Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add wpsnote/wpsnote-skills/plugin install content-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/wpsnote/wpsnote-skills/literature-reader)<a href="https://agentmods.dev/skills/wpsnote/wpsnote-skills/literature-reader"><img src="https://agentmods.dev/badge/skills/wpsnote/wpsnote-skills/literature-reader/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/wpsnote/wpsnote-skills/literature-reader"><img src="https://agentmods.dev/badge/skills/wpsnote/wpsnote-skills/literature-reader.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00174 | $0.01627 |
| Opus 5.5 | $0.00070 | $0.00651 |
| Sonnet 5.5 | $0.00035 | $0.00325 |
| Haiku 4.5 | $0.00017 | $0.00163 |
Grade A, and why
literature-reader 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Literature Reader — 文献阅读与概要生成
指令
Step 1: 获取 PDF 内容
首选方式： 使用 Cursor 内置 Read 工具直接读取 PDF 文件。
Read tool → path: "/path/to/paper.pdf"
Read 工具会自动将 PDF 转换为文本。如果 PDF 过大被截断，分段读取：
Read tool → path: "/path/to/paper.pdf", offset: 1, limit: 200
Read tool → path: "/path/to/paper.pdf", offset: 201, limit: 200
备选方式： 若 Read 工具无法读取 PDF（返回空内容、乱码、严重截断），或遇到扫描件、复杂排版等情况，请查阅 PDF 文本提取指南 使用备选提取脚本。
快速使用：
pip3 install pdfplumber # 首次使用需安装
python3 ~/.cursor/skills/literature-reader/scripts/extract_pdf.py "/path/to/paper.pdf" --output /tmp/paper_text.txt
预期输出：终端显示 Extracted text saved to: /tmp/paper_text.txt，随后用 Read 工具读取该文件。完整参数说明、判断标准和故障排查见 references/pdf-extract.md。
Step 2: 内容分析
按以下维度逐一分析提取到的文本：
- 元信息提取 — 标题、作者、机构、发表年份、期刊/会议
- 研究问题识别 — 论文试图回答什么问题，解决什么痛点
- 方法论梳理 — 使用了什么研究方法、技术路线、实验设计
- 核心贡献归纳 — 论文的主要创新点和学术贡献（通常在 Introduction 末尾或 Abstract 中明确列出）
- 实验与结果 — 关键实验设置、数据集、指标、定量结果
- 局限性与未来方向 — 作者承认的不足、提出的后续工作
Step 3: 生成文献概要
使用模板生成结构化输出。模板见 summary-template.md。
输出格式为 Markdown 文件，文件名建议：[第一作者姓氏]_[年份]_[关键词缩写].md
Step 4: 质量检查
生成概要后进行自查：
- 元信息（标题、作者、年份）是否准确
- 研究问题是否清晰表述
- 方法描述是否抓住了核心技术路线而非细枝末节
- 核心贡献是否与论文 Abstract/Introduction 一致
- 关键数据和结论是否有具体数值支撑
- 个人评价是否客观且有理有据
特殊场景处理
批量文献阅读
当用户提供多篇论文时：
- 逐篇按上述流程处理
- 在最后额外输出一份 横向对比表，包含：标题、年份、方法、数据集、核心指标、主要贡献
- 简要说明各论文之间的关系（互补/竞争/递进）
横向对比表模板见 summary-template.md 底部。
特定章节深读
当用户只关心论文某一部分（如方法论、实验结果）时：
- 仅展开该部分的详细分析
- 其余部分保持一句话概述
- 对关键公式、算法伪代码进行解读
中文论文
中文论文使用中文输出概要。对中文论文中引用的英文术语，保留原文并在括号内标注，如：注意力机制（Attention Mechanism）。
输出规范
- 文献概要长度：1000–2000 字（视论文复杂度调整）
- 语言：与论文语言一致，或遵从用户指定语言
- 格式：Markdown，使用清晰的层级标题
- 关键术语首次出现时标注英文原文
- 数据和结论必须标注出处章节（如 "见 Table 3" "Section 4.2"）
示例
示例 1：单篇论文精读
用户说：「帮我读一下这篇论文 /Users/me/papers/attention.pdf」 操作：
- 使用 Read 工具读取 PDF 内容
- 按 Step 2 维度逐一分析
- 按模板生成完整文献概要 结果：输出结构化的 Markdown 概要文件
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.
- 1mo ago First seen · 143 lines · 174 tokens per session scan A 871af3c7682d
literature-reader is a skill published in the GitHub repository wpsnote/wpsnote-skills (183 stars, last pushed yesterday), licensed MIT. It adds 174 tokens to every session and 1,627 once invoked, about $0.0007 per session on Opus 5.5. 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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