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documentation-audit
Assess documentation completeness against BetterBench/Datasheets standards
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Assess documentation completeness against BetterBench/Datasheets standards
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
SOTA Performance Baseline Campaign — 5 strategies for systematically collecting, standardizing, and analyzing performance data across methods. Produces standardized comparison tables, progress curves, and headroom analysis.
Assess systematic biases in the evidence body — publication bias, reporting bias, and selective outcome reporting. Budget: 40 studies, 40 effect sizes, 40 web searches.
Track evidence accumulation over time — cumulative meta-analysis protocol design. Budget: 40 studies, 40 effect sizes, 30 web searches.
Design structured data extraction form for systematic meta-analysis data collection
Systematically extract effect sizes and conditions from papers for meta-analytic synthesis
Determine effect size types and calculation methods for meta-analytic synthesis
| name | documentation-audit |
| description | Assess documentation completeness against BetterBench/Datasheets standards |
| execution | subagent |
| prompt | ./prompt.md |
| input | benchmark_documentation |
| used-by | benchmark-archaeology |
Assess benchmark documentation completeness against established standards: BetterBench 46-criterion framework, Datasheets for Datasets, and Data Statements for NLP.
Documentation completeness score with per-criterion pass/fail and prioritized gaps.