#reproducibility

Release repository for agent benchmark evidence-reporting artifacts and reproduction workflows.

一个 7×24 小时不间断运行，帮你跑实验、用 Git 维护公开仓库、更新 LaTeX（Overleaf）论文的科研自动化工作流。实测效率提升 25 倍。Claude Code Skill，一条命令装进任意项目。

Evidence-backed scientific AI report infrastructure

Executable biomedical workflows for AI assistants — literature analysis, biomarker discovery, and Mendelian randomization through reproducible agent skills.

Tests exact agent interventions—skills, prompts, models, tools, and workflows—and publishes what changed, what failed, and what decision follows.

Estimand-indexed audit of LLM synthetic respondents against CGSS benchmarks

Trustworthy, reproducible AI data analysis in Claude Code. A data-science plugin (skill + slash commands) that stops your coding agent building on stale data and records what produced every result.

Measuring and verifying LLM decision agents under orbital dynamics, delay, and intermittency: a reproducible testbed, failure-mode taxonomy, and in-chain verification.

Skills, hooks, and CLI checks for safer biomedical AI coding agents.

Transparent benchmark cards, JSON artifacts, and visual tools for photonic AI accelerator energy/noise claims.

Decode papers. Adapt experiments. Learn by running them anywhere.