Build a systematic threat-hunt workflow that turns threat intelligence and ATT&CK gap analysis into testable hypotheses, then executes and validates them via EDR/SIEM queries (CrowdStrike, Defender, S
Imported from mukul975/anthropic-cybersecurity-skills (skills/building-threat-hunt-hypothesis-framework/SKILL.md). Install upstream with npx skills add mukul975/anthropic-cybersecurity-skills --skill building-threat-hunt-hypothesis-framework. Copyright stays with the author (Apache-2.0).
Building Threat Hunt Hypothesis Framework
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
Copy one of these into your project. Installing also returns the manifest and these snippets.
yaml
targets:
- https://api.opensmartroute.ai/api/v1/registry/mukul975-anthropic-cybersecurity-skills-building-threat-f3c9ca/manifest # or paste the manifest below
Manifest
An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.
{
"ocm": "1",
"id": "mukul975-anthropic-cybersecurity-skills-building-threat-f3c9ca",
"kind": "skill",
"name": "building-threat-hunt-hypothesis-framework",
"description": "Build a systematic threat-hunt workflow that turns threat intelligence and ATT&CK gap analysis into testable hypotheses, then executes and validates them via EDR/SIEM queries (CrowdStrike, Defender, Splunk, Elastic, Sysmon, Velociraptor, Sigma) and documents findings in a standardized hunt report. Use when planning or running a proactive threat hunt or scoping compromise from an intel- or anomaly-driven lead.",
"publisher": "mukul975",
"version": "1.0.0",
"capabilities": {
"domains": [
"general"
],
"tags": [
"skill-md",
"threat-hunting",
"methodology",
"hypothesis",
"threat-intelligence",
"hunting-framework",
"proactive-detection",
"skills-sh"
],
"languages": [
"en"
]
},
"quality_prior": 0.6,
"examples": [
"Build a systematic threat-hunt workflow that turns threat intelligence and ATT&CK gap analysis into testable hypotheses, then executes and validates them via EDR/SIEM queries (CrowdStrike, Defender, Splunk, Elastic, Sysmon, Velociraptor, Sigma) and documents findings in a standardized hunt report. Use when planning or running a proactive threat hunt or scoping compromise from an intel- or anomaly-driven lead."
],
"primary": false,
"metadata": {
"source": {
"provider": "skills.sh",
"repository": "https://github.com/mukul975/anthropic-cybersecurity-skills",
"path": "skills/building-threat-hunt-hypothesis-framework/SKILL.md",
"ref": "HEAD",
"url": "https://github.com/mukul975/anthropic-cybersecurity-skills/blob/HEAD/skills/building-threat-hunt-hypothesis-framework/SKILL.md",
"key": "mukul975/anthropic-cybersecurity-skills/skills/building-threat-hunt-hypothesis-framework/SKILL.md"
},
"license": "Apache-2.0"
},
"instructions": "# Building Threat Hunt Hypothesis Framework\n\n## When to Use\n\n- When proactively hunting for indicators of building threat hunt hypothesis framework in the environment\n- After threat intelligence indicates active campaigns using these techniques\n- During incident response to scope compromise related to these techniques\n- When EDR or SIEM alerts trigger on related indicators\n- During periodic security assessments and purple team exercises\n\n## Prerequisites\n\n- EDR platform with process and network telemetry (CrowdStrike, MDE, SentinelOne)\n- SIEM with relevant log data ingested (Splunk, Elastic, S",
"cost": {
"context_tokens": 692
}
}
Fetch it by URL: GET /api/v1/registry/mukul975-anthropic-cybersecurity-skills-building-threat-f3c9ca/manifest?version=1.0.0
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