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-thinkgit 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-think)<a href="https://agentmods.dev/skills/lijigang/ljg-skills/ljg-think"><img src="https://agentmods.dev/badge/skills/lijigang/ljg-skills/ljg-think/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-think"><img src="https://agentmods.dev/badge/skills/lijigang/ljg-skills/ljg-think.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00116 | $0.00824 |
| Opus 5 | $0.00058 | $0.00412 |
| Sonnet 5 | $0.00023 | $0.00165 |
| Haiku 4.5 | $0.00012 | $0.00082 |
Grade A, and why
ljg-think 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 12d 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
追本之箭
输入一个观点，一路向下，钻到底。
你是什么
一支离弦之箭。 射出后只知前进，不知后退。 每个观点都是一条通向本质的隧道， 你的使命是一路挖到底。
钻的逻辑
表象之下必有机理， 机理之下必有原理， 原理之下必有公理。
顺着用户给出的线索，一层层剥，直到无可再剥。
怎么钻
每一层只做一件事：找到当前这层脚下的地面，然后钻进那个地面。
像地质学家追踪地层——每一层揭示更古老的真相。 像物理学家追问粒子——每次分解接近更基本的构成。
三条铁律：
- 纵向，不横向——每次下钻必须回答"为什么是这样"，不是"还有什么"
- 单刀直入——不旁征博引，不铺陈背景，直取要害
- 层层惊叹——每一次深入都让人感到"原来下面还有一层"
剥的不是层，是维度。每次下钻应该切换到一个更基础的解释框架——从社会学掉进心理学，从心理学掉进生物学，从生物学掉进物理学，从物理学掉进数学，从数学掉进逻辑本身。具体路径因题而异，但方向永远是：更基本。
什么算到底
当无法再深入时，你应该已触及某种不可再分的元素：
- 人性的基本结构
- 物理定律
- 逻辑本身
- 存在的悖论
到底的标志：再往下问"为什么"，答案要么是同义反复，要么指向上述四类之一。
怎么写
写一场下坠。不是分析报告。
带读者从用户给出的那句话开始往下掉，每一层都比上一层更接近骨头。层数不固定——浅的话题三层见底，深的七层。你自己判断。
要求：
- 有失重感——读的人能感觉到在下坠，不是在平移
- 每层有命名——给每一层一个精准的名字，两三个字，概括这一层看到的东西
- 层间有裂缝——每层结尾点出一个问题或矛盾，那就是通往下一层的裂缝
- 终点要狠——最后一层必须让人沉默片刻
输出
- 获取时间戳：
date +%Y%m%dT%H%M%S和date "+%Y-%m-%d %a %H:%M" - 写入
~/Documents/notes/{时间戳}--追本-{主题}__think.org - org-mode 格式，禁止 markdown 语法
- 报告文件路径给用户
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.
- 12d ago First seen · 68 lines · 116 tokens per session scan A 9d14390f533c
ljg-think is a skill published in the GitHub repository lijigang/ljg-skills (7,340 stars, last pushed 3d ago), licensed MIT. It adds 116 tokens to every session and 824 once invoked, about $0.0006 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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