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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
1.5 KiB
1.5 KiB
API Reference: Azure AD Conditional Access Audit Agent
Dependencies
| Library | Version | Purpose |
|---|---|---|
| requests | >=2.28 | HTTP client for Microsoft Graph API |
CLI Usage
python scripts/agent.py \
--tenant-id TENANT_ID --client-id CLIENT_ID --client-secret SECRET \
--output-dir /reports/
Functions
ConditionalAccessClient(tenant_id, client_id, client_secret)
Authenticates via OAuth2 client credentials to Microsoft Graph.
list_policies() -> list
GET /identity/conditionalAccess/policies - All conditional access policies.
list_named_locations() -> list
GET /identity/conditionalAccess/namedLocations - Named locations for geo-fencing.
audit_policy(policy) -> dict
Checks for: MFA requirement, enabled state, app coverage, grant controls.
check_baseline_policies(policies) -> list
Verifies essential baselines: MFA for admins, block legacy auth, require compliant devices.
generate_report(client) -> dict
Full audit with per-policy findings and baseline gap analysis.
Microsoft Graph Endpoints
| Endpoint | Purpose |
|---|---|
GET /identity/conditionalAccess/policies |
List CA policies |
GET /identity/conditionalAccess/namedLocations |
Named locations |
Output Schema
{
"total_policies": 15, "enabled_policies": 12,
"summary": {"high_risk": 3, "missing_baselines": 1},
"baseline_checks": [{"baseline": "Require MFA for admins", "implemented": true}]
}