Audit experiment integrity before claiming results. Uses cross-model review (external reviewer backend) to check for fake ground truth, score normalization fraud, phantom results, and insufficient scope. Use when user says \"审计实验\", \"check experiment integrity\", \"audit results\", \"实验诚实度\", or after experiments complete before writing claims.
How to install experiment-audit?
wanshuiyin/auto-claude-code-research-in-sleep/experiment-audit
$npx -y skills add wanshuiyin/auto-claude-code-research-in-sleep --skill experiment-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/experiment-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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