Zero-context verification that every number, comparison, and scope claim in the paper matches raw result files. Uses a fresh paper architect/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 experiment-claim-audit?
moonlarry/codex-paper-skills/experiment-claim-audit
$npx -y skills add moonlarry/codex-paper-skills --skill experiment-claim-auditInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/moonlarry/codex-paper-skills" --skill "moonlarry/codex-paper-skills/experiment-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/moonlarry/codex-paper-skills" that are relevant to the current task. Run `npx skills add "https://github.com/moonlarry/codex-paper-skills"` and select the relevant skills, then follow their instructions.
Related
6 picksType
- researchInvestigate a question against high-trust primary sources and capture the findings as a Markdown file in the repo.Jul 2026
- analyze-projectRigor Analyze / Rigor Audit read-only skill for deep learning research repositories.Jul 2026
- paper-context-resolverRigor Paper Context helper for README-first deep learning repo reproduction.Jul 2026
- repo-intake-and-planRigor Intake helper for README-first deep learning repo reproduction.Jul 2026
- firecrawl-searchWeb search with full page content extraction. Use this skill whenever the user asks to search the web, find articles, research a topic, look something up, find…Jul 2026
- customer-researchWhen the user wants to conduct, analyze, or synthesize customer research.Jul 2026
