What problem does it solve? Researchers risk spending months on problems that turn out to be unimportant or low-reach. This Skill evaluates whether a proposed research idea or behavior studies a problem that actually matters, before any experimental commitment. ## Core Features & Use Cases - Impact Dimension Scoring: Rates an idea across five dimensions — important problem, uptake/citation, direction-shifting, real-world reach, and phenomenon value — with HIGH/MEDIUM/LOW judgments. - External Cross-Model Review: Sends the assessment to an external LLM reviewer via the llm-chat MCP for strict, high-rigor feedback and the strongest "so what?" objection. - Structured Impact Report: Produces a report with a 0-10 score, a PROCEED / PROCEED WITH CAUTION / DEPRIORITIZE recommendation, and the audience that would care most. - Use Case: Before launching a mechanistic interpretability experiment, ask whether the target behavior is an open, actively studied problem and whether results would change how the field works. ## Quick Start Ask the assistant to run an impact check on your research idea, for example: "Impact check: studying whether attention heads in small LLMs encode factual recall circuits."