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: BeyondCorp Zero Trust Assessment Agent
## Dependencies
| Library | Version | Purpose |
|---------|---------|---------|
| requests | >=2.28 | HTTP client for Google Cloud IAP and Access Context Manager APIs |
## CLI Usage
```bash
python scripts/agent.py \
--project my-gcp-project \
--output-dir /reports/ \
--output beyondcorp_report.json
```
## Functions
### `get_gcloud_token() -> str`
Runs `gcloud auth print-access-token` to obtain Bearer token.
### `list_iap_resources(project_id, token) -> list`
GET IAP tunnel destination groups for the project.
### `get_iap_settings(project_id, resource, token) -> dict`
GET IAP settings for a specific compute service resource.
### `list_access_levels(org_id, policy_name, token) -> list`
GET `/accessPolicies/{name}/accessLevels` from Access Context Manager.
### `audit_iap_bindings(project_id, token) -> list`
POST `getIamPolicy` and filters for IAP-related role bindings.
### `assess_zero_trust_posture(project_id, token) -> dict`
Evaluates IAP coverage, binding security, checks for allUsers exposure.
### `generate_report(project_id, token) -> dict`
Computes zero trust score (0-100) based on findings.
## Google Cloud APIs Used
| API | Endpoint |
|-----|----------|
| IAP | `iap.googleapis.com/v1/projects/{id}/iap_tunnel/...` |
| Access Context Manager | `accesscontextmanager.googleapis.com/v1/accessPolicies/...` |
| Resource Manager | `cloudresourcemanager.googleapis.com/v1/projects/{id}:getIamPolicy` |
## Output Schema
```json
{
"project": "my-project",
"posture": {"iap_resources": 5, "findings": []},
"zero_trust_score": 85
}
```