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sica-fondt/knowledge/cyber-skills/skills/conducting-internal-reconnaissance-with-bloodhound-ce/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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BloodHound CE Reconnaissance Report Template

Engagement Details

Field Value
Engagement Name
Target Domain(s)
Collection Date
BloodHound CE Version
SharpHound Version

Collection Summary

Metric Count
Users
Computers
Groups
GPOs
OUs
Domains
Trusts
Sessions

Attack Paths Identified

# Path Description Hops Start Node End Node Risk
1 Domain Admins
2 Domain Admins

High-Value Findings

Finding Count Details
Kerberoastable Users
AS-REP Roastable Users
Unconstrained Delegation
Users with DCSync Rights
Unsupported OS

Remediation Priority

# Finding Remediation Priority
1 Critical
2 High
3 Medium