mirror of
https://github.com/SHOGGOTH-SECTOR/sica-fondt.git
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Place useful parts of the surrounding repos into sica-fondt by layer, per the
body model (Ada = membrane; brain/endocrine/capabilities/knowledge non-Ada):
- brain/ LLM reasoning + providers (dapr, hermes, MoMoA)
- capabilities/ REPRAG sidecars: hermes tools/skills, dapr tools, parallel
dispatch, A51 channels, and the OSINT cluster
- knowledge/ LORAG corpus: 754 cyber-skills, agency personas, secure-coding,
MITRE ATT&CK data
- reference/ defensive threat-reference (C3, shhbruh doc) + AdaYaml parser
License handling: AGPL sources (worldosint, advanced_evolution, mercury,
Reticulum) and GPL DeTTECT are SPEC-only clean-room/port descriptions — no
copyleft code copied. MIT/Apache/data parts copied as working trees.
Safety: shhbruh escape/persistence material and C3 covert-C2 kept as reference
only, not wired into the running organism. See CONSOLIDATION.md.
https://claude.ai/code/session_01UehUqEXXJJCsHoA4voCU5c
40 lines
1.4 KiB
Markdown
40 lines
1.4 KiB
Markdown
# API Reference — Performing Physical Intrusion Assessment
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## Libraries Used
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- **csv**: Generate and parse assessment checklists
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- **pathlib**: File operations
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## CLI Interface
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```
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python agent.py checklist [--categories perimeter access_control server_room social_engineering] [--output checklist.csv]
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python agent.py score --csv completed_assessment.csv
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python agent.py report --csv completed_assessment.csv
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```
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## Core Functions
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### `generate_checklist(categories, output_file)` — Create assessment template
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22 checks across 4 categories with severity ratings. Outputs to CSV.
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### `score_assessment(results_csv)` — Calculate compliance score
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Groups by category and severity. Identifies critical failures.
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### `generate_report(results_csv)` — Executive summary with risk level
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## Assessment Categories (22 checks)
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| Category | Checks | Focus |
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|----------|--------|-------|
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| Perimeter Security | 5 | Fencing, CCTV, lighting, barriers |
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| Access Control | 6 | Badge access, tailgating, visitor policy |
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| Server Room | 6 | MFA, CCTV, environmental, access logs |
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| Social Engineering | 5 | Visitor challenge, clean desk, shredding |
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## Risk Classification
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- **CRITICAL**: Critical control failures found
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- **HIGH**: >5 failed checks
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- **MEDIUM**: 1-5 failed checks
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- **LOW**: All checks passed
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## Dependencies
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No external packages — Python standard library only.
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