Claude 24f816b6a3
Consolidate 22 sibling repos into layered organism structure
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
2026-06-10 06:53:01 +00:00

1.6 KiB

API Reference — Performing NIST CSF Maturity Assessment

Libraries Used

  • csv: Parse and generate assessment CSV files
  • pathlib: File operations

CLI Interface

python agent.py assess --csv assessment_responses.csv
python agent.py gaps --csv assessment_responses.csv
python agent.py template [--output template.csv]
python agent.py executive --csv assessment_responses.csv

Core Functions

assess_from_csv(assessment_file) — Calculate maturity scores

Scores each NIST CSF function (Identify, Protect, Detect, Respond, Recover). Calculates overall maturity level (1-4 scale) and gap-to-target.

generate_gap_analysis(assessment_file) — Prioritized gap report

Classifies gaps: HIGH (>=2 gap), MEDIUM (>=1), LOW (<1).

create_assessment_template(output_file) — Generate blank assessment CSV

Produces CSV with all 23 CSF categories, score/target/evidence columns.

generate_executive_summary(assessment_file) — Board-level report

NIST CSF Functions & Categories (23 total)

Function Categories
IDENTIFY ID.AM, ID.BE, ID.GV, ID.RA, ID.RM, ID.SC
PROTECT PR.AC, PR.AT, PR.DS, PR.IP, PR.MA, PR.PT
DETECT DE.AE, DE.CM, DE.DP
RESPOND RS.RP, RS.CO, RS.AN, RS.MI, RS.IM
RECOVER RC.RP, RC.IM, RC.CO

Maturity Levels

Level Name Description
1 Partial Not formalized
2 Risk Informed Approved but not org-wide
3 Repeatable Formally expressed as policy
4 Adaptive Continuous improvement

Dependencies

No external packages — Python standard library only.