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sica-fondt/knowledge/cyber-skills/skills/performing-ransomware-tabletop-exercise/references/api-reference.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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Ransomware Tabletop Exercise - API Reference

Scenario Framework

Phase Structure

Each phase contains:

Field Type Description
phase string Phase name: detection, containment, escalation, eradication, recovery
inject string Narrative scenario inject read to participants
expected_actions list Correct response actions for scoring
time_pressure_minutes int Simulated time window for decisions

Exercise Variants

  • standard - Normal time pressure, full scenario
  • accelerated - Half time windows, tests rapid decision-making

Scoring Algorithm

phase_score = (correct_actions / expected_actions) * 100
overall_score = mean(all_phase_scores)

Rating thresholds:

  • = 90%: Excellent

  • = 70%: Good

  • = 50%: Needs Improvement

  • < 50%: Critical Gaps

Expected Actions by Phase

Detection

  • isolate_host - Quarantine affected endpoint
  • preserve_evidence - Capture memory dump and disk image
  • notify_ir_lead - Escalate to incident response lead

Containment

  • network_segmentation - Restrict lateral movement paths
  • disable_compromised_accounts - Lock affected credentials
  • block_c2_domains - Update firewall/proxy deny lists
  • preserve_shadow_copies - Protect backup snapshots

Escalation

  • notify_executive_team - Brief C-suite leadership
  • engage_legal_counsel - Activate legal response team
  • contact_law_enforcement - Report to FBI IC3 or local CIRT
  • activate_crisis_comms - Prepare stakeholder communications

Eradication

  • remove_persistence - Clean scheduled tasks, registry keys, WMI subscriptions
  • reset_all_credentials - Reset passwords domain-wide
  • rebuild_compromised_hosts - Reimage from gold images
  • reset_krbtgt_twice - Invalidate all Kerberos tickets

Recovery

  • restore_from_backup - Use verified clean backup sets
  • validate_restored_systems - Run integrity checks
  • monitor_for_reinfection - Enhanced monitoring for 72+ hours
  • staged_network_reconnection - Reconnect systems in phases

After-Action Report Schema

{
  "report": "ransomware_tabletop_aar",
  "evaluation": {
    "overall_score_pct": 78.5,
    "rating": "good",
    "phase_scores": [{"phase": "detection", "score_pct": 66.7}]
  },
  "recommendations": [{"phase": "detection", "gap": "Missed: preserve_evidence"}]
}

CLI Usage

python agent.py --mode demo --output aar.json
python agent.py --mode generate --variant accelerated --output scenario.json
python agent.py --mode score --responses-file responses.json --output aar.json