novelty-check

# Novelty Check Skill Check whether a proposed method/idea has already been done in the literature: **$ARGUMENTS** ## Constants - REVIEWER_MODEL = `gpt-5.6-sol` — Model used via Codex MCP. Must be an OpenAI model (e.g., `gpt-5.6-sol`, `o3`, `gpt-4o`) ## Instructions Given a method description, systematically verify its novelty: ### Phase A: Extract Key Claims 1. Read the user's method description 2. Identify 3-5 core technical claims that carry the claimed delta: - What is the method? - What problem does it solve? - What is the mechanism? - What makes it different from obvious baselines? ### Phase B: Multi-Source Literature Search For EACH core claim, search using ALL available sources: 1. **Web Search** (via `WebSearch`): - Search arXiv, Google Scholar, Semantic Scholar - Use specific technical terms from the claim - Try at least 3 different query formulations per claim - Include year filters for 2024-2026 2. **Known paper databases**: Check against: - ICLR 2025/2026, NeurIPS 2025, ICML 2025/2026 - Recent arXiv preprints (2025-2026) 3. **Read abstracts**: For each potentially overlapping paper, WebFetch its abstract and related work section ### Phase C: Cross-Model Verification Call REVIEWER_MODEL via Codex MCP (`mcp__codex__codex`) with xhigh reasoning. When the method description plus the Phase-B paper list is more than a short note, avoid pasting it inline into the MCP prompt. Write a dossier file such as `NOVELTY_DOSSIER.md` (or a...