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sica-fondt/knowledge/cyber-skills/skills/implementing-velociraptor-for-ir-collection/assets/template.md
Claude 24f816b6a3
Consolidate 22 sibling repos into layered organism structure 
Place useful parts of the surrounding repos into sica-fondt by layer, per the
body model (Ada = membrane; brain/endocrine/capabilities/knowledge non-Ada):

- brain/        LLM reasoning + providers (dapr, hermes, MoMoA)
- capabilities/ REPRAG sidecars: hermes tools/skills, dapr tools, parallel
                dispatch, A51 channels, and the OSINT cluster
- knowledge/    LORAG corpus: 754 cyber-skills, agency personas, secure-coding,
                MITRE ATT&CK data
- reference/    defensive threat-reference (C3, shhbruh doc) + AdaYaml parser

License handling: AGPL sources (worldosint, advanced_evolution, mercury,
Reticulum) and GPL DeTTECT are SPEC-only clean-room/port descriptions — no
copyleft code copied. MIT/Apache/data parts copied as working trees.

Safety: shhbruh escape/persistence material and C3 covert-C2 kept as reference
only, not wired into the running organism. See CONSOLIDATION.md.

https://claude.ai/code/session_01UehUqEXXJJCsHoA4voCU5c
2026-06-10 06:53:01 +00:00

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Velociraptor IR Collection Report Template

Case Information

Field Details
Case ID
Velociraptor Server
Collection Start
Collection End
Lead Analyst
Endpoints Targeted
Endpoints Collected

Collection Scope

Target Endpoints

Hostname IP Address OS Client ID Status

Artifacts Collected

Artifact Description Endpoints Events
Windows.EventLogs.EvtxHunter Security event logs
Windows.Forensics.Prefetch Program execution
Windows.System.Pslist Running processes
Windows.Network.Netstat Network connections

Hunt Results

Hunt ID Description Endpoints Hit Matches

Key Findings

Finding 1

  • Host:
  • Artifact:
  • Description:
  • Severity:
  • Evidence:

IOC Matches

IOC Type Value Hosts Matched Details

Collection Issues

Host Issue Resolution

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