anti-seo-researcher
Anti-SEO deep consumer research tool. When a user wants to buy a product or make a consumer decision, use this Skill. Automatically detects user language and adapts to regional platforms and search strategies. Works with or without web_search — gracefully degrades to built-in Bing scraping when web_search is unavailable.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/amoshc/anti-seo-researcherWhat This Skill Does
The anti-seo-researcher is a specialized AI agent skill designed to bypass the 'SEO-polluted' search results that often plague modern shopping and consumer research. Conventional search engines are frequently flooded with affiliate-driven 'best of' lists that prioritize revenue over quality. This tool uses a sophisticated, multi-platform approach to find genuine user feedback, independent discussions, and real-world 'avoid-these' warnings.
By automatically detecting your language and regional context, the skill curates research strategies tailored to your location. It operates in two modes: a high-performance 'Full Mode' (utilizing native web search tools) and a robust 'Fallback Mode'. If your system lacks active search API keys, the skill intelligently switches to internal scraping scripts using DuckDuckGo and Bing, ensuring that your research never hits a roadblock. This ensures you get authentic, unfiltered perspectives from forums, niche communities, and user-led discussion boards rather than recycled corporate content.
Installation
To integrate this skill into your OpenClaw environment, execute the following command in your terminal:
clawhub install openclaw/skills/skills/amoshc/anti-seo-researcher
Use Cases
- Product Comparisons: Moving beyond marketing copy to find actual technical flaws or long-term durability issues.
- Regional Consumer Advice: Searching for products based on availability and cultural sentiment in specific geographic markets (e.g., finding top-rated localized alternatives).
- Anti-Buying Research: Proactively seeking out 'how to avoid getting scammed' or 'reasons not to buy' content for high-ticket items like electronics, appliances, or software subscriptions.
- Trend Validation: Determining whether a popular product is genuinely good or if it is merely the result of a coordinated influencer marketing campaign.
Example Prompts
- "I am looking to buy a new ergonomic chair for my home office, but I keep seeing the same paid ads. Can you use the anti-seo-researcher to find real complaints from Reddit or V2EX about chairs in the $300-$500 range?"
- "I'm considering the latest flagship phone but want to know if there are any known screen issues or common defects. Please research independent forums and avoid affiliate review sites."
- "What are the most reliable home espresso machines in the European market according to actual user feedback? Please filter out promotional content."
Tips & Limitations
- Leverage Fallback Mode: Do not worry if you do not have an API key for search providers. The built-in fallback scripts are highly optimized for speed and reliability, often delivering better data for specific forum-based queries.
- Specificity: The skill excels when you provide specific contexts (e.g., 'no influencers', 'from forums', or 'looking for hardware defects').
- Integration: For the best results, ensure your environment has
web_fetchenabled so the agent can read the depth of forum threads once found. If performance lags, the skill will automatically attempt to minimize round-trips by combining searching and fetching where possible.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-amoshc-anti-seo-researcher": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: network-access, code-execution