mirror of
https://github.com/SHOGGOTH-SECTOR/sica-fondt.git
synced 2026-08-01 00:23:15 +00:00
24f816b6a3
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
25 lines
594 B
Julia
25 lines
594 B
Julia
# G.U.N.D.A.M. Julia Core - Behavioral Analytics
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# Engine: COGITATOR_PERCEPTION
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module GundamStats
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export calculate_domineering_ratio
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"""
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calculate_domineering_ratio(messages::Vector{String})
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Calculates the ratio of imperative commands in a set of messages.
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"""
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function calculate_domineering_ratio(messages::Vector{String})
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if isempty(messages)
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return 0.0
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end
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imperative_regex = r"\b(do|must|shall|obey|comply)\b"i
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imperative_count = count(m -> occursin(imperative_regex, m), messages)
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return imperative_count / length(messages)
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end
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end # module
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