{
  "source": {
    "spec": "generated by engineering/book-to-skill",
    "build_pattern": "book-to-skill conversion: extract -> analyze -> chapter files + glossary + patterns + cheatsheet -> master SKILL.md",
    "distinct_from": "not a hand-authored skill; every claim traces to the source document named below",
    "source_document": "Spinning Up in Deep RL by Joshua Achiam (OpenAI)",
    "chapters": 20,
    "distribution": "shareable",
    "license_scope": "plugin.json's top-level `license` covers this package's scaffolding only. The compiled notes under skills/ are derived from the source document and carry that work's terms; see source.rights_basis.",
    "rights_basis": "open-license",
    "rights_note": "the source work carries a licence permitting derivative distribution"
  },
  "attribution": {
    "derived_from": "https://github.com/openai/spinningup",
    "upstream_docs": "https://spinningup.openai.com/",
    "upstream_path": "docs/ (reStructuredText tree, 38 files)",
    "original_author": "Joshua Achiam, OpenAI",
    "original_license": "MIT",
    "original_copyright": "Copyright (c) 2018 OpenAI (http://openai.com)",
    "derivation_note": "No upstream code or prose is reproduced. The compiled skill is structured study notes -- named frameworks, key concepts, decision rules and per-chapter summaries -- generated by engineering/book-to-skill from the source's docs/ tree, with chapter structure taken from the source's own toctree. Upstream's MIT notice is reproduced in full in this package's LICENSE, which is where the licence obligation is met; this file is authoring metadata and is not a licence notice. Coverage is pinned to the source's final (January 2020 PyTorch) update."
  }
}
