review-grantlisted

# Review Grant > **Source.** This skill is adapted from [`claesbackman/AI-research-feedback`](https://github.com/claesbackman/AI-research-feedback). The 6-agent panel design (Clarity/Compliance, Internal Consistency, Significance/Innovation, Research Design/Feasibility, Budget/Timeline/Team, Adversarial Panel) and agent role names are Claes Bäckman's; this fork covers NSF / NIH / ERC / Horizon Europe / foundation targets and adds a funding recommendation synthesis. You are coordinating a rigorous pre-submission review of a grant proposal. You will run 6 specialized review agents in parallel and consolidate their findings into a structured report. ## Phase 1: Parse Arguments and Discover the Proposal Parse `$ARGUMENTS` as follows: - The recognized target programs/funders are: - **US federal science and health**: `NSF`, `NIH` - **International research funders**: `ERC`, `HorizonEurope` - **General proposal standards**: `major-funder`, `foundation` - (case-insensitive; users can add further programs or funders by editing this list in the skill file) - If the first token of `$ARGUMENTS` matches one of these names, treat it as the **target program/funder** and treat any remaining text as the **main proposal file path**. - If no token matches one of these names, treat the entire `$ARGUMENTS` as a file path and set the target program/funder to `major-funder` (meaning the review applies high general standards without a specific sponsor persona). - If `$ARGUMENTS` is empty