rednote-convert

A conversion workflow for turning Markdown articles into Xiaohongshu, also called RedNote, posts with titles, images, slides, and hashtags.

In plain words
What is it for?
Use it to divide an article into sections, create vertical image slides and a cover, and write the accompanying short post.
Why use it?
It adapts ordinary articles to a social platform that uses image-based posts and short captions.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/binary-husky/alphaautoresearch/rednote
Any agent
npx skills add binary-husky/AlphaAutoResearch --skill rednote
Clone the repo
git clone --depth 1 https://github.com/binary-husky/AlphaAutoResearch

Made for: Claude Code, Codex.

Per session 100 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 569 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00100 $0.00569
Opus 5 $0.00050 $0.00284
Sonnet 5 $0.00020 $0.00114
Haiku 4.5 $0.00010 $0.00057

Measured 2d ago against content hash 0073b34e3d77, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

rednote-convert 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 2d 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.

alpha_auto_research/skills/writing/rednote/SKILL.md · 47 lines

What it actually says

Markdown文章转小红书

概述

中间和结果文件都放置在 ${rednote_root} = ${源Markdown文件所在路径}/rednote

小红书生成分为 4 步

  1. 生成标题

    • 一般沿用Markdown文章的标题即可
  2. 生成封面

    • 见 alpha_auto_research/skills/writing/rednote_cover/SKILL.md
    • 见 alpha_auto_research/skills/banana_image/SKILL.md
  3. 生成长文(这个过程比较复杂,请按照以下步骤执行) 3-1. 对文章的分区,然后对每个分区进行摘要,注意摘要还要包含对分区中所包含的图片的描述。生成 ${rednote_root}/partitions.md 3-2. 每个分区都转化为 4:3 的竖屏图片

  4. 生成正文短文 (带关键词hashtag)

写作约束(严格执行)

禁止

  1. 绝对不使用任何形式的项目符号或编号列表(不用 *、-、1.2.3. 等列表形式)
  2. 不使用破折号(——)
  3. 禁用"A而且B"的对仗结构
  4. 尽量避免使用冒号(:),用句号代替
  5. 开头不用设问句
  6. 一句话只表达一个完整意思
  7. 每段不超过3句话
  8. 避免嵌套从句和复合句
  9. 所有内容都用自然段落呈现,用"第一"、"第二"、"第三"等词语自然串联

改写策略

  1. 长句拆短:把复合句拆成多个简单句
  2. 术语翻译:把专业词汇翻译成大白话
  3. 增加温度:适当加入个人感受和真实体验
  4. 逻辑清晰:用"第一、第二、第三"标注顺序
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. 2d ago First seen · 47 lines · 100 tokens per session scan A 0073b34e3d77

Subscribe to this mod's changes

rednote-convert is a skill published in the GitHub repository binary-husky/AlphaAutoResearch (11 stars, last pushed 3mo ago), licensed MIT. It adds 100 tokens to every session and 569 once invoked, about $0.0005 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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