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hypo-cite

Expand a literature candidate pool by traversing the citation graph from seed papers.

Skill by HypoxanthineOvO

IndexedMIT★ 2
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/hypoxanthineovo-hypo-cite

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About

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.

Use cases: research

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/hypo-cite

What's inside

Skill name
hypo-cite
Description
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.
License
MIT
Instructions
47 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# /hypo-cite — 引文图扩展

从种子论文出发,通过引用 / 被引关系发现相关论文。输出与 `/hypo-survey` 格式兼容,可直接传给 `/hypo-screen` 做分类。

如果项目根目录存在 `.hypo-research.toml`,可复用其中的项目级路径约定和 API 相关默认配置。

## 参数

$ARGUMENTS
- seeds: 种子论文列表(必填,支持 DOI / arXiv ID / 论文标题)
- depth: 遍历深度(可选,默认 1,最大 2)
- direction: 遍历方向(可选,`citations` / `references` / `both`,默认 `both`)
- year_range: 年份过滤(可选)
- output_name: 输出目录名(可选)

## 工作流

1. 解析种子论文标识符
   - DOI:直接使用
   - arXiv ID:转换为 S2 格式 `ARXIV:xxxx`
   - 论文标题:通过 S2 Search API 查找匹配

2. 构造并执行命令:

```bash
uv run hypo-research cite \
  --seeds "<seed1>" "<seed2>" "<seed3>" \
  --depth <depth> \
  --direction <direction> \
  --year-start <year_start> \
  --year-end <year_end> \
  --output-dir data/citations/<output_name>
```

3. 遍历完成后:
   - 汇报发现的论文数量和来源分布
   - 列出高引用论文 Top 5
   - 如果有无法解析的种子,提醒用户
   - 建议用 `/hypo-screen` 对结果做分类

4. 向用户输出完成报告:
   - 种子论文:N 篇已解析(M 篇失败)
   - 扩展结果:X 篇(Y 来自 citations,Z 来自 references)
   - 去重统计:原始 A 篇 -> 去重后 B 篇
   - 输出文件路径

From HypoxanthineOvO/Hypo-Research, MIT.

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Last commit (this folder)
Apr 24, 2026 (6 months ago)
Last release
May 9, 2026 (5 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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hypo-cite skill. Agent Mart. https://agentmart.dev/skills/hypoxanthineovo-hypo-cite (last updated 2026-10-24)