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