Map natural language queries to digital forensics and incident response frameworks.
npx skills add https://github.com/Fortemi/HotM --skill forensics-quickref
Please help me install this Agent Skill. Skill: forensics-quickref Source: https://github.com/Fortemi/HotM/tree/main/.agents/skills/forensics-quickref Command: npx skills add https://github.com/Fortemi/HotM --skill forensics-quickref
This skill provides a structured mental model and discovery interface for digital forensics and incident response, preventing information overload by mapping user needs to specific forensic capabilities.
Use the forensics-quickref skill to discover the appropriate tools for performing a forensic triage on a compromised Linux host.
High-intent search queries and answers about installing and using this skill.
Digital forensics framework discovery maps natural language queries to specific incident response skills for triage, evidence acquisition, and timeline reconstruction. It standardizes investigation workflows by aligning steps with RFC 3227 for consistent evidence preservation.
Mapping incident response needs to threat hunting capabilities requires a discovery interface that translates natural language queries into specific forensic capability domains. This prevents information overload by matching user needs to specialized skills for IOC extraction and log correlation.
Forensic triage on a compromised Linux host starts with identifying the correct tools for memory forensics, log correlation, or IOC extraction. A structured discovery interface maps the specific incident context to appropriate forensic skills for standardized investigation.
Yes, the incident response approach aligns investigation steps with RFC 3227 to ensure consistent evidence preservation. This standardization facilitates proper timeline reconstruction and structured evidence acquisition during potential breach investigations.
You need a digital forensics discovery interface when investigating a potential breach and facing information overload. It maps your specific incident context to specialized skills, preventing ad-hoc tool selection and enabling standardized workflows for memory forensics and timeline reconstruction.
Yes, you can use natural language queries to find specialized skills for evidence acquisition and timeline reconstruction. The framework discovery interface maps your queries directly to specific forensic capability domains, streamlining the incident response workflow.
wgpsecTriage and analyze disk images, memory dumps, PCAP captures, and stego media.
jaskaranhundalReconstruct digital forensics timelines and extract Indicators of Compromise.
kiwamizamuraiAnalyze PCAP captures for data exfiltration and protocol misuse.
Dhruvipatel0514Analyzes IPs, domains, and hashes to produce threat scores and verdicts.
