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zhy-article-illustrator

zhy-article-illustrator is a skill for Claude Code, Codex from zhylq/yuan-skills. It costs 43 tokens per session (4,051 once invoked), scanned A, original, MIT.

A workflow for planning and generating polished editorial images for Markdown articles, with a shared visual style and image prompts for each section.

In plain words
What is it for?
Use it to identify where images are useful, create diagrams or editorial scenes for concepts and processes, generate the images through supported Gemini-based services, and optionally upload them to Qiniu Cloud.
Why use it?
It turns article structure and key ideas into a consistent set of illustrations instead of unrelated decorative images.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 35repo 7mo ago A scan 43 tokens original MIT

Good fit Use it to identify where images are useful, create diagrams or editorial scenes for concepts and processes, generate the images through supported Gemini-based services, and optionally upload them to Qiniu Cloud.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zhylq/yuan-skills/zhy-article-illustrator
View source ↗ zhylq/yuan-skills
Install

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.

Any agent
npx skills add zhylq/yuan-skills --skill zhy-article-illustrator
Clone the repo
git clone --depth 1 https://github.com/zhylq/yuan-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for zhy-article-illustrator

README.md
[![agentmods](https://agentmods.dev/badge/skills/zhylq/yuan-skills/zhy-article-illustrator/github.svg)](https://agentmods.dev/skills/zhylq/yuan-skills/zhy-article-illustrator)
Your own site
<a href="https://agentmods.dev/skills/zhylq/yuan-skills/zhy-article-illustrator"><img src="https://agentmods.dev/badge/skills/zhylq/yuan-skills/zhy-article-illustrator/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.

agentmods 80×15 button for zhy-article-illustrator

Your own site · 80×15
<a href="https://agentmods.dev/skills/zhylq/yuan-skills/zhy-article-illustrator"><img src="https://agentmods.dev/badge/skills/zhylq/yuan-skills/zhy-article-illustrator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,051 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00043 $0.04051
Opus 5.5 $0.00017 $0.01620
Sonnet 5.5 $0.00009 $0.00810
Haiku 4.5 $0.00004 $0.00405

Measured 2mo ago against content hash 49611d43878e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

zhy-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 2mo ago.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/illustrate-article.ts, scripts/image-gen.ts, scripts/plan-illustrations.ts, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/zhy-article-illustrator/SKILL.md · 361 lines

How it starts

The opening of the file, as written. The whole thing — 361 lines — stays where its author put it; the contents beside it link to each section on GitHub.

zhy-article-illustrator

Purpose

为任意 Markdown 文章自动规划并生成配图。技能默认采用“高完成度编辑视觉”作为 全局质量基线：不是简单插画，不是装饰图标拼贴，也不是低信息密度草图。系统会先 为文章生成统一的 visual bible，再为每张图生成结构化提示词，使同一篇文章的配图 共享统一风格语言，同时根据章节内容调整构图、信息重点和版式。

默认优先兼容 Gemini Nano Banana 工作流，并默认走 Xiaomi Gemini 兼容接口；同时支持 Gemini 原生代理 / 中转站模式与官方 Gemini 接口。

When to Use

  • 用户请求“为文章配图”、“illustrate article”、“add images to article”
  • zhy-wechat-writing 技能的 Step 6 调用（with_illustrations=true）
  • 用户希望生成更适合公众号场景的高完成度专题视觉
  • 用户希望将本地图片上传到七牛云获取 CDN URL

Prerequisites

  • 文章 Markdown 文件已存在
  • 已配置至少一种可用生图通道：
    • Gemini 官方直连：GEMINI_API_KEY 或 GOOGLE_API_KEY
    • Gemini 原生代理 / 中转站：IMAGE_PROVIDER=gemini、IMAGE_API_KEY、可选 IMAGE_BASE_URL
    • Xiaomi Gemini 兼容接口：IMAGE_PROVIDER=xiaomi 或 XIAOMI_API_KEY，可选 XIAOMI_BASE_URL
    • 若启用上传：七牛云配置已就绪（技能根目录 .env 中的 QINIU_ACCESS_KEY / QINIU_SECRET_KEY / QINIU_BUCKET / QINIU_DOMAIN）

Workflow

Step 1: 分析文章

目标：理解文章结构，确定配图数量、位置与表达方式

操作：

  1. 读取 article_path 的完整内容
  2. 解析文章结构：标题、各章节标题（## / ###）、段落数、代码块位置
  3. 识别核心信息点：
    • 关键概念 / 术语解释 -> 适合信息图
    • 对比 / 差异描述 -> 适合对比图
    • 步骤 / 流程描述 -> 适合流程图
    • 架构 / 框架描述 -> 适合架构图
    • 数据 / 统计 -> 适合数据可视化
    • 场景 / 叙事描述 -> 适合专题插画或编辑场景图
  4. 根据 density 确定配图策略：
    • minimal：仅为最核心的 1-2 个信息点配图
    • balanced：每个 ## 级主要章节配一张图
    • rich：每 300 字左右或每个重要段落配一张图
  5. 确定 slug：
    • 若用户提供 slug：直接使用
    • 否则从文章 H1 标题推导 kebab-case
  6. 创建输出目录：{article_dir}/illustrations/{slug}/

输出：文章结构分析结果、配图位置列表

Step 2: 生成 visual bible 与配图规划

目标：为整篇文章建立统一视觉基线，并生成每张图的规划信息

操作：

  1. 先生成文章级 visual_bible，保存到 {article_dir}/illustrations/{slug}/visual-bible.md
  2. visual_bible 必须覆盖：
    • quality_baseline：统一采用高完成度编辑视觉 / 专题配图标准
    • visual_theme：本篇文章的整体风格方向
    • color_system：主色、辅色、强调色、背景倾向
    • graphic_language：图形语言、线条/材质/光感、信息层级方式
    • layout_discipline：页面留白、模块密度、标题区与内容区节奏
    • text_policy：默认简体中文；仅 english_terms_whitelist 中的术语保留英文
    • negative_rules：禁止简单画图、低幼卡通、无意义装饰、英文乱码、随意混搭风格
  3. 再对每个配图位置生成 outline 条目，至少包含：
    • position：插入位置（在哪个章节/段落之后）
    • purpose：这张图要传达什么信息
    • image_type：对比图 / 流程图 / 架构图 / 数据图 / 场景图 / 编辑专题视觉
    • core_message：本图唯一核心表达
    • content_blocks：画面中必须出现的内容块
    • text_blocks：图中需要出现的标题、标签、注释（默认中文）
    • english_terms_used：本图允许出现的英文术语子集
    • layout_hint：布局方向与信息分区
    • filename：输出文件名（格式：NN-简短描述.png）
    • alt_text：Markdown 图片的 alt 文本
  4. 保存到 {article_dir}/illustrations/{slug}/outline.md
  5. 同时为每张图生成独立提示词文件，保存到 {article_dir}/illustrations/{slug}/prompts/

Read the full file on GitHub · 361 lines

Files

What ships with it

10 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.

Changes

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.

  1. 2mo ago First seen · 361 lines · 43 tokens per session scan A 49611d43878e

Subscribe to this mod's changes

zhy-article-illustrator is a skill published in the GitHub repository zhylq/yuan-skills (35 stars, last pushed 7mo ago), licensed MIT. It adds 43 tokens to every session and 4,051 once invoked, about $0.0002 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.

Creative and mediaWriting and docsagentaiarticle-generatorskillwechat
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