Borrowing it
Nothing to install: this file belongs to ZimoLiao/scholaraio. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ZimoLiao/scholaraio/main/.claude/skills/graph/SKILL.mdgit clone --depth 1 https://github.com/ZimoLiao/scholaraioWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/zimoliao/scholaraio/graph)<a href="https://agentmods.dev/skills/zimoliao/scholaraio/graph"><img src="https://agentmods.dev/badge/skills/zimoliao/scholaraio/graph.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00029 | $0.00401 |
| Opus 5 | $0.00015 | $0.00200 |
| Sonnet 5 | $0.00006 | $0.00080 |
| Haiku 4.5 | $0.00003 | $0.00040 |
Grade A, and why
graph scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
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
scholaraio refs "<paper-id>" [--ws NAME]
查看谁引用了此论文
scholaraio citing "<paper-id>" [--ws NAME]
共同参考文献分析
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>"
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 52 lines · 29 tokens per session scan A c43d789cebe7
graph is a skill published in the GitHub repository ZimoLiao/scholaraio (569 stars, last pushed 8d ago), licensed MIT. It adds 29 tokens to every session and 401 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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