40fa75258a
Addresses the review observation on #993: the compiled skill's authoring-notes.json carried only a `source` block (how it was built) even though its content is derived from an external MIT-licensed work, where the rest of the repo uses an `attribution` block for that. check_plugin_json.py's NOTES_ALLOWED permits both keys, so the two coexist. Adds `attribution` to engineering/spinning-up-deep-rl following the shape used by book-to-skill and skillopt-sleep: derived_from, upstream_docs, upstream_path, original_author, original_license, original_copyright, derivation_note. The emitter is deliberately NOT changed to synthesise this. It knows only `--source-note` free text and a rights basis -- not an upstream URL, author or licence -- and a half-filled attribution block is worse than none. Instead Step 11 of conversion_workflow.md now says attribution is added by hand whenever `--rights` is anything but internal-docs, names the field shape, and restates that the actual obligation is the LICENSE notice and README credit -- authoring-notes.json is metadata Claude Code never reads, and a sidecar JSON file is not a licence notice. Gates re-run clean: check_plugin_json --all, check_paths, check_frontmatter, check_dual_publish, check_model_freshness, smoke_scripts (692/692), derive_counters --check, book_skill_validator --strict. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01UySnyf5upm4y8xhYA3w6yw |
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| .. | ||
| .claude-plugin | ||
| agents | ||
| commands | ||
| skills/spinning-up-deep-rl | ||
| LICENSE | ||
| README.md | ||
Spinning Up in Deep RL
Knowledge-base plugin compiled from Spinning Up in Deep RL by Joshua Achiam (OpenAI) by
engineering/book-to-skill. 20 chapters indexed.
What is in here
| File | Contents |
|---|---|
skills/spinning-up-deep-rl/SKILL.md |
Core frameworks, chapter index, topic index (resident, under 4k tokens) |
skills/spinning-up-deep-rl/chapters/ |
One summary per chapter — loaded on demand, never all at once |
skills/spinning-up-deep-rl/glossary.md |
Every significant term, alphabetized, with its chapter |
skills/spinning-up-deep-rl/patterns.md |
Techniques and design patterns with trade-offs |
skills/spinning-up-deep-rl/cheatsheet.md |
Decision rules, thresholds and trade-off matrices |
Use
/cs:spinning-up-deep-rl # core frameworks + chapter index
/cs:spinning-up-deep-rl <topic> # resolve via topic index, read one chapter
/cs:spinning-up-deep-rl ch05 # read one chapter summary
Or invoke the cs-spinning-up-deep-rl agent for a working session anchored to this source.
Provenance and limits
Source: OpenAI's Spinning Up in Deep RL
(openai/spinningup), primarily developed by
Joshua Achiam. Compiled from the docs/ reStructuredText tree at the January 2020
PyTorch update.
Rights basis: open-license. The source is MIT, Copyright (c) 2018 OpenAI, which
permits derivative distribution. The full upstream notice is reproduced in
LICENSE alongside this package's own; the top-level license field in
plugin.json covers the scaffolding only.
Generated, not hand-authored: every claim traces to the source document. It carries that source's blind spots, and it is a set of structured notes — not a copy of the work and not a substitute for reading it.
What it does not cover: DQN and the discrete-action value-learning family, recurrent or
convolutional architectures, partially-observed settings, model-based implementations, and any
deep RL work after early 2020. The six implementations documented are educational; ch13 records
which are research-grade (DDPG, TD3, SAC) and which are not (VPG, TRPO, PPO).
Distribution: shareable. Regenerate or extend with
python3 engineering/book-to-skill/skills/book-to-skill/scripts/extract_document.py, then re-run
book_skill_validator.py before loading the result.