mirror of
https://github.com/SHOGGOTH-SECTOR/sica-fondt.git
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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
22 lines
536 B
Markdown
22 lines
536 B
Markdown
# GradingClient
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Simple client that abstracts out the `grading_server` connection.
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## Installation
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If [available in Hex](https://hex.pm/docs/publish), the package can be installed
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by adding `grading_client` to your list of dependencies in `mix.exs`:
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```elixir
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def deps do
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[
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{:grading_client, "~> 0.1.0"}
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]
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end
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```
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Documentation can be generated with [ExDoc](https://github.com/elixir-lang/ex_doc)
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and published on [HexDocs](https://hexdocs.pm). Once published, the docs can
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be found at <https://hexdocs.pm/grading_client>.
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