菜单
Fetch bioRxiv and medRxiv preprint metadata by DOI, or browse a narrow date range with a category, for life-science and medical preprints. Use when you already have a DOI or an approximate date plus category — not for open-ended keyword discovery. Public API, no credential needed.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
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。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/eightmm/codex-science --skill biorxiv-search命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Execute auditable quantitative research across preregistered study design, statistical inference, numerical verification, dimensional analysis, uncertainty propagation, counterexample search, and formal proof. Use when a scientific or mathematical question needs actual computation and machine-readable evidence rather than only explanation.
Compare finite actions under uncertainty with explicit states, loss, utility or risk-neutral payoff, priors, experiment likelihoods, and a declared decision criterion. Use for Bayes risk, expected utility or payoff, pure-action minimax, minimax regret, dominance, posterior decision policies, EVPI/EVSI, experiment-cost decisions, and prior-threshold sensitivity; do not use for ordinary statistical testing, causal identification, strategic games, or MDP/POMDP/RL planning.
Compare finite actions under uncertainty with explicit states, loss, utility or risk-neutral payoff, priors, experiment likelihoods, and a declared decision criterion. Use for Bayes risk, expected utility or payoff, pure-action minimax, minimax regret, dominance, posterior decision policies, EVPI/EVSI, experiment-cost decisions, and prior-threshold sensitivity; do not use for ordinary statistical testing, causal identification, strategic games, or MDP/POMDP/RL planning.
基于 SOC 职业分类
正在显示 SKILL.md
| name | biorxiv-search |
| description | Fetch bioRxiv and medRxiv preprint metadata by DOI, or browse a narrow date range with a category, for life-science and medical preprints. Use when you already have a DOI or an approximate date plus category — not for open-ended keyword discovery. Public API, no credential needed. |
| license | Apache-2.0 |
Codex-native adaptation of Google DeepMind's literature-search-biorxiv skill
(science-skills, Apache-2.0).
Uses the public bioRxiv API directly.
The bioRxiv API has no server-side keyword search. Choose by what you know:
$cx-pubmed-search, $cx-europepmc-search, $cx-openalex-search,
$cx-arxiv-search) to find DOIs, then return here for preprint metadata.Anti-pattern: never scan months/years and filter locally by keyword — it triggers thousands of calls, timeouts, and API blocks.
uv run, never bare python3.https://api.biorxiv.org/details/biorxiv/<DOI> (use medrxiv for
medRxiv). Returns title, authors, date, category, version, and abstract.https://api.biorxiv.org/details/biorxiv/<YYYY-MM-DD>/<YYYY-MM-DD>/<cursor>;
page with the cursor and filter by category over a narrow window. Write
responses to a file and parse them.$science-provenance; check
claims with $science-review.