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hypo-research

Name: hypo-research
Author: hypoxanthineovo

By HypoxanthineOvO

Academic research assistant toolkit for survey, search, screening, citation traversal, LaTeX lint/fix, bibliography verification, polishing, translation, and check pipelines.

npx claudepluginhub hypoxanthineovo/hypo-research --plugin hypo-research

Popularity

Stars

Above avg

Med: 0·Avg: 285

Installs

Med: 0·Avg: 1

What's Inside

Skills9

hypo-check

/hypo-check

Run the full writing-quality pipeline for a LaTeX paper project: lint, auto-fix preview or apply, citation verification, and aggregated reporting. Use this when the user wants a submission-readiness check, a one-command writing QA pass, or a structured report summarizing lint and bibliography health.

hypo-cite

/hypo-cite

Expand a literature candidate pool by traversing the citation graph from seed papers. Uses Semantic Scholar and OpenAlex APIs to discover citing and cited papers, deduplicates, and outputs results compatible with /hypo-screen. Use this whenever the user wants to find papers connected to known seed papers, asks for citation-network expansion, or needs a Litmaps / Connected-Papers-style discovery step between survey and screening.

hypo-lint

/hypo-lint

Check the structural quality of a LaTeX paper project. Use this whenever the user wants to lint, review, normalize, or auto-fix LaTeX structure issues: labels, refs, floats, citations, table environments, spacing, BibTeX fields, title case, or abbreviation expansion. Run the stats extractor first, let the script collect objective facts, then apply Agent judgment for abbreviation and title-case recommendations, and optionally patch auto-fixable issues.

hypo-polish

/hypo-polish

Polish academic English in LaTeX papers. Use this whenever the user wants to improve wording, clarity, concision, sentence flow, paragraph transitions, or section-level writing quality in a paper, rebuttal, abstract, or technical draft. Run the stats extractor first, let it surface long sentences and repetitive openings, then have the Agent perform the actual language rewrite.

hypo-screen

/hypo-screen

Screen and classify papers from a Hypo-Research survey output directory using user-defined rules. Generates a classification report with per-paper labels, category counts, and an analysis summary.

Stats

Version0.4.0

ReleasedApr 24, 2026

LanguagePython

Stars2

MaintenanceGood

LicenseMIT

Last CommitApr 24, 2026

AddedApr 24, 2026

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hypo-research2

README

🔬 Hypo-Research

学术文献调研 AI Skill 包，在 Codex CLI 或 Claude Code 中一键调用，三源并行检索、自动去重验证、生成结构化报告。

✨ 特性

三源并行检索：Semantic Scholar + OpenAlex + arXiv 同时搜索
自动去重 & 交叉验证：DOI / 标题+作者双重匹配，标记 verified / single-source / suspicious
筛选分类引擎：按自定义规则对候选池分类，输出结构化分析报告
LaTeX 结构检查：静态提取 label / ref / float / BibTeX 统计，支持单文件和多文件项目 lint
写作维护工具：支持多文件 LaTeX 项目的引用验证、英文润色和中英双语同步维护
结构化输出：Markdown 报告 + BibTeX 引用 + JSON 元数据
Skill 驱动：通过 /hypo-survey 等命令直接调用，Agent 自动完成全流程

🚀 快速开始

安装

git clone https://github.com/HypoxanthineOvO/Hypo-Research.git
cd Hypo-Research
uv sync
./install-skills.sh

没有 uv？curl -LsSf https://astral.sh/uv/install.sh | sh

Installation

As a Python package / repo checkout

git clone https://github.com/HypoxanthineOvO/Hypo-Research.git
cd Hypo-Research
uv sync
./install-skills.sh

As a Claude Code Plugin

/plugin marketplace add HypoxanthineOvO/Hypo-Research
/plugin install hypo-research@hypoxanthineovo-hypo-research

As a Codex Skill

当前 Codex skill-installer 的稳定方式是从 GitHub repo/path 安装一个 skill bundle：

$skill-installer https://github.com/HypoxanthineOvO/Hypo-Research/tree/main/.agents/skills/hypo-research

说明：

Claude Code 侧支持 marketplace 安装。
Codex 侧当前支持的是 GitHub 路径安装；裸名字安装依赖上游 curated registry，不由本仓库单独决定。

配置（可选）

# Semantic Scholar API Key — 大幅提升搜索速率，不设置也能用
export SEMANTIC_SCHOLAR_API_KEY="your-key-here"

# 申请: https://www.semanticscholar.org/product/api#api-key-form

项目级配置文件也支持：

uv run hypo-research init
uv run hypo-research init --dir ./paper

优先级：CLI 参数 > .hypo-research.toml > 环境变量 > 内置默认值。

Packaging 入口：

Claude marketplace: .claude-plugin/marketplace.json
Claude plugin bundle: plugins/hypo-research/.claude-plugin/plugin.json
Codex skill bundle: .agents/skills/hypo-research/SKILL.md

