mirror of https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git synced 2026-06-11 21:54:56 +03:00

Files

T

mukul975 27c6414ca5 Add folder anatomy (scripts/agent.py + references/api-reference.md) for 648 cybersecurity skills

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

2026-03-10 21:02:12 +01:00

1.9 KiB

Raw Blame History

API Reference: CISA Zero Trust Maturity Model Assessment Agent

Dependencies

Library	Version	Purpose
(stdlib only)	Python 3.8+	JSON processing, assessment logic

CLI Usage

python scripts/agent.py \
  --data /assessments/zt_responses.json \
  --output-dir /reports/ \
  --output ztmm_report.json

Functions

`assess_control(control, implemented, maturity) -> dict`

Scores a single control: 0 (Traditional) to 3 (Optimal).

`assess_pillar(pillar, responses) -> dict`

Evaluates all controls within a CISA ZT pillar. Returns score, percentage, and maturity level.

`compute_overall_maturity(pillar_results) -> dict`

Aggregates pillar scores into overall maturity: Traditional/Initial/Advanced/Optimal.

`generate_recommendations(pillar_results) -> list`

Identifies unimplemented controls, prioritizes by pillar weakness.

`generate_report(data_path) -> dict`

Full assessment pipeline: load data, assess 5 pillars, compute maturity, generate recommendations.

CISA ZT Pillars

Pillar	Controls Assessed
Identity	MFA, phishing-resistant MFA, JIT access, PAM
Devices	Inventory, EDR, health attestation, posture
Networks	Microsegmentation, encrypted DNS, SDP
Applications	Inventory, access controls, API security
Data	Classification, DLP, encryption at rest

Input Data Format

{
  "Identity": {
    "MFA enforced for all users": {"implemented": true, "maturity": "Advanced"},
    "Phishing-resistant MFA (FIDO2/PIV)": {"implemented": false, "maturity": "Traditional"}
  }
}

Output Schema

{
  "overall_maturity": {"percentage": 52.3, "maturity_level": "Advanced"},
  "pillars": [{"pillar": "Identity", "percentage": 66.7, "maturity_level": "Advanced"}],
  "recommendations": [{"pillar": "Devices", "control": "EDR deployed", "priority": "HIGH"}]
}

1.9 KiB Raw Blame History