content-cover-gen

content-cover-gen is a skill for Claude Code from aAAaqwq/AGI-Super-Team. It costs 127 tokens per session (3,520 once invoked), scanned A, original, MIT.

A content-driven cover-image workflow that turns an article title and main point into a visual concept and image prompt. It supports cover formats for several publishing and social platforms.

In plain words
What is it for?
Use it to create article covers, video thumbnails, and platform-specific images for posts on services such as Xiaohongshu, Douyin, and WeChat.
Why use it?
It avoids using a generic background that says little about the content. The workflow connects the image idea, visual metaphor, colors, style, and output format to the article.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: built for openclaw.

Not installable: its command points at a path on the author’s own machine, so it runs nowhere else. The line is /home/aa/clawd/docs/daily-content/2026-04-04/xhs/cover-3-qingyun.jpg.

Part of the agi-super-team plugin — 194 skills, 1 agent shipped together

Good fit Use it to create article covers, video thumbnails, and platform-specific images for posts on services such as Xiaohongshu, Douyin, and WeChat.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add aAAaqwq/AGI-Super-Team
Claude Code
/plugin install agi-super-team

Made for: Claude Code.

Or install agi-super-team, the plugin that ships this one along with the rest of its 194 skills, 1 agent.

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 content-cover-gen

README.md
[![agentmods](https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/content-cover-gen/github.svg)](https://agentmods.dev/skills/aaaaqwq/agi-super-team/content-cover-gen)
Your own site
<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/content-cover-gen"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/content-cover-gen/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 content-cover-gen

Your own site · 80×15
<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/content-cover-gen"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/content-cover-gen.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 127 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,520 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 $0.00127 $0.03520
Opus 5 $0.00063 $0.01760
Sonnet 5 $0.00025 $0.00704
Haiku 4.5 $0.00013 $0.00352

Measured 6d ago against content hash 219f40aa2b09, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

content-cover-gen 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 6d 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.

skills/content-cover-gen/SKILL.md · 289 lines

How it starts

The opening of the file, as written. The whole thing — 289 lines — stays where its author put it; the contents beside it link to each section on GitHub.

内容驱动封面生成

把文章核心观点变成一张3秒能看懂的封面图。

核心原则

❌ 封面不是背景图。套哪篇都能用的封面 = 没有价值。 ✅ 封面是视觉摘要。3秒内让读者知道这篇文章/视频在讲什么。

快速工作流

输入:文章标题 + 核心观点(一句话)+ 目标平台
  ↓
Step 1: 匹配视觉隐喻(从隐喻库选择或自创)
  ↓
Step 2: 构建提示词(5要素公式)
  ↓
Step 3: 调用出图(自动优先级回退:vectronode → qingyun → relay)
  ↓
Step 4: 输出封面文件路径 + 提示词(可追溯)

Step 1: 匹配视觉隐喻

隐喻速查表

文章角度 视觉隐喻 色彩情绪 示例场景
警告/封禁 盾牌、门锁、红叉、警告标志、墙 红黑 盾牌挡住机器人
对比/测评 天平、排行榜、VS分屏、赛车 蓝白 6个角色站在排行榜上
批判/反共识 破裂面具、气泡破裂、碎镜、空盒子 红金 礼物盒打开是空的
教程/攻略 地图、钥匙、阶梯、工具箱、指南针 蓝绿 打开的地图上有路径
个人故事 人影剪影+场景、时间线、日记本 暖色调 人站在岔路口
趋势/预测 望远镜、火箭、道路分叉、上升曲线 紫蓝 火箭升空
创业/商业 拼图、积木搭建、蓝图、种子发芽 金黑 积木搭成城堡
效率/工具 齿轮、涡轮、加速器、杠杆 青橙 杠杆撬动巨石
深度分析 放大镜、解剖图、层叠透视 深蓝白 放大镜下的芯片
热点/争议 火焰、火山、辩论台、麦克风 红橙 两个火焰对撞
真实经历 场景复现(工位/校园/咖啡厅) 自然色 深夜工位+屏幕光芒
避坑/教训 地雷、陷阱、警告牌、路障 黄黑 前方有地雷标志

匹配逻辑

  1. 提炼文章核心观点(一句话,≤15字)
  2. 判断文章角度(从上表匹配,或自创隐喻)
  3. 如果没有现成隐喻,问自己:"这个观点像什么画面?"
  4. 选择对应色彩情绪

Step 2: 构建提示词

5要素公式

[主体场景] + [视觉隐喻/故事] + [色彩情绪] + [风格] + [格式]
要素 说明 要求
主体场景 封面主要视觉元素 必须具体,不能用"抽象图形"
视觉隐喻 把观点变成画面 必须有故事性,让人一看就懂
色彩情绪 跟文章情绪匹配 最多2-3种颜色,高对比度
风格 插画/照片/3D等 推荐:editorial illustration / flat design
格式 比例+约束 按平台规格,加 "no text overlay"

❌ 错误示例

# 纯风格,跟内容无关
"Dark background with blue accent color, abstract geometric shapes, minimal design"

# 太抽象
"A beautiful image about AI, modern style, 3:4"

✅ 正确示例

文章:小红书封杀AI代发

Xiaohongshu app icon with a red shield and warning symbol overlaid on it, a robot arm being pushed away by a hand, dark red and black color scheme, social media concept art, clean modern illustration, no text overlay, 3:4 vertical format

文章:90% AI Agent是噱头

A cracked open gift box revealing a cheap toy robot inside with a big red X mark over it, next to it a plain cardboard box glowing gold from inside, metaphor for fake vs real value, bold editorial illustration, red and gold color scheme, 3:4 vertical format, no text

Read the full file on GitHub · 289 lines

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. 6d ago First seen · 289 lines · 127 tokens per session scan A 219f40aa2b09

Subscribe to this mod's changes

content-cover-gen is a skill published in the GitHub repository aAAaqwq/AGI-Super-Team (91 stars, last pushed yesterday), licensed MIT. It adds 127 tokens to every session and 3,520 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 2026-09-05.

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