Claude Skills · Legal

Novelty Duplication Advisory

wanshuiyin/Anti-Autoresearch

MEMO-ONLY prior-work overlap advisory: surfaces the two ADVISORY taxonomy signals neither a tool nor a model can decide from the paper alone — ADV-TRIVIAL-COMBINATION (standard A+B+C / 缝合 stapling) and ADV-DUPLICATE-PUBLICATION (repackaged / duplicate submission). The executor RETRIEVES candidate prior work (DBLP fuzzy-title + boolean · WebSearch · WebFetch) from the paper's own title + contribution spans in the evidence ledger; TWO fresh cross-model codex reviewers (one per axis) LAY OUT the overlap side-by-side against each anchored contribution claim. It NEVER rules 'trivial' or 'duplicat...

★ 149 Synced 3 hours ago View SKILL.md

At a glance

Legal Manual install Python Actively maintained

This skill is for Legal and helps you identify duplicate publication risks, flag trivial combinations of prior work, and assess novelty overlap in submissions.

Install git clone --depth 1 https://github.com/wanshuiyin/Anti-Autoresearch cp -r Anti-Autoresearch/skills/novelty-duplication-advisory ~/.claude/skills/novelty-duplication-advisory
Can use BashReadWriteWebMCP

Setup, runtime and requirements describe wanshuiyin/Anti-Autoresearch, the repo this skill ships in.

Prior Workduplicate-detectionNovelty Assessmentacademic-integrityPublication EthicsResearch Validation

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View the repo
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