#
ENJA

deepxiv_sdk

DeepXiv/deepxiv_sdk

This skill builds a structured markdown baseline table for any research topic by leveraging the DeepXiv SDK to search arXiv papers, screen metadata, inspect structures, and extract experimental datasets and scores.

919 45MITUpdated 2026-08-12

Overview

The skill provides a rigorous, step-by-step methodology to transform a broad research topic query into a clean, comparative markdown baseline survey. Using the DeepXiv command-line tools (`deepxiv search`, `paper --brief`, `paper --head`, and `paper --section`), it guides agents to search for relevant literature, prioritize empirical papers with open-source code, inspect specific evaluation sections, and compile findings into a standardized format featuring tasks, benchmarks, and verified scores.

Capabilities

  • Executing targeted arXiv searches with date ranges and JSON output
  • Screening candidate papers using brief metadata summaries
  • Inspecting paper section headers to locate experiments and evaluations
  • Extracting datasets, metrics, and quantitative scores accurately without hallucinations
  • Generating formatted markdown summary tables containing source links and open-source statuses

Best for

Creating a state-of-the-art comparison table for academic literature reviews, Surveying recent benchmark scores and evaluation setups for specific machine learning topics, Filtering and identifying open-source implementations associated with recent research papers

Works with

Claude CodeCursorGitHub CopilotCodexChatGPTGemini CLIOpenCode
Evoa Score breakdown= Σ (score × weight)
82
Task usefulness20%88 → +17.6

実タスクにどれだけ役立つか(機能の豊富さ・用途の明確さ)。 AIによるcapabilities/use-cases解析

Code quality15%90 → +13.5

実装・指示の品質。 AIによるSKILL.md/README解析

Maintenance15%100 → +15.0

リポジトリがどれだけ活発に保守されているか。 GitHub 最終push日時の新しさ

Documentation12%38 → +4.6

ドキュメントの充実度・分かりやすさ。 README/独自要約の情報量

Security15%80 → +12.0

危険・不審な挙動が無いか。 AIによるセキュリティレビュー

Originality10%85 → +8.5

ありふれたラッパーではない独自性。 AIによる独自性判定

Popularity8%75 → +6.0

コミュニティの採用度。 GitHub Stars/Forks(対数スケール)

Compatibility5%100 → +5.0

対応AIエージェントの広さ。 AIによる対応エージェント判定

Weighted total82.2 / 100

ライセンス不明/制限あり(Red)のSkillは総合スコアに0.85倍の補正を適用します。 ランキングはこのScoreのみで決まり、広告で変わりません。 算出方法の詳細 →

Security considerations

Interacts with external command-line tools and web/API services; ensure API keys and credentials are handled securely.

Categories

Summary and analysis are original content generated by AI Skills Rank. The skill's source text is not reproduced here — view it on the linked repository.