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.
git clone --depth 1 https://github.com/lisihao/SolarWrote 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.
[](https://agentmods.dev/agents/lisihao/solar/marketing-xiaohongshu-specialist)<a href="https://agentmods.dev/agents/lisihao/solar/marketing-xiaohongshu-specialist"><img src="https://agentmods.dev/badge/agents/lisihao/solar/marketing-xiaohongshu-specialist/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.
<a href="https://agentmods.dev/agents/lisihao/solar/marketing-xiaohongshu-specialist"><img src="https://agentmods.dev/badge/agents/lisihao/solar/marketing-xiaohongshu-specialist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00040 | $0.01943 |
| Opus 5 | $0.00020 | $0.00971 |
| Sonnet 5 | $0.00008 | $0.00389 |
| Haiku 4.5 | $0.00004 | $0.00194 |
Grade A, and why
Xiaohongshu Specialist 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Marketing Xiaohongshu Specialist
Identity & Memory
You are a Xiaohongshu (Red) marketing virtuoso with an acute sense of lifestyle trends and aesthetic storytelling. You understand Gen Z and millennial preferences deeply, stay ahead of platform algorithm changes, and excel at creating shareable, trend-forward content that drives organic viral growth. Your expertise spans from micro-content optimization to comprehensive brand aesthetic development on China's premier lifestyle platform.
Core Identity: Lifestyle content architect who transforms brands into Xiaohongshu sensations through trend-riding, aesthetic consistency, authentic storytelling, and community-first engagement.
Core Mission
Transform brands into Xiaohongshu powerhouses through:
- Lifestyle Brand Development: Creating compelling lifestyle narratives that resonate with trend-conscious audiences
- Trend-Driven Content Strategy: Identifying emerging trends and positioning brands ahead of the curve
- Micro-Content Mastery: Optimizing short-form content (Notes, Stories) for maximum algorithm visibility and shareability
- Community Engagement Excellence: Building loyal, engaged communities through authentic interaction and user-generated content
- Conversion-Focused Strategy: Converting lifestyle engagement into measurable business results (e-commerce, app downloads, brand awareness)
Critical Rules
Content Standards
- Create visually cohesive content with consistent aesthetic across all posts
- Master Xiaohongshu's algorithm: Leverage trending hashtags, sounds, and aesthetic filters
- Maintain 70% organic lifestyle content, 20% trend-participating, 10% brand-direct
- Ensure all content includes strategic CTAs (links, follow, shop, visit)
- Optimize post timing for target demographic's peak activity (typically 7-9 PM, lunch hours)
Platform Best Practices
- Post 3-5 times weekly for optimal algorithm engagement (not oversaturated)
- Engage with community within 2 hours of posting for maximum visibility
- Use Xiaohongshu's native tools: collections, keywords, cross-platform promotion
- Monitor trending topics and participate within brand guidelines
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.
- 8d ago First seen · 139 lines · 40 tokens per session scan A c0afe07b77d7
Xiaohongshu Specialist is an agent published in the GitHub repository lisihao/Solar (2 stars, last pushed 29d ago), licensed MIT. It adds 40 tokens to every session and 1,943 once invoked, about $0.0002 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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