AI导哈

后端与数据库

paperclip

k-dense-ai/scie…t-skills

Searches and reads biomedical papers, FDA/PMDA/EMA documents, clinical trials, and protein records with the GXL Paperclip CLI and Python SDK. Supports source-scoped search, full-text grep, metadata SQL, map/reduce extraction, figure analysis, optional repositories and claim verification, and line-pinned citations. Use when a task names GXL paperclip, asks to install or authenticate it, or requests literature retrieval and evidence extraction through Paperclip.

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安装命令

npx skills add https://github.com/k-dense-ai/scientific-agent-skills --skill paperclip

SKILL.md

Paperclip CLI

Paperclip by GXL exposes scientific documents through a virtual filesystem and server-side search and readers. This is GXL Paperclip at paperclip.gxl.ai, not the unrelated Paperclip agent-company application. Use the source requested by the user; other providers have their own skills.

This revision checks official docs, the public API schema, and installed CLI/SDK 0.7.92. Local help, SDK request construction, and public metadata were checked. Authenticated retrieval, LLM readers, uploads, and repository mutations were not run during this review; their examples are illustrative. Server behavior can change independently of the CLI version.

Preflight and authentication

command -v paperclip
paperclip --version
paperclip --help

相关 Skills

scientific-writingk-dense-ai/scie…t-skillsDrafts, revises, and audits scientific manuscripts or reports with explicit evidence provenance, reporting-guideline coverage, authorship accountability, confidentiality controls, and local consistency checks. Use for manuscript sections, references, declarations, tables, figures, or submission preparation when scientific accuracy and traceability matter.营销与写作2480scientific-visualizationk-dense-ai/scie…t-skillsCreates and audits truthful, accessible, publication-ready scientific figures with Matplotlib, Seaborn, or Plotly. Use it for figure design, multi-panel layouts, uncertainty and missing-data displays, color/contrast review, image metadata validation, and journal export planning.数据与研究2447scientific-critical-thinkingk-dense-ai/scie…t-skillsEvaluates scientific claims and evidence quality. Applies to experimental design validity, biases and confounders, statistical interpretation, evidence grading frameworks (GRADE, Cochrane Risk of Bias), and teaching critical analysis. Supports evidence appraisal and identifying flaws; formal peer review writing belongs to peer-review.测试与安全2404literature-reviewk-dense-ai/scie…t-skillsConducts systematic, scoping, and narrative literature reviews using PubMed, arXiv, bioRxiv, Semantic Scholar, and other appropriate sources. Use for research synthesis, reproducible literature searches, screening, citation checking, or preparing Markdown and PDF reviews. Tracks search coverage, records versus studies, and evidence limitations; supports meta-analysis planning but does not supply a meta-analysis engine.测试与安全2382scientific-brainstormingk-dense-ai/scie…t-skillsFacilitates evidence-aware scientific ideation with independent generation, structured discussion, explicit assumptions, transparent evaluation, adversarial review, and decision logs. Use for early-stage research brainstorming or prioritizing candidate directions; hand off empirical validation, study design, ethics or regulatory review, and clinical questions to appropriate experts or skills.智能体工作流2335statistical-analysisk-dense-ai/scie…t-skillsGuided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting. Use whenever a user wants to compare groups, test a hypothesis, analyze experimental or survey data, check statistical assumptions, compute required sample sizes, or write up results - even if they never name a specific test. Covers t-tests, ANOVA, chi-square, correlation, regression, non-parametric and Bayesian methods. For low-level model APIs, see the statsmodels and pymc skills.数据与研究2318