autoscirub

Plugin autoscirub from marketplace autoscirub-local in zjunlp/AutoSciRub. Commands read from the repo's manifest — 26 days ago.

Skills (8)

• autoscirub

  Coordinate the full AutoSciRub workflow for autonomous scientific research tasks. Use when a user wants to turn an underspecified research instruction into an executable rubric, guide research execution, verify a report criterion by criterion, and run targeted revision rounds across Codex, Claude Co

• criterion-level-verification

  Verify a scientific report and supporting artifacts against an AutoSciRub executable rubric criterion by criterion. Use after execution has produced a report, code, results, tables, figures, or other artifacts, when Codex needs strict satisfaction labels, evidence found, evidence gaps, and required

• criterion-synthesis

  Synthesize a task-specific executable scientific rubric from an instruction-derived skeleton, literature grounding, and task-data profile. Use in AutoSciRub when Codex needs criteria with linked goals, data sources, required analyses, metrics, comparisons, expected artifacts, provenance, and satisfa

• mineru-pdf-to-markdown

  Convert PDFs and paper-like documents into Markdown with MinerU before reading or analyzing them. Use when AutoSciRub or another scientific agent needs to inspect local or remote PDFs, equations, tables, or scanned papers where direct PDF text extraction would be lossy; supports MinerU Agent lightwe

• rubric-skeleton-induction

  Induce an instruction-derived scientific goal skeleton from a research task before reading literature, web sources, data details, code, or prior results. Use at the start of AutoSciRub when Codex needs atomic, traceable goals that state what the task should address without prescribing methods or met

• scientific-literature-grounding

  Ground an AutoSciRub rubric skeleton in scientific literature and authoritative documentation. Use after rubric_skeleton.json exists when a research agent needs goal-centered methods, protocols, metrics, baselines, controls, robustness checks, and evidence forms from task-visible papers, public lite

• targeted-revision

  Perform one AutoSciRub targeted revision round using failed executable-rubric criteria and criterion-level verification feedback. Use when Codex needs to update a research artifact by adding missing experiments, comparisons, evidence, analysis, figures, tables, or report text while preserving suppor

• task-data-exploration

  Build a lightweight task-visible data and resource profile for AutoSciRub. Use after rubric skeleton and literature grounding when Codex needs to inspect available files, datasets, code, schemas, units, labels, tools, constraints, and goal feasibility before synthesizing executable criteria.

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