Skills

Hypo-Research provides 8 Skills organized into two modules:

📚 Survey Module — Literature Discovery & Analysis

Skill	Command	Description
`/hypo-survey`	`uv run hypo-research search`	Comprehensive literature survey with multi-source search, deduplication, and verification
`/hypo-search`	`uv run hypo-research search`	Quick targeted search for specific papers or topics
`/hypo-screen`	`Agent-driven (no standalone CLI)`	Filter and classify papers by relevance criteria
`/hypo-cite`	`uv run hypo-research cite`	Citation graph traversal — expand references and citations from seed papers

✍️ Writing Module — LaTeX Paper Writing Assistance

Skill	Command	Description
`/hypo-lint`	`uv run hypo-research lint`	LaTeX structure checking — 13 rules covering `\cref`, floats, labels, `tblr`, title case, spacing, and more
`/hypo-verify`	`uv run hypo-research verify`	Citation verification — check `.bib` entries against Semantic Scholar and OpenAlex
`/hypo-polish`	`uv run hypo-research lint --stats`	English polishing — full-document scan or targeted section rewriting (Agent-driven, uses `chapter_stats`)
`/hypo-translate`	`uv run hypo-research lint --stats`	Bilingual maintenance — sync/cn2en/en2cn modes for `% 中文注释` + English paragraph pairs
`/hypo-check`	`uv run hypo-research check`	Writing pipeline — lint, auto-fix, verify, and save an aggregated report

📖 Skills 使用指南

`/hypo-survey` — 综合文献调研

完整的多源文献调研。Agent 自动设计查询、扩展关键词、三源并行检索、去重验证、生成报告。

参数	必填	说明	示例
`topic`	✅	调研主题	`"NeRF real-time rendering"`
`year_range`		年份范围	`2020-2026`（默认近 5 年）
`sources`		数据源	`all` / `s2` / `openalex` / `arxiv`

示例：

/hypo-survey topic="NeRF real-time rendering" year_range=2020-2026

Agent 会自动：

设计主 query + 扩展 query："neural radiance field real-time"、"instant NGP"、"3D Gaussian splatting acceleration"
三源并行检索 -> 去重合并 -> 交叉验证
输出报告：

📊 检索完成

- 论文数：142（87 verified，55 single-source）
- Top 5：
  1. Instant-NGP (2022, SIGGRAPH, citations=1847)
  2. 3D Gaussian Splatting (2023, SIGGRAPH, citations=956)
  3. Plenoxels (2022, CVPR, citations=892)
  4. TensoRF (2022, ECCV, citations=634)
  5. Mip-NeRF 360 (2022, CVPR, citations=587)
- 输出目录：data/surveys/2026-04-22_nerf_realtime/

`/hypo-screen` — 文献筛选分类

按自定义规则对调研结果进行筛选、分类、分析。将大候选池收敛为结构化的分类报告。

参数	必填	说明	示例
`path`	✅	调研结果目录	`"data/surveys/2026-04-22_fhe_hw/"`
`rules`	✅	分类规则（自然语言）	见下方示例
`recall_checklist`		已知重要论文列表	`"Cinnamon, Hydra, ARK, ..."`

示例：

View full README on GitHub

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hypo-research

Popularity

What's Inside

Confidence

README

🔬 Hypo-Research

✨ 特性

🚀 快速开始

安装

Installation

As a Python package / repo checkout

As a Claude Code Plugin

As a Codex Skill

配置（可选）

Skills

📚 Survey Module — Literature Discovery & Analysis

✍️ Writing Module — LaTeX Paper Writing Assistance

📖 Skills 使用指南

/hypo-survey — 综合文献调研

/hypo-screen — 文献筛选分类

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🔬 Hypo-Research

✨ 特性

🚀 快速开始

安装

Installation

As a Python package / repo checkout

As a Claude Code Plugin

As a Codex Skill

配置（可选）

Skills

📚 Survey Module — Literature Discovery & Analysis

✍️ Writing Module — LaTeX Paper Writing Assistance

📖 Skills 使用指南

/hypo-survey — 综合文献调研

/hypo-screen — 文献筛选分类

Popularity

Health & Quality

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`/hypo-survey` — 综合文献调研

`/hypo-screen` — 文献筛选分类

`/hypo-survey` — 综合文献调研

`/hypo-screen` — 文献筛选分类