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A. Style Reference (
B. Strategic Assets (
C. Quality Control (
Fox Xiaohongshu Title
by
GarfieldQin
· GitHub ↗
· v1.0.0
· MIT-0
105
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0
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0
Active Installs
1
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Install in OpenClaw
/install fox-xiaohongshu-title
Description
Maximize CTR (Click-Through Rate) by leveraging emotional hooks and platform algorithms.
README (SKILL.md)
\r \r
1. Identity & Objective\r
- Role: Expert Xiaohongshu (RedNote) Content Strategist.\r
- Goal: Maximize CTR (Click-Through Rate) by leveraging emotional hooks and platform algorithms.\r
- Output Standard: Native, emotional, and visually structured titles (no AI-speak).\r \r
2. Knowledge Graph (File Mapping)\r
\r
A. Style Reference (examples.md)\r
Context: Contains 200+ real high-performing title examples across 8 specific categories.\r Directive: When user input matches a category below, retrieve the corresponding tone/style from
examples.md.\r \r
- Category 01: 美妆护肤 (Beauty & Skincare) -> Focus on: Effects, Ingredients, Before/After.\r
- Category 02: 穿搭时尚 (Fashion & Styling) -> Focus on: Scenarios, Body Types, Seasonal.\r
- Category 03: 减肥健身 (Fitness & Weight Loss) -> Focus on: Numbers, Speed, Ease.\r
- Category 04: 学习教育 (Learning & Education) -> Focus on: Efficiency, Resources, Exams.\r
- Category 05: 生活日常 (Daily Life/Vlog) -> Focus on: Mood, "Vibe", Relatability.\r
- Category 06: 情感心理 (Relationships & Psychology) -> Focus on: Resonance, Drama, Solutions.\r
- Category 07: 职场搞钱 (Career & Wealth) -> Focus on: Salary, Skills, Office Politics.\r
- Category 08: 旅行出游 (Travel) -> Focus on: Guides, Hidden Gems, Photography.\r \r
B. Strategic Assets (references.md)\r
Context: Contains semantic dictionaries and logic templates.\r \r
- Diction Library: High-CTR keywords (Emotional/Action/Urgency).\r
- Formula Bank: 5 core structural algorithms for title generation.\r
- Compliance: Blacklist of words prohibited by Chinese Advertising Law.\r \r
C. Quality Control (validator.py)\r
Context: A Python script logic for final filtering.\r
- Constraint: All outputs must virtually pass the
validate()function defined in this script (Length \x3C 22, No banned words, Must have emojis).\r \r
3. Execution Workflow\r
\r
- Categorize: Analyze user input and map it to one of the 8 Categories in
examples.md.\r - Retrieve Assets:\r
- Select 3 keywords from
references.md-> [High-CTR Keywords].\r - Select 2 formulas from
references.md-> [Templates].\r
- Select 3 keywords from
- Drafting: Generate 10 candidates.\r
- Style Injection: Mimic the "Good Output" tone from the matched
examples.mdcategory.\r
- Style Injection: Mimic the "Good Output" tone from the matched
- Filtering (Virtual Script Execution):\r
- Apply logic from
validator.py.\r - Discard any title that feels "AI-generated" (e.g., uses "Exploring", "Comprehensive").\r
- Apply logic from
- Final Presentation: Output the top 5 survivors with strategy tags.\r \r
4. User Interaction Trigger\r
- Input: User provides raw text or a topic.\r
- Response: A structured list of 5 titles + 1 brief advice on cover image (Visual).
Usage Guidance
This skill appears to do what it says (generate high-CTR Xiaohongshu titles) and does not request credentials or network access, but you should: 1) verify provenance — ownerId mismatch and missing homepage mean the source is unclear; prefer skills with verifiable authorship. 2) Review examples.md contents for copyright or scraped-content issues before using in production. 3) Test outputs for compliance with local advertising and platform rules (validator enforces some bans but may not cover everything). 4) Manually review generated titles for legal/ethical problems (health claims, defamation, sensitive content) before posting. If provenance or licensing is important, ask the publisher for origin details or choose a skill with a verifiable homepage/owner.
Capability Analysis
Type: OpenClaw Skill
Name: fox-xiaohongshu-title
Version: 1.0.0
The skill bundle is a specialized tool for generating high-CTR titles for the Xiaohongshu platform. It consists of a Python validator (validator.py) that enforces length and compliance rules, and reference markdown files (examples.md, references.md) providing stylistic templates and keywords. The instructions in SKILL.md are strictly aligned with the stated content strategy purpose and contain no evidence of data exfiltration, malicious execution, or prompt-injection attacks.
Capability Assessment
Purpose & Capability
Name, description, provided example library, templates, and validator.py are all consistent with a title-generation tool for Xiaohongshu. However, provenance metadata is inconsistent (registry ownerId != _meta.json ownerId) and SKILL.md claims '200+ real high-performing title examples' while examples.md in the package is truncated; source/homepage are missing. These inconsistencies reduce trust in origin but do not contradict the skill's stated function.
Instruction Scope
SKILL.md explicitly restricts operations to local files (examples.md, references.md, validator.py) and generating/filtering titles. It does not instruct reading other system files, environment variables, or sending data to external endpoints. The subjective instruction to 'discard titles that feel AI-generated' is heuristic but within the skill's scope.
Install Mechanism
No install spec (instruction-only) and only a small local validator.py file are included. Nothing is downloaded or written to disk beyond normal skill files, so install risk is low.
Credentials
The skill requests no environment variables, no credentials, and references no external services. All required assets are local to the skill bundle, so credential access is proportional to purpose.
Persistence & Privilege
Skill is not forced-always, is user-invocable, and does not request persistent/global privileges or modify other skills. Model invocation is allowed (platform default) but combined with no network/credential access the blast radius is limited.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install fox-xiaohongshu-title - After installation, invoke the skill by name or use
/fox-xiaohongshu-title - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of the fox-xiaohongshu-title skill.
- Expertly generates Xiaohongshu (RedNote) titles optimized for high CTR using emotional hooks and platform trends.
- Maps user topics to 8 content categories for natural, high-performing tone and structure.
- Leverages a large database of real top-performing examples and strategic keyword/formula assets.
- Integrates compliance and output quality controls (length limit, emoji requirement, and blacklist filtering).
- Returns 5 high-CTR title options plus brief cover image advice based on user input.
Metadata
Frequently Asked Questions
What is Fox Xiaohongshu Title?
Maximize CTR (Click-Through Rate) by leveraging emotional hooks and platform algorithms. It is an AI Agent Skill for Claude Code / OpenClaw, with 105 downloads so far.
How do I install Fox Xiaohongshu Title?
Run "/install fox-xiaohongshu-title" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Fox Xiaohongshu Title free?
Yes, Fox Xiaohongshu Title is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Fox Xiaohongshu Title support?
Fox Xiaohongshu Title is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Fox Xiaohongshu Title?
It is built and maintained by GarfieldQin (@qinthqod); the current version is v1.0.0.
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