Step 5 of the PaperOrchestra pipeline (arXiv:2604.05018). Iteratively refine drafts/paper.tex by simulating peer review and applying targeted revisions, with strict accept/revert halt rules, deterministic 0-100 decision bands (Accept/Minor/Major/Reject) that drive a target-met early stop, and a Devil's Advocate concession-threshold guard that blocks acceptance on unresolved critical findings. Maintains a worklog and snapshots each iteration so revert is real, not symbolic. TRIGGER when the orchestrator delegates Step 5 or when the user asks to "refine the draft", "iterate on the paper", or "run peer review on this paper".
How to install content-refinement-agent?
ar9av/paperorchestra/content-refinement-agent
$npx -y skills add ar9av/paperorchestra --skill content-refinement-agentInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/ar9av/paperorchestra" --skill "ar9av/paperorchestra/content-refinement-agent"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/ar9av/paperorchestra" that are relevant to the current task. Run `npx skills add "https://github.com/ar9av/paperorchestra"` and select the relevant skills, then follow their instructions.
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