Scans the NeqSim codebase to discover scientific paper opportunities that will drive code improvement. Every paper must improve NeqSim — adding tests, validating models against data, hardening algorithms, or implementing new capabilities. Produces ranked, actionable topics that feed into the planner agent.
Handles peer review revision rounds. Parses reviewer comments, maps them to manuscript sections, proposes responses, identifies required re-runs, and generates a structured response letter with redline changes.
Simulates a multi-reviewer panel for PaperLab manuscripts and books, covering novelty, methods, thermodynamics, reproducibility, figures, and editorial fit.
Drafts scientific manuscript sections from structured artifacts. Every quantitative claim must link to an approved claim ID. Uses literature notes, benchmark results, and validation reports as source material.
Drafts ONE section of a book chapter (300–1500 words). Strictly scoped: takes a section spec + chapter context + previous-section tail and returns publication-quality markdown. Used by the book-write orchestrator (tools/bookwriter.py) to compose long books from many small LLM calls. Do NOT use this agent for full…
Reads engineering figures using source metadata, OCR/vision candidates, and chapter context. Produces figuredossier.json records for captions and discussion blocks.
Statistical validation specialist. Decides whether claimed improvements are real and significant. Produces approvedclaims.json that gates what the writer agent is allowed to state in the manuscript.
Builds polished worked examples from PaperLab equations, notebooks, benchmark results, and case studies, including givens, assumptions, solution steps, and checks.
★not rated 150 todayA36 tokens
originalApache-2.0
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: