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sica-fondt/knowledge/cyber-skills/skills/executing-red-team-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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API Reference: Red Team Exercise Agent

Dependencies

Library Version Purpose
requests >=2.28 Download MITRE ATT&CK STIX data

CLI Usage

python scripts/agent.py \
  --actor "APT29" \
  --target "Retail Corp" \
  --objectives "Access POS data" "Exfiltrate cardholder data" \
  --output redteam_plan.json

Functions

load_attack_techniques(cache_file) -> dict

Downloads or loads cached MITRE ATT&CK Enterprise STIX bundle from GitHub (mitre/cti).

get_actor_techniques(attack_data, actor_name) -> list

Resolves intrusion-set by name, follows uses relationships to collect attack-pattern objects. Returns list of {id, name, tactic}.

build_operation_plan(actor_name, target, objectives, attack_data) -> RedTeamOperation

Creates a full operation plan with technique list mapped from the emulated actor's known TTPs.

log_technique_execution(op, technique_id, detected, notes)

Updates a technique's status to executed, records detection boolean and timestamp.

generate_detection_gap_report(op) -> dict

Compares executed vs. detected techniques. Outputs detection rate and missed technique recommendations.

Data Classes

TechniqueExecution

  • technique_id, technique_name, tactic, timestamp, status, detected, detection_time, notes

RedTeamOperation

  • operation_name, target_org, emulated_actor, start_date, objectives, techniques

MITRE ATT&CK Data Source

  • URL: https://raw.githubusercontent.com/mitre/cti/master/enterprise-attack/enterprise-attack.json
  • Format: STIX 2.0 bundle with intrusion-set, attack-pattern, and relationship objects
  • Locally cached as attack_enterprise.json after first download