Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add LeonChaoX/qinyan-academic-skills --skill qinyan-citationgit clone --depth 1 https://github.com/LeonChaoX/qinyan-academic-skillsWrote 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/leonchaox/qinyan-academic-skills/qinyan-citation)<a href="https://agentmods.dev/skills/leonchaox/qinyan-academic-skills/qinyan-citation"><img src="https://agentmods.dev/badge/skills/leonchaox/qinyan-academic-skills/qinyan-citation/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/leonchaox/qinyan-academic-skills/qinyan-citation"><img src="https://agentmods.dev/badge/skills/leonchaox/qinyan-academic-skills/qinyan-citation.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00101 | $0.02123 |
| Opus 5 | $0.00051 | $0.01061 |
| Sonnet 5 | $0.00020 | $0.00425 |
| Haiku 4.5 | $0.00010 | $0.00212 |
Grade A, and why
qinyan-citation scanned grade A with 1 finding 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 9d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
2. 环境中可用 `curl` 和 `python3` How it starts
The opening of the file, as written. The whole thing — 220 lines — stays where its author put it; the contents beside it link to each section on GitHub.
沁言学术 - 文献引用
概述
本技能通过沁言学术OpenAPI检索文献元数据，并按照用户指定的标准格式生成规范的引用参考文献。支持GB/T 7714、IEEE、APA、MLA、Chicago、Harvard等主流引用格式。
学术诚信声明（极其重要）：
- 所有引用信息必须来自实际检索到的文献元数据
- 严禁捏造或猜测任何引用信息（包括卷号、期号、页码、DOI等）
- 如检索结果中缺少某些字段（如卷号、期号、页码），必须使用省略号(...)或[缺失]标注，绝不可编造
- 建议用户核实引用信息的完整性和准确性
前置条件
使用前请确保：
- 已设置
QINYAN_API_KEY环境变量（前往 https://platform.qinyanai.com/ 申请） - 环境中可用
curl和python3
export QINYAN_API_KEY="your-api-key-here"
工作流程
第一步：检索文献
根据用户提供的信息（论文标题、作者、关键词等），使用 scripts/search.sh 检索文献获取完整元数据。
bash scripts/search.sh <source> '<json_payload>'
数据源选择策略：
- 中文文献：优先 万方(wanfang)
- 英文文献：优先 Google Scholar(google)
- 医学文献：优先 PubMed(pubmed)（query需为英文）
- 计算机/理工：优先 ArXiv(arxiv)（query需为英文）
各数据源参数：
| 数据源 | 命令 | 核心参数 |
|---|---|---|
| Google Scholar | bash scripts/search.sh google '<json>' |
query, max_results(≤20), author, journal |
| 万方 | bash scripts/search.sh wanfang '<json>' |
query, max_results(≤100) |
| PubMed | bash scripts/search.sh pubmed '<json>' |
query(英文), max_results(≤200) |
| ArXiv | bash scripts/search.sh arxiv '<json>' |
query(英文), max_results(≤100), author |
第二步：提取元数据
从检索结果中提取引用所需的元数据字段：
- 作者(authors)
- 标题(title)
- 期刊/会议名称(journal/venue)
- 发表年份(year)
- 卷号(volume)
- 期号(issue/number)
- 页码(pages)
- DOI
- URL
- 出版社(publisher)
第三步：生成标准引用格式
根据用户指定的格式标准，生成规范引用。缺失字段必须保留标注，不可编造。
支持的引用格式
1. GB/T 7714（中国国家标准）
适用于中文学术论文、学位论文。
期刊论文格式：
[序号] 作者1, 作者2, 作者3, 等. 论文标题[J]. 期刊名, 年份, 卷(期): 起始页-终止页.
示例：
[1] 张三, 李四, 王五. 深度学习在医学影像中的应用研究[J]. 计算机学报, 2023, 46(3): 512-528.
缺失信息示例：
[1] 张三, 李四. 深度学习在医学影像中的应用研究[J]. 计算机学报, 2023, ...: ...
会议论文格式：
[序号] 作者. 论文标题[C]//会议名称. 出版地: 出版者, 年份: 起始页-终止页.
学位论文格式：
[序号] 作者. 论文标题[D]. 学校所在地: 学校名称, 年份.
电子文献格式：
[序号] 作者. 标题[EB/OL]. (发表日期)[引用日期]. URL.
2. IEEE
适用于电气工程、计算机科学领域。
[序号] 作者缩写, "论文标题," 期刊名(斜体), vol. 卷号, no. 期号, pp. 起始页–终止页, 月份 年份, doi: DOI.
示例：
[1] A. Vaswani et al., "Attention is all you need," in Proc. Advances in Neural Information Processing Systems (NeurIPS), 2017, pp. 5998–6008.
缺失信息示例：
[1] A. Vaswani et al., "Attention is all you need," in Proc. NeurIPS, 2017, pp. ...
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 220 lines · 101 tokens per session scan A a8838983b6e8
qinyan-citation is a skill published in the GitHub repository LeonChaoX/qinyan-academic-skills (884 stars, last pushed 1mo ago), licensed MIT. It adds 101 tokens to every session and 2,123 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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