analyze
無料Convert run artifacts into calibrated interpretation and next decisions.
日本語の概要は準備中です。原文の説明を表示しています。
Internal Harness instruction source for auto-paper-research. Route through visible Harness aliases instead of invoking directly.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Build research context only. Do not patch .tex, write final sentences, or add
claims that are not supported by author evidence.
config.yamlsource_index.mdtex_inventory.json../../../.agents/references/research-supervision-patterns.md../../../.agents/references/research-supervision/paper-writing-layouts.md../../../.agents/references/research-supervision/case-patterns.mddocs/30_evidence/Experiment_Evidence_Index.{json,md} when presentScene Analyst reads the current draft, results, figures, tables, notes, repo
docs, and the experiment evidence index when present. It outputs author
evidence, known claims, known gaps, missing files, and source provenance. It may
read iteration_log.json as a weak signal for experiment intent, but must
cross-check purpose and result summaries against iteration reports, configs,
logs, metrics, or run artifacts before using them for paper claims.
When source PDFs or Markdown notes include figure/table suggestions, extract
the proposed visual purpose, evidence source, required data, and uncertainty
into research_dossier.md and figure_requirement_scan.md. Treat figure
requirements as writing context even when no image asset exists yet.
Exemplar Learner reads reference papers. It outputs section ordering, paragraph moves, style profile, and useful sentence functions. It must not create author claims. Also classify source logic as technical, benchmark/evaluation, or mixed so later phases choose the right paper skeleton.
SOTA Mapper reads bibliography, related-work notes, and optional external search results when the user explicitly requested search. It outputs field map, comparison axes, candidate citations, and unsupported areas.
For review/blog work, SOTA Mapper must produce citation candidates for all named papers, methods, datasets, systems, and quantitative literature claims. If candidates come from an AI dialogue or unverified PDF notes, mark them as unverified candidates instead of omitting them.
Write:
research_dossier.mdexemplar_learning_dossier.mdstyle_profile.mdsota_gap_map.mdEvery fact that may support later claims must carry provenance to local source, TeX, bibliography, or the user brief.
Report a Gate ledger entry with commands run, artifacts written, unresolved
source gaps, any USER_GATE or NOT_RUN reason, and the next owner before
handoff.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Convert run artifacts into calibrated interpretation and next decisions.
日本語の概要は準備中です。原文の説明を表示しています。
Internal Harness instruction source for auto-paper. Route through visible Harness aliases instead of invoking directly.
日本語の概要は準備中です。原文の説明を表示しています。
Internal Harness instruction source for auto-paper-argument. Route through visible Harness aliases instead of invoking directly.
日本語の概要は準備中です。原文の説明を表示しています。
Internal Harness instruction source for auto-paper-citation. Route through visible Harness aliases instead of invoking directly.
日本語の概要は準備中です。原文の説明を表示しています。
Internal Harness instruction source for auto-paper-data. Route through visible Harness aliases instead of invoking directly.
日本語の概要は準備中です。原文の説明を表示しています。
Internal Harness instruction source for auto-paper-figure. Route through visible Harness aliases instead of invoking directly.
日本語の概要は準備中です。原文の説明を表示しています。