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sica-fondt/knowledge/cyber-skills/skills/performing-dark-web-monitoring-for-threats/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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Dark Web Monitoring Intelligence Report

Report Metadata

Field Value
Organization
Report Date YYYY-MM-DD
Classification TLP:AMBER
Monitoring Period YYYY-MM-DD to YYYY-MM-DD

Executive Summary

[Brief overview of dark web findings]

Credential Leak Findings

Breach Name Date Accounts Data Types Domain

Ransomware Group Mentions

Group Post Title Date Discovered Severity
CRITICAL

Dark Web Mentions

Source Context Date Severity

Recommendations

  1. Immediate: [Critical actions required]
  2. Short-term: [Actions within 48 hours]
  3. Long-term: [Ongoing monitoring improvements]