Zero-context verification that every number, comparison, and scope claim in the paper matches raw result files. Uses a fresh cross-model reviewer with NO prior context to prevent confirmation bias. Use when user says "审查论文数据", "check paper claims", "verify numbers", "论文数字核对", or before submission to ensure paper-to-evidence fidelity.
Install
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill paper-claim-auditnpx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill paper-claim-audit -a claude-code -gnpx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill paper-claim-audit -a codex -ggemini skills install https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep.git --path skills/paper-claim-auditgh skill install wanshuiyin/Auto-claude-code-research-in-sleep paper-claim-auditgit clone --depth 1 https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep /tmp/wanshuiyin__Auto-claude-code-research-in-sleep
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/wanshuiyin__Auto-claude-code-research-in-sleep/skills/paper-claim-audit ~/.claude/skills/paper-claim-audit # Claude Code
cp -R /tmp/wanshuiyin__Auto-claude-code-research-in-sleep/skills/paper-claim-audit ~/.agents/skills/paper-claim-audit # Codex, Cursor, Gemini CLI, Copilot, OpenCode