Third-Party Components and Attribution

This project (`OpenMobius-skill`) is licensed under Apache 2.0 (see `LICENSE`).

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PublishedMay 30, 2026

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Skill content

Main instructions and any bundled files for this skill.

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Third-Party Components and Attribution

This project (OpenMobius-skill) is licensed under Apache 2.0 (see LICENSE). It depends on the following open-source components, each under its own license. We do not redistribute these components in this repository — they are downloaded from their canonical sources during install.

Runtime dependencies (installed via pip from PyPI)

PackageLicenseSource
sentence-transformersApache-2.0https://github.com/UKPLab/sentence-transformers
chromadbApache-2.0https://github.com/chroma-core/chroma
numpyBSD-3-Clausehttps://github.com/numpy/numpy
einopsMIThttps://github.com/arogozhnikov/einops
PillowMIT-CMUhttps://github.com/python-pillow/Pillow
playwrightApache-2.0https://github.com/microsoft/playwright-python
openai (optional)Apache-2.0https://github.com/openai/openai-python

Full version pins are in requirements.txt. Each package's license file is installed alongside the package in the project's virtual environment.

Embedding model

nomic-ai/nomic-embed-text-v1.5 — licensed under Apache-2.0.

The installer downloads the model from HuggingFace Hub's official URL at install time. This project does not redistribute the model weights; the optional acceleration bundle on the project's CDN simply mirrors HuggingFace's files for download-speed reasons, with the original Apache 2.0 license and attribution preserved inside the bundle.

Headless browser

chromium — open-source browser project (BSD-style license; see https://chromium.googlesource.com/chromium/src/+/main/LICENSE).

Downloaded by the playwright dependency from Microsoft's Playwright CDN at install time. Used solely to render chart images for analysis output (no browsing, no network requests other than loading our local HTML template).

Charting library

lightweight-charts — Apache 2.0 — https://github.com/tradingview/lightweight-charts

A small JavaScript chart library bundled into the chart-rendering HTML template. Used in headless chromium to produce K-line image output.

Knowledge base content

The 380 concept cards and 584 case cards under knowledge_base/ are original structured summaries authored by this project from analysis of publicly available educational content (online ICT/SMC trading tutorials). They do not contain verbatim copies of source material; each card is a paraphrased, schema-structured representation of trading concepts for research and educational purposes.

If you believe a card contains material that should be removed or attributed differently, please open an issue.

License of this project

Apache License 2.0 — see LICENSE.

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# Third-Party Components and Attribution

This project (`OpenMobius-skill`) is licensed under Apache 2.0 (see `LICENSE`).
It depends on the following open-source components, each under its own
license. We do not redistribute these components in this repository — they
are downloaded from their canonical sources during install.

## Runtime dependencies (installed via pip from PyPI)

| Package | License | Source |
|---|---|---|
| sentence-transformers | Apache-2.0 | https://github.com/UKPLab/sentence-transformers |
| chromadb | Apache-2.0 | https://github.com/chroma-core/chroma |
| numpy | BSD-3-Clause | https://github.com/numpy/numpy |
| einops | MIT | https://github.com/arogozhnikov/einops |
| Pillow | MIT-CMU | https://github.com/python-pillow/Pillow |
| playwright | Apache-2.0 | https://github.com/microsoft/playwright-python |
| openai (optional) | Apache-2.0 | https://github.com/openai/openai-python |

Full version pins are in `requirements.txt`. Each package's license file
is installed alongside the package in the project's virtual environment.

## Embedding model

`nomic-ai/nomic-embed-text-v1.5` — licensed under Apache-2.0.

- Model card: <https://huggingface.co/nomic-ai/nomic-embed-text-v1.5>
- Authors: Nomic AI

The installer downloads the model from HuggingFace Hub's official URL at
install time. **This project does not redistribute the model weights**;
the optional acceleration bundle on the project's CDN simply mirrors
HuggingFace's files for download-speed reasons, with the original Apache
2.0 license and attribution preserved inside the bundle.

## Headless browser

`chromium` — open-source browser project (BSD-style license; see
<https://chromium.googlesource.com/chromium/src/+/main/LICENSE>).

Downloaded by the `playwright` dependency from Microsoft's Playwright CDN
at install time. Used solely to render chart images for analysis output
(no browsing, no network requests other than loading our local HTML
template).

## Charting library

`lightweight-charts` — Apache 2.0 — <https://github.com/tradingview/lightweight-charts>

A small JavaScript chart library bundled into the chart-rendering HTML
template. Used in headless chromium to produce K-line image output.

## Knowledge base content

The 380 concept cards and 584 case cards under `knowledge_base/` are
**original structured summaries** authored by this project from analysis
of publicly available educational content (online ICT/SMC trading
tutorials). They do not contain verbatim copies of source material;
each card is a paraphrased, schema-structured representation of trading
concepts for research and educational purposes.

If you believe a card contains material that should be removed or
attributed differently, please open an issue.

## License of this project

Apache License 2.0 — see [LICENSE](./LICENSE).
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