baoyu-xhs-images

baoyu-xhs-images is a skill for Claude Code from aAAaqwq/AGI-Super-Team. It costs 84 tokens per session (4,873 once invoked), scanned A, a copy of baoyu-xhs-images, MIT.

An infographic generator for Xiaohongshu, also called Little Red Book or RedNote, a Chinese social media platform. It turns written content into a series of 1–10 cartoon-style images using different visual styles and layouts.

In plain words
What is it for?
Use it to create Xiaohongshu infographic series from a file or pasted text, with optional visual styles and information layouts.
Why use it?
It removes the need to manually split an article into image-sized sections and design each social media card. It helps present complex information in a format suited to Xiaohongshu posts.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: names the AskUserQuestion tool.

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

Good fit Use it to create Xiaohongshu infographic series from a file or pasted text, with optional visual styles and information layouts.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aaaaqwq/agi-super-team/baoyu-xhs-images
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 aAAaqwq/AGI-Super-Team --skill baoyu-xhs-images
Clone the repo
git clone --depth 1 https://github.com/aAAaqwq/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 baoyu-xhs-images

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/baoyu-xhs-images"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/baoyu-xhs-images.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 84 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,873 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 100% copy Near-identical to another mod 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 $0.00084 $0.04873
Opus 5 $0.00042 $0.02436
Sonnet 5 $0.00017 $0.00975
Haiku 4.5 $0.00008 $0.00487

Measured 7d ago against content hash 2b4d18619fa6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

baoyu-xhs-images 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 7d 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.

Origin

This is a copy

100% identical to baoyu-xhs-images — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/baoyu-xhs-images/SKILL.md · 495 lines

How it starts

The opening of the file, as written. The whole thing — 495 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Xiaohongshu Infographic Series Generator

Break down complex content into eye-catching infographic series for Xiaohongshu with multiple style options.

Usage

# Auto-select style and layout based on content
/baoyu-xhs-images posts/ai-future/article.md

# Specify style
/baoyu-xhs-images posts/ai-future/article.md --style notion

# Specify layout
/baoyu-xhs-images posts/ai-future/article.md --layout dense

# Combine style and layout
/baoyu-xhs-images posts/ai-future/article.md --style notion --layout list

# Direct content input
/baoyu-xhs-images
[paste content]

# Direct input with options
/baoyu-xhs-images --style bold --layout comparison
[paste content]

Options

Option Description
--style <name> Visual style (see Style Gallery)
--layout <name> Information layout (see Layout Gallery)

Two Dimensions

Dimension Controls Options
Style Visual aesthetics: colors, lines, decorations cute, fresh, warm, bold, minimal, retro, pop, notion, chalkboard, study-notes
Layout Information structure: density, arrangement sparse, balanced, dense, list, comparison, flow, mindmap, quadrant

Style × Layout can be freely combined. Example: --style notion --layout dense creates an intellectual-looking knowledge card with high information density.

Style Description
cute (Default) Sweet, adorable, girly - classic Xiaohongshu aesthetic
fresh Clean, refreshing, natural
warm Cozy, friendly, approachable
bold High impact, attention-grabbing
minimal Ultra-clean, sophisticated
retro Vintage, nostalgic, trendy
pop Vibrant, energetic, eye-catching
notion Minimalist hand-drawn line art, intellectual
chalkboard Colorful chalk on black board, educational
study-notes Realistic handwritten photo style, blue pen + red annotations + yellow highlighter

Read the full file on GitHub · 495 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. 7d ago First seen · 495 lines · 84 tokens per session scan A 2b4d18619fa6

Subscribe to this mod's changes

baoyu-xhs-images is a skill published in the GitHub repository aAAaqwq/AGI-Super-Team (92 stars, last pushed yesterday), licensed MIT. It adds 84 tokens to every session and 4,873 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to baoyu-xhs-images, differing in 0 lines, and is treated as a copy.

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