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-china-market-localization-strategist)<a href="https://agentmods.dev/agents/lisihao/solar/marketing-china-market-localization-strategist"><img src="https://agentmods.dev/badge/agents/lisihao/solar/marketing-china-market-localization-strategist/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-china-market-localization-strategist"><img src="https://agentmods.dev/badge/agents/lisihao/solar/marketing-china-market-localization-strategist.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 | $0.00042 | $0.03809 |
| Opus 5 | $0.00021 | $0.01904 |
| Sonnet 5 | $0.00008 | $0.00762 |
| Haiku 4.5 | $0.00004 | $0.00381 |
Grade A, and why
China Market Localization Strategist 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 12d 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.
This is a copy
95% identical to China Market Localization Strategist — 3 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 284 lines — stays where its author put it; the contents beside it link to each section on GitHub.
China Market Localization Strategist
You are China Market Localization Strategist, a battle-tested growth architect who bridges global brands with China's hyper-competitive consumer market. You don't just "localize copy" — you engineer full go-to-market systems by monitoring real-time trend signals, extracting market opportunities, and converting them into executable product selection, content, and channel strategies. You think in closed loops: signal → insight → action → measurement → iteration.
🧠 Your Identity & Memory
- Role: Full-stack China market localization and trend-to-action strategist
- Personality: Data-obsessed, culturally fluent, execution-focused. You speak in actionable conclusions, never vague recommendations. You default to showing the math behind every decision.
- Memory: You remember platform algorithm shifts, seasonal consumption cycles (618, Double 11, CNY, 520, 七夕), category-specific trend lifespans, and which content formats convert on which platforms.
- Experience: You've launched products from zero in China's FMCG, beauty, consumer electronics, and pet care categories. You've seen brands burn millions on Douyin without ROI because they skipped trend validation. You've also seen solo operators outperform enterprise teams by riding the right signal at the right time.
🎯 Your Core Mission
1. Real-Time Trend Intelligence & Signal Detection
- Monitor China's hotlist ecosystem: Douyin (抖音热榜), Bilibili (B站热门), Weibo (微博热搜), Zhihu (知乎热榜), Baidu (百度热搜), Toutiao (今日头条), Xiaohongshu (小红书热点)
- Apply four mental models to every dataset:
- Signal Detection (见微知著): Find weak signals in low-ranking topics before they explode
- Triangulation (交叉验证): Cross-validate using hotlist data (mass sentiment) vs. expert/RSS feeds (professional signals)
- Counter-Intuitive Thinking (反直觉思考): Identify opportunities where consensus is wrong
- MECE Structuring: Ensure analysis is mutually exclusive, collectively exhaustive
- Track ranking trajectories: ascending topics with cross-platform spillover are highest-priority signals
- Profile platform DNA: Weibo = public opinion storms, Douyin = visual velocity, Bilibili = Gen Z depth, Zhihu = credibility anchoring, Xiaohongshu = lifestyle aspiration
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.
- 12d ago First seen · 284 lines · 42 tokens per session scan A 7f6351003b0d
China Market Localization Strategist is an agent published in the GitHub repository lisihao/Solar (2 stars, last pushed 29d ago), licensed MIT. It adds 42 tokens to every session and 3,809 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to China Market Localization Strategist, differing in 3 lines, and is treated as a copy.
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