mirror of https://github.com/SHOGGOTH-SECTOR/sica-fondt.git synced 2026-08-01 08:30:20 +00:00

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: 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"}]
}

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