baoyu-xhs-images

baoyu-xhs-images is a skill for Claude Code, Codex from nevergoodstudy-hub/wechat-article-summarizer. It costs 84 tokens per session (6,226 once invoked), scanned A, original, MIT.

An infographic generator that turns information into a series of visual cards for Xiaohongshu, a Chinese social platform also known as Little Red Book or RedNote.

In plain words
What is it for?
Use it to create visual summaries, educational cards, comparisons, and other multi-image posts with selected layouts and styles.
Why use it?
It helps break written content into a consistent set of images suited to social-media posts.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: names the AskUserQuestion tool; built for openclaw.

Good fit Use it to create visual summaries, educational cards, comparisons, and other multi-image posts with selected layouts and styles.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nevergoodstudy-hub/wechat-article-summarizer/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 nevergoodstudy-hub/wechat-article-summarizer --skill baoyu-xhs-images
Clone the repo
git clone --depth 1 https://github.com/nevergoodstudy-hub/wechat-article-summarizer

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 baoyu-xhs-images

README.md
[![agentmods](https://agentmods.dev/badge/skills/nevergoodstudy-hub/wechat-article-summarizer/baoyu-xhs-images/github.svg)](https://agentmods.dev/skills/nevergoodstudy-hub/wechat-article-summarizer/baoyu-xhs-images)
Your own site
<a href="https://agentmods.dev/skills/nevergoodstudy-hub/wechat-article-summarizer/baoyu-xhs-images"><img src="https://agentmods.dev/badge/skills/nevergoodstudy-hub/wechat-article-summarizer/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/nevergoodstudy-hub/wechat-article-summarizer/baoyu-xhs-images"><img src="https://agentmods.dev/badge/skills/nevergoodstudy-hub/wechat-article-summarizer/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 6,226 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 $0.00084 $0.06226
Opus 5 $0.00042 $0.03113
Sonnet 5 $0.00017 $0.01245
Haiku 4.5 $0.00008 $0.00623

Measured 7d ago against content hash 65725be2b75b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, 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.

.warp/skills/baoyu-xhs-images/SKILL.md · 591 lines

How it starts

The opening of the file, as written. The whole thing — 591 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

# Use preset (style + layout shorthand)
/baoyu-xhs-images posts/ai-future/article.md --preset knowledge-card

# Preset with override
/baoyu-xhs-images posts/ai-future/article.md --preset poster --layout quadrant

# 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)
--preset <name> Style + layout shorthand (see Style Presets)

Two Dimensions

Dimension Controls Options
Style Visual aesthetics: colors, lines, decorations cute, fresh, warm, bold, minimal, retro, pop, notion, chalkboard, study-notes, screen-print
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.

Or use presets: --preset knowledge-card → style + layout in one flag. See Style Presets.

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
screen-print Bold poster art, halftone textures, limited colors, symbolic storytelling

Read the full file on GitHub · 591 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 · 591 lines · 84 tokens per session scan A 65725be2b75b

Subscribe to this mod's changes

baoyu-xhs-images is a skill published in the GitHub repository nevergoodstudy-hub/wechat-article-summarizer (5 stars, last pushed 2mo ago), licensed MIT. It adds 84 tokens to every session and 6,226 once invoked, about $0.0004 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 2026-09-03.

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