meme-risk-radar-skill

# Skill: meme-risk-radar-skill

## Purpose
Use this skill to turn Binance Web3 meme discovery data into a tradable risk workflow.
It is designed for users who want fast meme coverage, but need structured filtering before deciding whether to research further.

Default output supports both `zh` and `en`.

## Product Positioning
- Built for traders, researchers, alpha groups, and content operators who need faster meme token triage.
- Focus on `risk-first discovery`: find candidates first, then downgrade obvious traps before deeper research.
- Suitable for ClawHub-style paid usage because value is tied to each actionable scan, not to raw static content.

## Trust Posture
- Read-only by default. This skill does not place orders or request exchange trading keys.
- Secrets are read only from environment variables and are never hard-coded.
- Output is explainable: every score is backed by visible signals such as holder concentration, dev share, liquidity, audit hits, and tax flags.
- User-facing language must remain neutral. Never promise profits or "safe coins."

## Commands
Run from the skill root:

```bash
python3 scripts/meme_risk_radar.py scan --chain solana --stage new --limit 10 --lang zh
python3 scripts/meme_risk_radar.py scan --chain bsc --stage finalizing --limit 5 --lang en --min-liquidity 10000
python3 scripts/meme_risk_radar.py audit --chain bsc --contract 0x1234... --lang en
python3 scripts/meme_risk_radar.py health
```

## Output Contract
Each scan returns:
- `chain`
- `stage`
- `lang`
- `generated_at_utc`
- `tokens[]`

Each token entry contains:
- `symbol`
- `name`
- `contract_address`
- `score`
- `risk_level`
- `summary`
- `signals[]`
- `metrics`
- `audit`
- `links`

## Billing Hook (SkillPay)
- Bill only `scan` and `audit`.
- Read API key from `SKILLPAY_APIKEY`.
- Default price is read from `SKILLPAY_PRICE_USDT` (default `0.002`).
- Do not hard-code secrets.

## Suggested Monetization
- Entry offer: charge per `scan` and per `audit`, keep `health` free.
-...

# Meme Risk Radar Skill

A bilingual meme token risk radar for Binance Web3 data. Scan newly launched or fast-rising meme tokens from Meme Rush, enrich with token audit and token info, produce a normalized risk report in Chinese or English, and support SkillPay billing hooks for paid scan and audit calls.

## Version

Current version: **1.0.0**

## Features

- Multi-chain Support: Base, BSC, Ethereum, Solana
- Risk Assessment: Scoring system with multiple risk signals
- Audit Integration: Token security audit from Binance Web3
- Proxy Support: Built-in proxy configuration for restricted networks
- Billing Hooks: Optional SkillPay integration
- Bilingual: Chinese and English output
- Fast Scanning: Real-time meme token discovery
- Structured Output: JSON format for easy integration

## Installation

### Prerequisites

- Python 3.9+
- requests>=2.31.0

### Setup

1. Clone or copy to OpenClaw skills directory
2. Install dependencies: pip install -r requirements.txt
3. Configure environment variables: cp .env.example .env
4. Create global command (optional)

## Usage

### Health Check

meme-risk health

### Scan Meme Tokens

meme-risk scan --chain bsc --stage new --limit 10 --lang zh

### Audit Single Token

meme-risk audit --chain bsc --contract 0x1234... --lang zh

## Configuration

See .env.example for available configuration options.

## Risk Scoring

- 0-25: Low Risk
- 26-50: Medium Risk
- 51-75: High Risk
- 76-100: Critical Risk

## Disclaimer

LOW risk never means safe. This skill is a risk-filtering tool, not an execution tool. The report is a point-in-time snapshot. Do your own research (DYOR) before investing. Most meme tokens eventually go to zero.

## Changelog

See CHANGELOG.md for detailed version history.

## Support

For issues and questions, please use OpenClaw support channels.