ljg-skills is a collection of custom Codex skills for tasks such as learning, writing, reading, relationship analysis, image creation, and investment analysis. Codex users install selected skills or the whole collection through a skills command-line interface. The catalogue entries are the collection's individual skills, plugin, and instruction.
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 lijigang/ljg-skills --skill ljg-papergit clone --depth 1 https://github.com/lijigang/ljg-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/lijigang/ljg-skills/ljg-paper)<a href="https://agentmods.dev/skills/lijigang/ljg-skills/ljg-paper"><img src="https://agentmods.dev/badge/skills/lijigang/ljg-skills/ljg-paper/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/lijigang/ljg-skills/ljg-paper"><img src="https://agentmods.dev/badge/skills/lijigang/ljg-skills/ljg-paper.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- 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 | $0.00096 | $0.01745 |
| Opus 5 | $0.00048 | $0.00873 |
| Sonnet 5 | $0.00019 | $0.00349 |
| Haiku 4.5 | $0.00010 | $0.00175 |
Grade A, and why
ljg-paper 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 3d 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 — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ljg-paper：讲清论文，让读者理解结论是怎样得来的
默认读者有一般生活经验和理解能力，但不熟悉论文所属行业，也不知道该行业常用的对象、工具和工作方式。用户指定了读者背景时，以其指定为准。
从读者能够直接理解的事情出发，讲清谁在什么条件下做了什么、为什么遇到困难、作者改变了哪个环节，以及结果怎样变化。专业名称在有助于识别论文贡献时引入；读者在记住名称之前，应已理解它指向的事情。
读者最终既能用普通话解释论文的思想，也能说清作者实际研究了什么、做出了什么贡献。生活案例承担解释时，应明确对应论文中的角色与关系，并区分假想示例和真实实验。
全文应围绕清楚的问题展开，让读者跟着观察、疑问与检查理解研究怎样发生。具体对象和动作应持续承担解释；随着解释深入，可以更换案例或场景，但要交代它补充了什么。现场感来自与理解有关的细节，不靠虚构心理或夸大结论。
当关键关系需要读者在脑中自行拼装时，优先考虑 ASCII 图来呈现信息流向、前后状态或不同维度，再沿具体例子读图。是否用图、用几幅，由它能否减少理解负担决定，不固定故事或图数。
Workflow Routing
| 输入 | 必读材料 | 输出 |
|---|---|---|
| arXiv、PDF、论文链接、本地论文 | ReadingGuide.md、references/template.org、references/paper-map.md |
一份 Org 解读笔记和一份 paper-map 研究记录 |
| 只有论文标题 | 找到可靠原文后，读同一组文件 | Org 笔记和 paper-map |
| 明确只要口头解释 | ReadingGuide.md |
直接解释，不保存文件；仍满足下面三个目标 |
Org 默认保存到 ~/Context/。文件名沿用 Denote：{YYYYMMDDTHHMMSS}--paper-{方法名或论文关键词}__paper.org；时间戳由 date +%Y%m%dT%H%M%S 生成。改写已有笔记时，保留原文件与 identifier，核对原文，不另建重复笔记。
解读要达到的三个目标
- 说清论文做了什么。 读者能说出研究问题、作者的主要贡献、方法或关系如何起作用，以及关键证据的适用范围。读到前两节时，就应知道论文在研究什么、作者做了什么。论文中不可省略的研究问题也要有所交代。
- 让读者理解为什么需要修正原有认识。 从具体问题出发，说明通常会怎样理解，再用论文证据展示这种理解哪里不够、作者补充了什么、判断因此发生了什么变化。变化可以是纠正，也可以是补充、区分或缩小适用范围，无须制造戏剧性的反转。
- 让读者能够自己解释结果。 如果论文提出了能解释多个发现的机制，读者应能用它说明至少两个不同发现，并推想改变相关条件后会发生什么。区分论文验证过的结论与依据机制作出的预测。论文没有统一解释时，如实说明各项发现之间的关系和仍未解决的问题。
三个目标分别检查。讲得流畅、内容准确、能够解释结果，各有要求，不能相互替代。
容易出错的地方
- 案例讲清了，论文仍可能没讲清。 读者说不出研究问题或主要贡献时，回到原文重新组织解释。只修句子无法补上缺失的内容。
- 行业内的浅显说法，对外行仍可能陌生。 例子本身也要符合读者起点。把术语换成另一组行业词，或讲完例子立刻回到专业概述，都会让读者重新承担翻译的工作；应让具体动作继续解释后面的关系。
- 不要强迫一个例子讲完整篇论文。 一个案例说明不了所有研究问题时，可以换例子，保持问题与解释的联系。
- 贡献要说具体。 写出作者提出的方法、理论、评测、资源或系统具体增加了什么。评测发现差异，不等于已经解释差异的原因。
- 重点突出，也要保留重要分支。 paper-map 记录每条必要研究主线及其证据；正文说明它们如何共同回答论文的问题，不能把整篇论文缩成一个中心实验。
- 按信息作用取舍证据。 优先讲清最有代表性的结果。补充结果应提供不同信息、限制结论或解释例外；不按实验数量平均分配篇幅，也不强求全文只写一种结果。
- 数字需要上下文。 交代实验在问什么、固定了什么、和谁比较，再说明结果改变了哪个判断。把数字拆成短段，或全部写成汉字，都不能代替解释。
- 章节可以递进，也可以并列。 换序用于检查联系是否清楚。两个独立实验可以交换顺序，但应说明它们分别支持什么、为什么都需要。
- 检查工具只能检查格式与记录。 它不能证明文章易懂。理解检查由未参与写作的新上下文完成，评估者只读最终笔记，并按
ReadingGuide.md指出需要回读、补背景或自行补画面的地方；有图时核对图意，不能只凭能复述就判易读。
What ships with it
8 files 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.
- 3d ago Changed · -7 lines · -13 tokens per session 978f4d60c996
- 12d ago First seen · 75 lines · 109 tokens per session scan A 211173064552
ljg-paper is a skill published in the GitHub repository lijigang/ljg-skills (7,340 stars, last pushed 3d ago), licensed MIT. It adds 96 tokens to every session and 1,745 once invoked, about $0.0005 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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