science-reproducibility
De la autor
Use before reporting any experiment result, when a result cannot be re-run, when writing the methods section, or when preparing a reproducibility package; covers run provenance, environment capture, seed handling, artifact hashing, and the clean-room re-run check.
Instalare
npx skills add yzlin286-wq/Deepscient --skill science-reproducibility -a claude-code
Se instalează în .claude/skills/science-reproducibility/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
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Verificări de siguranță pe SKILL.md
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De ce 83
aiqbench calculează scorul de încredere din semnale publice. Nu este un audit de securitate, așa că citește un skill înainte să-l instalezi.
Skill-uri similare
Cele mai apropiate de acesta prin ce fac și când sunt folosite.
- science-experiment-runbookyzlin286-wq/DeepscientUse when turning an approved plan into an actual run — when the design and sample size are settled and someone needs to produce data, execute code, or reproduce a result; when a run must be recordable (inputs, outputs, environment, seed) so that six months later the numbers in the paper can be traced back; when a result cannot be reproduced and the difference has to be explained rather than waved away; also use when deciding where raw data, analysis code and generated artifacts belong.Știință★ 92
- scientific-writingK-Dense-AI/scientific-agent-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.Știință★ 54.7K
- reproducibility-statementKalarisLabs/research-agent-skillsPrepare the reproducibility, transparency and open-science parts of a paper, including data and code availability statements, reproducibility checklists (NeurIPS, ICML, ICLR, ACL Responsible NLP, Nature reporting summaries), research artifact packaging (Zenodo DOI, CITATION.cff, environment lockfiles, seeds), ethics/broader-impact statements, CRediT author contributions, competing interests and AI-use disclosures. Use when a venue requires any of these statements or checklists, or when preparing code/data for release alongside a paper.Știință★ 65
- sci-rebuttalbrycewang-stanford/Awesome-Journal-SkillsUse after Science reviews arrive to triage the decision, prioritize experiments, and draft a point-by-point response that is respectful, evidence-led, and honest about limits. Do not run before the main text is actually revised.Știință★ 1.3K
- using-practiceJanYork/llm-wiki-cliUse when creating or recovering a durable paper, attempt, grade, flashcard, scheduled review, mistake history, or goal-evidence record. Skip Tutor comprehension checks, lightweight diagnostics, and disposable questions.Știință★ 68
- science-literature-searchyzlin286-wq/DeepscientUse when starting a literature review, checking whether an idea is already published, or updating a topic search; covers query construction, multi-source coverage, deduplication, inclusion criteria, and what must be recorded so the search is reproducible.Știință★ 92
Note și recenzii
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nicio recenzie
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