xhs-article-to-images

xhs-article-to-images is a skill for Claude Code, Codex from Pluviobyte/rnskill. It costs 238 tokens per session (2,451 once invoked), scanned A, original, no licence file.

A workflow for turning a Markdown article into a set of 3:4 Xiaohongshu images, sized at 1080×1440 pixels. Xiaohongshu is a Chinese social platform where people commonly share image posts.

In plain words
What is it for?
It helps create image-based posts from long articles, including card sets in selected visual styles such as minimalist, warm, dark, feminine, or animation-inspired designs.
Why use it?
It handles splitting the article into pages, laying out the text, and exporting each page as a PNG image.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit It helps create image-based posts from long articles, including card sets in selected visual styles such as minimalist, warm, dark, feminine, or animation-inspired designs.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pluviobyte/rnskill/xhs-article-to-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 Pluviobyte/rnskill --skill xhs-article-to-images
Clone the repo
git clone --depth 1 https://github.com/Pluviobyte/rnskill

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 xhs-article-to-images

README.md
[![agentmods](https://agentmods.dev/badge/skills/pluviobyte/rnskill/xhs-article-to-images/github.svg)](https://agentmods.dev/skills/pluviobyte/rnskill/xhs-article-to-images)
Your own site
<a href="https://agentmods.dev/skills/pluviobyte/rnskill/xhs-article-to-images"><img src="https://agentmods.dev/badge/skills/pluviobyte/rnskill/xhs-article-to-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 xhs-article-to-images

Your own site · 80×15
<a href="https://agentmods.dev/skills/pluviobyte/rnskill/xhs-article-to-images"><img src="https://agentmods.dev/badge/skills/pluviobyte/rnskill/xhs-article-to-images.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 238 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,451 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium MCP Rug Pull · line 81
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
How audits are shown
Origin unknown 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 $0.00238 $0.02451
Opus 5 $0.00119 $0.01226
Sonnet 5 $0.00048 $0.00490
Haiku 4.5 $0.00024 $0.00245

Measured 9d ago against content hash d0daa79e412a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

xhs-article-to-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 9d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/_gen-fem.cjs, scripts/init-task.cjs, scripts/render.cjs), 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/xhs-article-to-images/SKILL.md · 109 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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. 9d ago First seen · 109 lines · 238 tokens per session scan A d0daa79e412a

Subscribe to this mod's changes

xhs-article-to-images is a skill published in the GitHub repository Pluviobyte/rnskill (1,538 stars, last pushed 10d ago), with no licence file. It adds 238 tokens to every session and 2,451 once invoked, about $0.0012 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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