What kind of tool is this?

It is a skill that guides an AI agent through a threat-hunt workflow, from hypothesis to report.

It turns threat intelligence or ATT&CK gap analysis into testable hypotheses, runs queries across EDR and SIEM tools, and documents findings.

What do I need before using it?

An EDR platform with process and network telemetry, a SIEM with relevant logs, Sysmon with a comprehensive configuration, Windows Security Event Log forwarding, and threat intelligence feeds.

Building Threat Hunt Hypothesis Framework

SkillDocs & knowledge

This skill guides an AI agent through a threat-hunting workflow. It turns threat intelligence or ATT&CK gap analysis into testable hypotheses, runs detection queries across EDR and SIEM platforms, and documents findings in a standardized hunt report. Use it when planning or running a proactive threat hunt or scoping compromise from an intel- or anomaly-driven lead.

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Then ask your AI: use the Building Threat Hunt Hypothesis Framework skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

No other account needed.

Have an EDR platform with process and network telemetry, such as CrowdStrike, MDE, or SentinelOne.

Building Threat Hunt Hypothesis FrameworkStart free

What your AI can do with it

Formulate testable hypotheses from threat intelligence or ATT&CK gap analysis
Identify required log sources and telemetry for each hypothesis
Run detection queries against CrowdStrike, Defender, Splunk, Elastic, Sysmon
Analyze and validate results, distinguishing true positives from false positives
Correlate findings with attacker techniques and broader attack chains
Produce a standardized hunt report with recommended actions

Getting started

Have an EDR platform with process and network telemetry, such as CrowdStrike, MDE, or SentinelOne.
Have a SIEM with relevant log data ingested, such as Splunk, Elastic, or Sentinel.
Deploy Sysmon with a comprehensive configuration and enable Windows Security Event Log forwarding.
Provide threat intelligence feeds for IOC correlation.
Ask the agent to formulate a hypothesis and run the hunt workflow.

What this skill tells your AI

The instructions your AI receives, as published by mukul975/anthropic-cybersecurity-skills in skills/building-threat-hunt-hypothesis-framework/SKILL.md and read by ahel’s review.

When to Use

When proactively hunting for indicators of building threat hunt hypothesis framework in the environment
After threat intelligence indicates active campaigns using these techniques
During incident response to scope compromise related to these techniques
When EDR or SIEM alerts trigger on related indicators
During periodic security assessments and purple team exercises

Prerequisites

EDR platform with process and network telemetry (CrowdStrike, MDE, SentinelOne)
SIEM with relevant log data ingested (Splunk, Elastic, Sentinel)
Sysmon deployed with comprehensive configuration
Windows Security Event Log forwarding enabled
Threat intelligence feeds for IOC correlation

Workflow

Formulate Hypothesis: Define a testable hypothesis based on threat intelligence or ATT&CK gap analysis.
Identify Data Sources: Determine which logs and telemetry are needed to validate or refute the hypothesis.
Execute Queries: Run detection queries against SIEM and EDR platforms to collect relevant events.
Analyze Results: Examine query results for anomalies, correlating across multiple data sources.
Validate Findings: Distinguish true positives from false positives through contextual analysis.
Correlate Activity: Link findings to broader attack chains and threat actor TTPs.
Document and Report: Record findings, update detection rules, and recommend response actions.

Key Concepts

Concept	Description
TA0001	Initial Access
TA0003	Persistence
TA0008	Lateral Movement
TA0010	Exfiltration

Tools & Systems

Tool	Purpose
CrowdStrike Falcon	EDR telemetry and threat detection
Microsoft Defender for Endpoint	Advanced hunting with KQL
Splunk Enterprise	SIEM log analysis with SPL queries
Elastic Security	Detection rules and investigation timeline
Sysmon	Detailed Windows event monitoring
Velociraptor	Endpoint artifact collection and hunting
Sigma Rules	Cross-platform detection rule format

Common Scenarios

Scenario 1: Intelligence-driven hunt based on APT campaign report
Scenario 2: ATT&CK coverage gap analysis driving hypothesis creation
Scenario 3: Anomaly-driven hypothesis from UEBA alert investigation
Scenario 4: Situational awareness hunt based on industry sector threats

Output Format

Hunt ID: TH-BUILDI-[DATE]-[SEQ]
Technique: TA0001
Host: [Hostname]
User: [Account context]
Evidence: [Log entries, process trees, network data]
Risk Level: [Critical/High/Medium/Low]
Confidence: [High/Medium/Low]
Recommended Action: [Containment, investigation, monitoring]

Signals

GitHub stars: 34k
Forks: 4k
Last commit: Aug 2026

ahel review

K1info
remote-installer-piped-to-shell (in references/api-reference.md)

Automated review, not a security audit. Ruleset v1+k2.

Others that do the same job

building-threat-hunt-hypothesis-framework
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Questions

What kind of tool is this?: It is a skill that guides an AI agent through a threat-hunt workflow, from hypothesis to report.
What does it do?: It turns threat intelligence or ATT&CK gap analysis into testable hypotheses, runs queries across EDR and SIEM tools, and documents findings.
What do I need before using it?: An EDR platform with process and network telemetry, a SIEM with relevant logs, Sysmon with a comprehensive configuration, Windows Security Event Log forwarding, and threat intelligence feeds.

Advanced

Item type: skill
Key: building-threat-hunt-hypothesis-framework-mukul975
Source: github.com/mukul975/anthropic-cybersecurity-skills

github.com/mukul975/anthropic-cybersecurity-skills