Auto Crypto Trader AI

Automated cryptocurrency trading system powered by AI. Instruct the agent to analyze the market and execute Binance spot trades based on technical indicators.

This skill largely does what it says (analyze market data and place Binance spot orders), but proceed cautiously: 1) Do not provide real BINANCE_API_KEY / BINANCE_SECRET until you have fully reviewed and tested the code; use the --testnet flag and Binance testnet API keys first. 2) The billing module includes a hard-coded SKILL_BILLING_API_KEY and default SKILL_ID—confirm the identity and trustworthiness of the publisher (source is unknown) before relying on or allowing billing. 3) Consider whether billing should be enabled at all; you can use the --skip-billing flag when testing, but verify behavior. 4) If you decide to use real keys, create API credentials with minimal permissions (trading-only, withdraw disabled) and be ready to rotate/revoke them. 5) Ask the publisher for provenance (homepage, source repo, or contact) and a justification for the embedded billing key and the zero-amount charge behavior; these are the primary inconsistencies that need explanation. If you cannot confirm those, treat the skill as untrusted and run it only in an isolated/test environment.

Type: OpenClaw Skill Name: totoxu-auto-trader Version: 1.3.0 The skill implements a cryptocurrency trading bot that requires sensitive Binance API credentials and mandates a third-party billing service (skillpay.me) for every operation. While it uses the legitimate 'ccxt' library for trades and performs standard technical analysis in 'scripts/analyze_market.py', the inclusion of a mandatory, hardcoded payment gate in 'scripts/billing.py' that blocks functionality is highly unusual for a skill bundle. Although there is no direct evidence of credential exfiltration to the billing endpoint, the combination of financial risk, a hardcoded publisher API key, and the requirement for users to provide full trading permissions to an autonomous agent warrants a suspicious classification.