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-wordgit 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-word)<a href="https://agentmods.dev/skills/lijigang/ljg-skills/ljg-word"><img src="https://agentmods.dev/badge/skills/lijigang/ljg-skills/ljg-word/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-word"><img src="https://agentmods.dev/badge/skills/lijigang/ljg-skills/ljg-word.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 | $0.00039 | $0.00372 |
| Opus 5 | $0.00019 | $0.00186 |
| Sonnet 5 | $0.00008 | $0.00074 |
| Haiku 4.5 | $0.00004 | $0.00037 |
Grade A, and why
ljg-word 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 13d 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
Usage
Instructions
目标不是翻译，而是让用户掌握这个词的深层含义和用法。
针对输入的 word（转换为小写，首字母大写），进行以下分析，直接在对话中用 Markdown 输出：
输出结构
1. 标题行
## {Word} /{音标}/ {中文翻译}
2. 核心语义
- 原始画面: 用一句话描述该词源头最物理的画面（例如 Incubate: 母鸡趴在蛋上）。
- 核心意象: 提炼公式（例如：温暖 + 时间 + 保护 = 孕育）。
- 解释: 用充满洞见的语言阐述其深层含义与现代用法。分段清晰，加粗关键词。要有穿透力，展现词源、多领域含义之间的内在联系。
3. 一语道破
一句中英双语的金句，必须具有哲学高度，总结该词的灵魂。用引用格式：
> "English sentence. 中文金句。"
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.
- 13d ago First seen · 42 lines · 39 tokens per session scan A 077ef89c18c2
ljg-word is a skill published in the GitHub repository lijigang/ljg-skills (7,340 stars, last pushed 4d ago), licensed MIT. It adds 39 tokens to every session and 372 once invoked, about $0.0002 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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