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SkillsMP a collecté 8 skills depuis zjunlp/AutoSciRub. Ouvrez un skill pour examiner sa source et ses détails.
Affichage de 8 skills collectés sur 8.
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…
Langue du texte source : anglais
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,…
Langue du texte source : anglais
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,…
Langue du texte source : anglais
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…
Langue du texte source : anglais
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…
Langue du texte source : anglais
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…
Langue du texte source : anglais
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,…
Langue du texte source : anglais
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…
Langue du texte source : anglais