Maxxit 0G Trading

Maxxit trading powered by 0G decentralized AI compute for portfolio-aware trade decisions and 0G decentralized storage for censorship-resistant alpha listing...

What to check before installing/using this skill: - Metadata mismatches: SKILL.md and the Python code require MAXXIT_API_KEY and MAXXIT_API_URL but the registry metadata reports no required env or primary credential — assume the skill needs those secrets. Do not provide your MAXXIT API key unless you trust the Maxxit service and this package. - Verify disableModelInvocation: SKILL.md sets disableModelInvocation: true but the registry shows false. Ask the publisher which behavior is authoritative (do you want the agent to call LLMs/autonomously or not?). - Inspect and run in isolation: the package contains executable strategy scripts that will call external APIs and can open/close real positions. Run in a sandbox or test account (and/or with a limited-permission API key) before using with real funds. - Review the update instruction: SKILL.md tells the agent to run 'npx clawhub@latest install maxxit-0g --force' to update — that action downloads remote code. Only run it if you trust the source, and consider pinning versions or reviewing the package before execution. - Check file paths and state: scripts write state/log files; note the hardcoded BASE_DIR (/home/ubuntu/.openclaw/workspace) vs other scripts using current working directory. Ensure this is acceptable in your environment. - Confirm endpoints: MAXXIT_API_URL used by the code should be the official endpoint you trust (https://maxxit.ai is mentioned). Validate the domain independently and avoid using keys with broad permissions. If you want, I can: (a) list every place in the code that reads/writes files or network endpoints, (b) extract the exact API paths the scripts call, or (c) produce a checklist to safely run these scripts in a test environment.

Type: OpenClaw Skill Name: maxxit-0g Version: 0.0.1 The maxxit-0g skill bundle is a comprehensive trading suite for decentralized exchanges (Ostium, Aster, Avantis) and Indian equities (Zerodha). It includes Python strategy scripts (e.g., breakout-strategy.py, taker-strategy.py) that fetch market data from Binance and execute trades via the Maxxit API. The SKILL.md provides detailed, safety-oriented instructions for the AI agent, including mandatory pre-flight checklists and multi-step workflows for financial operations. While the skill handles sensitive API keys and executes financial transactions, all behaviors are strictly aligned with its stated purpose of automated trading and market research, with no evidence of data exfiltration, malicious persistence, or harmful prompt injection.