommandLine, 20) by InitiatingProcessFileName, FileName
    • Prevalence of a hash: DeviceFileEvents | where SHA256 == "<hash>" | summarize dcount(DeviceId), min(Timestamp)
  5. Enrich indicators (hash/IP/domain reputation, first-seen, WHOIS age, passive DNS). Reputation is supporting evidence only; a clean VT score does not clear a novel binary.
  6. Assign verdict and severity using the matrix below and record it.
  7. Act: close with reason code, open tuning request, or escalate with a handoff summary. If containment is warranted, follow host-isolation / containment-plan with approval.

Verdict definitions

VerdictMeaningRequired evidence
True positive (TP)Malicious or unauthorized activityBehavior + context showing intent/unauthorized
Benign true positive (BTP)Rule worked, activity authorizedTicket, owner confirmation, or known tooling
False positive (FP)Rule logic matched the wrong thingExplanation of the mismatch → tuning request
UndeterminedInsufficient telemetryList the missing data; escalate, don't close

Severity = impact of the entity × confidence × stage. A confirmed TP on a domain controller or with credential access is high/critical regardless of rule severity.

Common traps

  • Closing because "the user said it was them" without verifying the source (MFA prompt, device ID, IP).
  • Treating absence of EDR telemetry as absence of activity (check sensor health and last check-in).
  • Trusting the alert's timestamp timezone; normalize to UTC.
  • Auto-closing duplicates without checking whether the entity set changed.

Output template

Alert: <rule> (<id>)  Product: <src>  Time (UTC): <t>
Entities: host=<> user=<> ip=<> hash=<>
Verdict: TP | BTP | FP | Undetermined   Confidence: high/med/low   Severity: <>
Evidence:
 - <query/link> → <finding>
Benign explanation checked: <ticket/owner/none>
Action: close (reason) | tune (request id) | escalate to <tier/IR> | contain (approval: <>)
Open questions: <>

Safety

Read-only pivots only during triage. Do not run the suspected file, detonate on a production host, or contact a suspected attacker-controlled endpoint. Containment requires the approval path in host-isolation.

Related skills

alert-tuning, escalation-decision, edr-alert-investigation, process-tree-analysis, ioc-assessment, case-documentation

References

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