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
55 lines
2.2 KiB
Markdown
55 lines
2.2 KiB
Markdown
# Attribution
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This skill bundles code ported from a third-party MIT-licensed project.
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All reuse is credited here.
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## pixel-art-studio (Synero)
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- Source: https://github.com/Synero/pixel-art-studio
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- License: MIT
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- Copyright: © Synero, MIT-licensed contributors
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### What was ported
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**`scripts/palettes.py`** — the `PALETTES` dict containing 23 named RGB
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palettes (hardware and artistic). Values are reproduced verbatim from
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`scripts/pixelart.py` of pixel-art-studio.
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**`scripts/pixel_art_video.py`** — the 12 procedural animation init/draw pairs
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(`stars`, `fireflies`, `leaves`, `dust_motes`, `sparkles`, `rain`,
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`lightning`, `bubbles`, `embers`, `snowflakes`, `neon_pulse`, `heat_shimmer`)
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and the `SCENES` → layer mapping. Ported from `scripts/pixelart_video.py`
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with minor refactors:
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- Names prefixed with `_` for private helpers (`_px`, `_pixel_cross`)
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- `SCENE_ANIMATIONS` renamed to `SCENES` and restructured to hold layer
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names (strings) instead of function-name strings resolved via `globals()`
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- `generate_video()` split: the Pollinations text-to-image call was removed
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(Hermes uses its own `image_generate` + `pixel_art()` pipeline for base
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frames). Only the overlay + ffmpeg encoding remains.
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- Frame directory is now a `tempfile.TemporaryDirectory` instead of
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hand-managed cleanup.
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- `ffmpeg` invocation switched from `os.system` to `subprocess.run(check=True)`
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for safety.
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### What was NOT ported
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- Wu's Color Quantization (PIL's built-in `quantize` suffices)
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- Sobel edge-aware downsampling (requires scipy; not worth the dep)
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- Bayer / Atkinson dither (would need numpy reimplementation; kept scope tight)
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- Pollinations text-to-image generation (`pixelart_image.py`,
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`generate_base()` in `pixelart_video.py`) — Hermes has `image_generate`
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### License compatibility
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pixel-art-studio ships under the MIT License, which permits redistribution
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with attribution. This skill preserves the original copyright notice here
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and in the SKILL.md credits block. No code was relicensed.
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---
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## pixel-art skill itself
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- License: MIT (inherits from hermes-agent repo)
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- Original author of the skill shell: dodo-reach
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- Expansion with palettes + video: Hermes Agent contributors
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