mirror of
https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git
synced 2026-07-14 11:40:15 +03:00
c21af3347e
- Add scripts/agent.py and references/api-reference.md to all remaining skills - Update all 648 LICENSE files: copyright now reads 'Mahipal' - Add implementing-security-monitoring-with-datadog (new skill with full anatomy) - All 649 skills now have: SKILL.md, LICENSE, scripts/agent.py, references/api-reference.md
1.4 KiB
1.4 KiB
API Reference — Performing Physical Intrusion Assessment
Libraries Used
- csv: Generate and parse assessment checklists
- pathlib: File operations
CLI Interface
python agent.py checklist [--categories perimeter access_control server_room social_engineering] [--output checklist.csv]
python agent.py score --csv completed_assessment.csv
python agent.py report --csv completed_assessment.csv
Core Functions
generate_checklist(categories, output_file) — Create assessment template
22 checks across 4 categories with severity ratings. Outputs to CSV.
score_assessment(results_csv) — Calculate compliance score
Groups by category and severity. Identifies critical failures.
generate_report(results_csv) — Executive summary with risk level
Assessment Categories (22 checks)
| Category | Checks | Focus |
|---|---|---|
| Perimeter Security | 5 | Fencing, CCTV, lighting, barriers |
| Access Control | 6 | Badge access, tailgating, visitor policy |
| Server Room | 6 | MFA, CCTV, environmental, access logs |
| Social Engineering | 5 | Visitor challenge, clean desk, shredding |
Risk Classification
- CRITICAL: Critical control failures found
- HIGH: >5 failed checks
- MEDIUM: 1-5 failed checks
- LOW: All checks passed
Dependencies
No external packages — Python standard library only.