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
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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
```bash
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
```json
{
"Identity": {
"MFA enforced for all users": {"implemented": true, "maturity": "Advanced"},
"Phishing-resistant MFA (FIDO2/PIV)": {"implemented": false, "maturity": "Traditional"}
}
}
```
## Output Schema
```json
{
"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"}]
}
```