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-paper-analysisgit 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-paper-analysis)<a href="https://agentmods.dev/skills/leonchaox/qinyan-academic-skills/qinyan-paper-analysis"><img src="https://agentmods.dev/badge/skills/leonchaox/qinyan-academic-skills/qinyan-paper-analysis/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-paper-analysis"><img src="https://agentmods.dev/badge/skills/leonchaox/qinyan-academic-skills/qinyan-paper-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 26 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00076 | $0.01046 |
| Opus 5 | $0.00038 | $0.00523 |
| Sonnet 5 | $0.00015 | $0.00209 |
| Haiku 4.5 | $0.00008 | $0.00105 |
Grade A, and why
qinyan-paper-analysis 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 — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
沁言学术 - 论文分析
概述
本技能通过沁言学术OpenAPI的论文分析接口，对单篇学术论文进行深度分析解读。系统会获取论文内容（通过PDF、网页或摘要），生成结构化的研究分析报告，包括研究目标、方法论、主要发现和研究限制。
学术诚信声明： 分析结果基于论文实际内容生成，不会捏造或猜测论文中未包含的信息。如无法获取完整论文内容，将基于可获取的信息（如摘要）进行有限分析，并明确告知用户分析的局限性。
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"
API接口
接口地址： https://api.qinyanai.com/v1/paper-search/analyze
请求参数
| 参数 | 类型 | 必填 | 说明 |
|---|---|---|---|
| title | string | 是 | 论文标题（1-1024字符） |
| authors | string[] | 是 | 作者列表 |
| abstract | string | 否 | 论文摘要（最长10000字符） |
| doi | string | 否 | DOI标识符 |
| source_url | string | 否 | 论文页面URL |
| pdf_url | string | 否 | PDF直链（优先级最高） |
| language | string | 否(默认"中文") | 输出语言："中文" 或 "en" |
注意： abstract、source_url、pdf_url 至少需提供其一，以便系统获取论文内容。pdf_url 优先级最高，能获得最完整的分析结果。
使用方法
通过 scripts/analyze.sh 脚本调用：
bash scripts/analyze.sh '<json_payload>'
示例
基本分析（通过DOI）：
bash scripts/analyze.sh '{"title": "Attention Is All You Need", "authors": ["Ashish Vaswani", "Noam Shazeer", "Niki Parmar"], "doi": "10.48550/arXiv.1706.03762", "language": "中文"}'
通过PDF链接分析：
bash scripts/analyze.sh '{"title": "BERT: Pre-training of Deep Bidirectional Transformers", "authors": ["Jacob Devlin"], "pdf_url": "https://arxiv.org/pdf/1810.04805.pdf", "language": "中文"}'
通过摘要分析：
bash scripts/analyze.sh '{"title": "论文标题", "authors": ["作者1", "作者2"], "abstract": "本文提出了...", "language": "中文"}'
英文输出：
bash scripts/analyze.sh '{"title": "Paper Title", "authors": ["Author1"], "doi": "10.xxxx/xxxxx", "language": "en"}'
返回结果
API返回结构化分析结果：
{
"success": true,
"message": "Paper analysis completed successfully",
"paper_title": "论文标题",
"analysis": {
"研究目标": "提出一种新的...",
"方法论": "设计了...",
"主要发现": "实验结果表明...",
"研究限制": "本研究主要在...方面存在局限"
}
}
输出格式
向用户呈现分析结果时，按以下结构组织：
- 论文基本信息
- 标题、作者、DOI等
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 · 114 lines · 76 tokens per session scan A 0296a7c4867e
qinyan-paper-analysis is a skill published in the GitHub repository LeonChaoX/qinyan-academic-skills (884 stars, last pushed 1mo ago), licensed MIT. It adds 76 tokens to every session and 1,046 once invoked, about $0.0004 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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