scientific-critical-thinking

Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best for understanding evidence quality, identifying flaws. For formal peer review writing use peer-review.

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Repositório: strmt7/ai_skills_collection_benchmarked
Última atividade na origem: 17 de abril de 2026 às 21:49
Idioma detectado do SKILL.md: inglês
Estrelas: 0
Forks: 0

Opções de instalação

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npx skills add https://github.com/strmt7/ai_skills_collection_benchmarked --skill scientific-critical-thinking

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SKILL.md

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scientific-critical-thinking

Use this skill when the task matches the description above or the source path clearly applies. Start with this concise entrypoint; open

../../../../../skills/by-category/science-research-data-analysis/latest-release-community/scientific-critical-thinking/SKILL.md

only when implementation details, commands, assets, or references are needed.

Workflow

Confirm the task matches this skill's scope.

Read the local source mirror if more detail is required.

Follow repository-level AGENTS.md; use one AI session only.

Keep claims tied to files, commands, citations, or benchmark artifacts.

Verification

Source mirror:

../../../../../skills/by-category/science-research-data-analysis/latest-release-community/scientific-critical-thinking/SKILL.md

Source commit: eb20fb0dcb0b1dadaa3db2737188f0755bbc4770

Static benchmark results: see docs/benchmark-results.md

Runtime artifacts recorded by this entrypoint: 0

Assigned scenarios: skill-proof-k-dense-ai-scientific-agent-skills-scientific-skills-scientific-critical-thinking-skill-md, science-research-and-data-analysis-cellxgene-census, science-research-and-data-analysis-chembl, science-research-and-data-analysis-ome-ngff-samples

Do not claim this skill passed a runtime benchmark until a validated artifact exists.

name	scientific-critical-thinking
description	Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best for understanding evidence quality, identifying flaws. For formal peer review writing use peer-review.
source_skill_id	k-dense-ai-scientific-agent-skills-scientific-skills-scientific-critical-thinking-skill-md
category	Science, research & data analysis
source_mirror	../../../../../skills/by-category/science-research-data-analysis/latest-release-community/scientific-critical-thinking/SKILL.md
benchmark_status	artifact_gated