literature-reviewlisted

# Literature review (literature-review) Academic search is cheap to do well because the metadata is structured. A DOI either resolves or it does not; the venue, the year and the citation count come from the API; the abstract comes back as text. None of that needs an agent's judgement, so no agent does any of it here. `scripts/paper_search.py` performs every API call, de-duplicates across sources, ranks, and grades. What reaches the model's context is a table of roughly one line per paper — a search of 37 papers writes 70 KB to disk and shows about 1 KB. `{TOOL}` below is this skill's `scripts/paper_search.py`; substitute its absolute path at run time. Run everything from the working directory where the deliverable belongs. OpenAlex puts callers who identify themselves on a faster queue. Set `OPENALEX_MAILTO` to a contact address to join it; without the variable the script still works, on the shared queue. **Output language.** The structure is English and only English: the section headings and the confidence labels, in the report and in every message to the user that carries one. The prose follows the language of the request — the evidence `claim` text, the report body, and every message to the user. `quote` stays in the language of the paper. Search in whatever language the literature on the topic is written in — for most fields English — however the report itself reads. ## Modes | Mode | When | Cost | |---|---|---| | survey | "what is known in this field". 10-20 papers