mirror of
https://github.com/SHOGGOTH-SECTOR/sica-fondt.git
synced 2026-08-01 08:30:20 +00:00
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
30 lines
581 B
Elixir
30 lines
581 B
Elixir
alias GradingClient.Answer
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to_answers = fn module_name, answers ->
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Enum.map(answers, fn data ->
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%Answer{
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module_id: module_name,
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question_id: data.question_id,
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answer: data.answer,
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help_text: data[:help_text]
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}
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end)
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end
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owasp_questions = [
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%{
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question_id: 1,
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answer: :entry_granted_op2,
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help_text: "Research MD5 Rainbow Tables"
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},
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%{
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question_id: 2,
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answer: :plug,
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help_text: "Check the changelog for the next minor or major release of each option."
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}
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]
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List.flatten([
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to_answers.(OWASP, owasp_questions)
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])
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