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sica-fondt/knowledge/cyber-skills/skills/analyzing-campaign-attribution-evidence/references/workflows.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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Campaign Attribution Analysis Workflows

Workflow 1: Collection and Analysis

[Intelligence Sources] --> [Data Collection] --> [Analysis] --> [Reporting]
        |                        |                   |               |
        v                        v                   v               v
  OSINT/HUMINT/SIGINT    Normalize/Enrich    Assess/Correlate  Disseminate

Steps:

  1. Planning: Define intelligence requirements and collection priorities
  2. Collection: Gather data from relevant sources
  3. Processing: Normalize data formats and filter noise
  4. Analysis: Apply analytical frameworks and correlate findings
  5. Production: Generate intelligence products and reports
  6. Dissemination: Share with stakeholders via appropriate channels
  7. Feedback: Collect consumer feedback to refine future collection

Workflow 2: Continuous Monitoring

[Watchlist] --> [Automated Monitoring] --> [Change Detection] --> [Alert/Update]

Steps:

  1. Define Watchlist: Identify indicators, actors, and topics to monitor
  2. Configure Monitoring: Set up automated collection from relevant sources
  3. Change Detection: Identify new or changed intelligence
  4. Assessment: Evaluate significance of changes
  5. Alerting: Notify stakeholders of significant intelligence updates
  6. Archive: Store intelligence for historical analysis and trending