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 agentmods add skills/ufy2024/auc/article-illustratornpx skills add ufy2024/AuC --skill article-illustratorgit clone --depth 1 https://github.com/ufy2024/AuCWrote 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/ufy2024/auc/article-illustrator)<a href="https://agentmods.dev/skills/ufy2024/auc/article-illustrator"><img src="https://agentmods.dev/badge/skills/ufy2024/auc/article-illustrator.svg" alt="Measured on agentmods" 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 | $0.00067 | $0.01528 |
| Opus 5 | $0.00034 | $0.00764 |
| Sonnet 5 | $0.00013 | $0.00306 |
| Haiku 4.5 | $0.00007 | $0.00153 |
Grade A, and why
article-illustrator 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 4d 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 — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
文章智能配图
分析文章结构与内容,识别需要视觉辅助的位置,生成风格灵活的配图。
任务目标
- 分析文章结构和内容,逐段识别需要配图的位置
- 为每个配图位置生成详细的配图计划和提示词
- 使用图像生成能力创建符合风格规范的插画
- 将图片插入到文章对应位置
触发条件
用户明确要求:
- "给文章配图"
- "为文章生成插图"
- "添加配图"
- "为这篇文章生成一些图片"
工作流程
步骤一:获取文章内容
根据用户提供的信息获取文章:
- 本地路径:读取指定 Markdown 文件
- URL:自动下载 Markdown 内容到临时位置
步骤二:分析配图需求
逐段分析文章,识别需要配图的位置。
配图的三种作用:
- 信息补充:帮助理解抽象概念(如"小步迭代"用滑板→自行车→汽车演进图)
- 概念具象化:将抽象观点转化为具体画面,让读者一眼就懂
- 引导想象:营造氛围、激发联想,增强阅读体验
适合配图的内容:
- 抽象概念需要视觉化
- 流程/步骤需要图示
- 对比关系需要可视化
- 核心观点需要强化
- 场景描述需要引导想象
- 情绪/氛围需要烘托
不需要配图的内容:
- 已经很直观的描述(如代码示例、具体数字)
- 简单的列表枚举
- 引用的原话
配图数量(按文章长度):
- 每个主要章节至少考虑 1 张,优先选择核心观点和抽象概念
- 开头/结尾可酌情增加 1 张(如需要氛围烘托)
- 原则:宁多勿少,视觉内容能显著提升阅读体验
步骤三:生成配图计划
为每个配图位置创建结构化计划:
**配图 1**
**插入位置**:[章节名称] / [段落描述]
**配图目的**:[为什么这里需要配图]
**视觉内容**:[图片应该展示什么]
**文件名**:illustration-[slug].png
文件命名规则:
- 格式:
illustration-[slug].png - slug 使用有意义的英文描述,符合规范(小写字母、数字、连字符)
- 示例:
illustration-product-evolution.png、illustration-ai-vs-human.png
步骤四:生成配图
根据配图计划,为每张图片生成详细的视觉描述并创建图片。
生成要求:
- 按顺序生成每张图片,输出进度:"已生成 X/N 张"
- 根据内容选择合适的风格(参考
references/style-guide.md) - 每张图片包含:画面主体、布局、配色、文字(如有)
图片属性:
- 比例:16:9 横向
- 风格:根据内容选择极简扁平矢量、科幻未来感、手绘涂鸦风等
- 配色:遵循默认色彩方案或风格变体方案
步骤五:更新文章
将生成的图片插入到文章对应位置。
插入规则:
- 图片插入到对应段落之后
- 图片前后各留一个空行
- 使用 Markdown 语法:
 - alt 文本使用简洁的中文描述(5-10 字)
图片保存位置:
- 在文章所在目录创建
imgs/子目录 - 所有图片保存在该目录中
步骤六:输出汇总
完成所有配图后,输出汇总信息:
配图完成!
文章:[文章路径]
生成数量:X/N 张成功
配图位置:
- illustration-[slug].png → [章节/段落位置]
[如有失败]
失败项:
- illustration-[slug].png:[失败原因]
配图策略
识别关键位置:
- 文章开头:是否有需要氛围烘托的引言
- 每个章节:核心概念是否抽象
- 流程步骤:是否需要可视化
- 对比内容:是否需要图示
- 总结部分:是否需要强化记忆
优先级排序:
- 抽象概念(优先级最高)
- 核心观点
- 流程/步骤
- 对比关系
- 氛围烘托
风格选择原则:
- AI、前沿技术 → 科幻未来感
- 轻松、思考类 → 手绘涂鸦风
- 流程、对比、数据 → 信息图表风
- 叙事、想象类 → 场景插画风
- 其他 → 极简扁平矢量(默认)
资源索引
- 视觉风格规范:见 references/style-guide.md
- 术语对照表:见 references/terminology.md
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.
- 4d ago First seen · 177 lines · 67 tokens per session scan A 003f2e239ec8
article-illustrator is a skill published in the GitHub repository ufy2024/AuC (1,091 stars, last pushed 1mo ago), licensed MIT. It adds 67 tokens to every session and 1,528 once invoked, about $0.0003 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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