Host-neutral, search-first skill for literature-grounded research idea discovery, framing, and Markdown reporting.
A curated guide for LLM-agent-driven scientific research automation — from getting started to the frontier.
Methods and reviewer workflows for detecting AI-generated issues in scientific manuscripts.
Sub-Process Orchestration - Human problem-solving, complex systems (10-stage pipeline)
Check whether AI-assisted R&D work is truly verified progress. Local-first LOSCR implementation with JSONL evidence ledgers, deterministic replay, service control, and claim checking.
Code for the paper: "Automatic Evaluation Metrics for Artificially Generated Scientific Research" (https://arxiv.org/abs/2503.05712)
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