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.
How to install paper-claim-audit?
wanshuiyin/auto-claude-code-research-in-sleep/paper-claim-audit
$npx -y skills add wanshuiyin/auto-claude-code-research-in-sleep --skill paper-claim-auditInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/wanshuiyin/auto-claude-code-research-in-sleep" --skill "wanshuiyin/auto-claude-code-research-in-sleep/paper-claim-audit"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/wanshuiyin/auto-claude-code-research-in-sleep" that are relevant to the current task. Run `npx skills add "https://github.com/wanshuiyin/auto-claude-code-research-in-sleep"` and select the relevant skills, then follow their instructions.
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