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Complete skill folder anatomy across all cybersecurity skills: - scripts/agent.py: 80-150 line Python agents using real libraries (impacket, boto3, azure-mgmt-*, kubernetes, pefile, yara, scapy, shodan, stix2, etc.) - references/api-reference.md: real API documentation with method signatures - LICENSE: MIT license for all skill folders
1.7 KiB
1.7 KiB
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, andrelationshipobjects - Locally cached as
attack_enterprise.jsonafter first download