xhs-md2picConvert Markdown text to beautiful Xiaohongshu (XHS) style card images with 5 themes, deterministic browser screenshot rules, auto-pagination, smart title ex...
Install via ClawdBot CLI:
clawdbot install zhang122994917/xhs-md2picGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://dashscope.aliyuncs.com/api/v1/services/aigc/text2image/image-synthesisCalls external URL not in known-safe list
https://...Uses known external API (expected, informational)
googleapis.comAI Analysis
The skill's external API call to dashscope.aliyuncs.com is consistent with its stated purpose of AI-generated decorative backgrounds and is documented as requiring the DASHSCOPE_API_KEY environment variable. There is no evidence of credential harvesting, hidden instructions, or obfuscation of malicious behavior.
Generated Mar 17, 2026
Social media influencers and bloggers can convert long-form articles or guides into visually appealing Xiaohongshu-style card images to share as multi-post series, enhancing engagement and readability on platforms like XHS, Instagram, or WeChat. This helps maintain brand consistency with themed visuals and automates the creation of shareable content from existing Markdown notes or drafts.
Educators and online course creators can transform lesson plans, study notes, or tutorial content into structured card images for easy distribution to students via messaging apps or learning management systems. The deterministic pagination ensures complex topics are broken into digestible pages with consistent formatting, ideal for mobile learning and visual aids.
Developers and technical writers can convert Markdown-based documentation, API guides, or project reports into high-quality images for presentations, internal sharing, or client deliverables. The support for code blocks and themes like monokai makes it suitable for tech-focused content, while auto-pagination handles lengthy documents reliably.
E-commerce businesses and sellers can create product descriptions, feature lists, or promotional content as styled card images to post on social platforms like Xiaohongshu, driving traffic and sales. The AI-generated backgrounds and customizable themes allow for branded visuals that highlight product details in an engaging, scrollable format.
Companies can use this skill to convert internal memos, policy updates, or training materials into standardized card images for employee newsletters or intranet posts, ensuring consistent branding and readability across teams. The deterministic screenshot rules guarantee uniform output for professional use, even with varied content lengths.
Offer a cloud-based service where users pay a monthly or annual fee to access the Markdown-to-image conversion tool with advanced features like AI backgrounds, custom themes, and high-volume rendering. Revenue can be tiered based on usage limits, such as number of images generated or storage for OSS uploads, targeting content creators and businesses.
Provide an API that developers can integrate into their applications to generate XHS-style card images programmatically, charging per API call or based on bandwidth usage. This model caters to tech companies needing scalable image generation for user-generated content, with revenue from pay-as-you-go pricing and enterprise contracts.
License the skill as a white-label product to other platforms, such as social media management tools, CMS providers, or marketing agencies, allowing them to rebrand and offer image conversion as part of their services. Revenue comes from one-time licensing fees or ongoing royalties based on client usage, leveraging the skill's deterministic output for reliability.
💬 Integration Tip
Ensure the DASHSCOPE_API_KEY is securely configured for AI background generation, and optimize browser screenshot settings like viewport size to maintain consistent output quality across different environments.
Scored Jun 15, 2026
Audited Apr 16, 2026 · audit v1.0
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