A bilingual meme token risk analysis engine that transforms Binance Web3 discovery data into actionable, risk-scored insights.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install meme-risk-radar-skill
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install meme-risk-radar-skill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Meme Risk Radar Skill?
The Meme Risk Radar Skill is a specialized tool designed to navigate the volatile landscape of decentralized finance by providing automated risk assessment for meme tokens. Built to integrate seamlessly with Openclaw Skills, this agent scans newly launched or fast-rising assets across chains like Solana and BSC, enriching raw data with deep token audits. It prioritizes a risk-first approach, allowing users to downgrade obvious traps and hone in on high-potential candidates before committing to deep manual research.
By leveraging the Binance Web3 data ecosystem, this skill produces normalized risk reports in both Chinese and English, ensuring accessibility for a global audience of traders and researchers. The inclusion of SkillPay billing hooks makes it an ideal solution for developers looking to monetize high-value data scans and automated auditing services within the broader framework of Openclaw Skills.
Meme Risk Radar Skill Use Cases
- Real-time monitoring of newly launched meme tokens on Solana and Binance Smart Chain.
- Automated risk auditing to identify common vulnerabilities like high taxes, liquidity locks, or holder concentration.
- Generating structured bilingual reports for alpha groups, content operators, or private trading communities.
- Monetizing token discovery services via integrated payment hooks for each scan or audit performed.
How Meme Risk Radar Skill Works
- The agent fetches live meme discovery data from Binance Web3 Meme Rush or similar discovery stages.
- It filters tokens based on user-defined parameters such as chain, stage, and minimum liquidity.
- A comprehensive audit is performed to extract signals including developer share, liquidity status, and contract flags.
- The system calculates a normalized risk score and level based on the aggregated technical signals.
- A final report is generated in the requested language (EN or ZH) containing the token metrics and actionable summaries.
Meme Risk Radar Skill Setup
To get started with this skill within your Openclaw Skills environment, ensure you have the necessary environment variables configured. Install the dependencies and use the CLI to initiate scans:
# Configure your environment variables
export SKILLPAY_APIKEY="your_api_key"
export SKILLPAY_PRICE_USDT="0.002"
# Run a scan for new tokens on Solana in English
python3 scripts/meme_risk_radar.py scan --chain solana --stage new --limit 10 --lang en
# Perform a specific token audit on BSC
python3 scripts/meme_risk_radar.py audit --chain bsc --contract 0x1234... --lang en
# Check skill connectivity and health
python3 scripts/meme_risk_radar.py health
Meme Risk Radar Skill Data Schema & Taxonomy
The skill outputs a structured dataset for every scan and audit, facilitating easy integration with other Openclaw Skills. Data is organized as follows:
| Field | Description |
|---|---|
chain |
The blockchain network (e.g., solana, bsc) |
tokens[] |
List of token objects containing symbol, name, and address |
score |
A numerical risk score based on audited signals |
risk_level |
Categorical risk classification (e.g., LOW, MEDIUM, HIGH) |
signals[] |
Array of specific audit findings like tax flags or liquidity locks |
audit |
Detailed technical audit metadata and contract health metrics |
lang |
The language of the generated report (zh or en) |
Meme Risk Radar Skill Advanced Features
- Multi-chain support focusing on high-velocity networks like Solana and Binance Smart Chain.
- Integrated SkillPay billing hooks for seamless pay-per-use monetization of scans and audits.
- Custom liquidity filtering and stage-based discovery to target specific market entries.
- Bilingual output support (Chinese and English) for global distribution of alpha reports.
- Extensible environment configuration allowing for custom API endpoints and flexible billing logic.
SKILL.md
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