Agent skill

Graph

by ZimoLiao in ZimoLiao/scholaraio

A skill your agent uses when the user asks about citation relationships, references, citing papers, shared references, bibliographic overlap, or graph-style paper connections.

MITAuto-check passedResearch & Science

Install Graph

skills CLI
$ npx skills add ZimoLiao/scholaraio --skill graph -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ZimoLiao/scholaraio graph --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ZimoLiao/scholaraio.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/graph .claude/skills/graph && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
graph
GitHub stars
576
Token cost
~237 tokens
SKILL.md length
57 words
Files
1
Skills in repo
43
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when the user asks about citation relationships, references, citing papers, shared references, bibliographic overlap, or graph-style paper connections.

  • The user asks about citation relationships
  • SKILL.md covers 执行逻辑, 前提条件 and 示例
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Shared references

What it does

Graph is an agent skill from ZimoLiao/scholaraio. Use when the user asks about citation relationships, references, citing papers, shared references, bibliographic overlap, or graph-style paper connections.

Its SKILL.md is about 240 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Citation management. The repository describes itself as: Scholar All-In-One: A research infrastructure for AI agents. The licence is MIT.

When your agent uses it

  • The user asks about citation relationships
  • Shared references
  • Bibliographic overlap
  • Graph-style paper connections

Example prompts

  • “/graph”

What it can do on your machine

Read from SKILL.md and the folder at commit 777628b. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Graph loads about 237 tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 57 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~40
When it runs · the whole SKILL.md, loaded when a task matches
~237

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from ZimoLiao/scholaraio at commit 777628b, republished under its MIT licence (© ZimoLiao). 57 words, ~237 tokens.

Download SKILL.mdSave it as .claude/skills/graph/SKILL.md (or your agent's skills folder).
name
graph
description
Use when the user asks about citation relationships, references, citing papers, shared references, bibliographic overlap, or graph-style paper connections.

引用图谱查询

查看论文的参考文献、谁引用了此论文、以及多篇论文的共同参考文献。

执行逻辑

查看论文的参考文献
bash
scholaraio refs "<paper-id>" [--ws NAME]
查看谁引用了此论文
bash
scholaraio citing "<paper-id>" [--ws NAME]
共同参考文献分析
bash
scholaraio shared-refs "<id1>" "<id2>" [--min N] [--ws NAME]

参数说明:

  • --min N — 最少被 N 篇论文共同引用才纳入结果(默认 2)
  • --ws NAME — 限定工作区范围

前提条件

参考文献数据来自 Semantic Scholar,需先通过以下方式获取:

  • 入库时自动拉取
  • 已有论文运行 refetch --all --force 补拉
  • 之后运行 index --rebuild 重建索引以更新 citations 表

空结果排查:如果 refs/citing 返回空结果,说明该论文的引用数据尚未获取。先运行 refetch "<paper-id>" 补拉,再 index --rebuild 更新 citations 表。

示例

用户说:"这篇论文引了哪些文献" → 执行 refs "<paper-id>"

用户说:"哪些论文引用了这篇" → 执行 citing "<paper-id>"

用户说:"这两篇论文有什么共同引用" → 执行 shared-refs "<id1>" "<id2>"

© ZimoLiao, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills/graph of ZimoLiao/scholaraio.

Open the folder on GitHubat commit 777628b

Compare with similar skills

Graph next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Graph compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Graph this skillZimoLiao/scholaraio576—~237Automated safety check: PassMIT
Content Research Writerweapp-tailwindcss/weapp-tailwindcss1.9k25 repos~3.5kAutomated safety check: PassMIT
NetworkxzLanqing/codex-claude-academic-skills4.6k16 repos~3.2kAutomated safety check: PassBSD-3-Clause
Citation Verification GuideGalaxy-Dawn/claude-scholar5.7k3 repos~1.9kAutomated safety check: PassMIT
Systematic Review ScreenerImbad0202/academic-research-skills51k—~8.4kAutomated safety check: PassCustom licence
Literature Reviewneflibata-feng/MyArxiv-Agent12621 repos~5.9kAutomated safety check: NotesMIT

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  • Bioinformatics

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Questions about Graph

What does Graph do?

A skill your agent uses when the user asks about citation relationships, references, citing papers, shared references, bibliographic overlap, or graph-style paper connections. Graph is an agent skill from ZimoLiao/scholaraio. Use when the user asks about citation relationships, references, citing papers, shared references, bibliographic overlap, or graph-style paper connections.

When should I use Graph?

Graph fits situations like: the user asks about citation relationships; shared references; bibliographic overlap; graph-style paper connections.

How do I install Graph in Claude Code?

Run `npx skills add ZimoLiao/scholaraio --skill graph -a claude-code`. Or copy the skill folder (.claude/skills/graph in ZimoLiao/scholaraio) into .claude/skills/graph in your project. Claude Code loads it when a task matches its description.

How do I install Graph in Codex?

Run `npx skills add ZimoLiao/scholaraio --skill graph -a codex`. Or copy the skill folder (.claude/skills/graph in ZimoLiao/scholaraio) into .agents/skills/graph in your project. Codex loads it when a task matches its description.

Can I use Graph in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ZimoLiao/scholaraio --skill graph -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/graph, .gemini/skills/graph, .github/skills/graph and .opencode/skills/graph in your project.

What does Graph need to run?

SKILL.md names no scripts, command-line tools or credentials: Graph is instructions for the agent only.

Does Graph access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Graph safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Graph use?

Graph is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Graph use?

About 237 tokens (SKILL.md is roughly 948 characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Graph?

Skills that share tags, products or a category with Graph: Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars), Networkx (zLanqing/codex-claude-academic-skills, 4.6k stars), Citation Verification Guide (Galaxy-Dawn/claude-scholar, 5.7k stars) and Systematic Review Screener (Imbad0202/academic-research-skills, 51k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Graph?

ZimoLiao (a GitHub user) maintains it in ZimoLiao/scholaraio, which has 576 GitHub stars. The repository holds 43 skills in this directory. The repository was last updated on September 25, 2026.

Source: ZimoLiao/scholaraio on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.