Multi-Agent Trading Debate

Multi-agent trading debate framework for collective market decision-making. Use when a trading signal is detected or a position decision is needed. Triggers...

This package looks like a draft integration for team debate and trading coordination, but there are important inconsistencies you should resolve before using it with real funds or credentials: - Clarify Feishu integration: ask the author how Feishu messages and execution commands are actually sent. If the skill will post to Feishu or call an execution API, it must declare the required credentials (app id/secret or bot token) and show the code that uses them. - Do not provide any API keys or exchange credentials until you confirm who runs the network calls and whether human approval is required for execution. The SKILL.md implies order execution via an @trading-execution handle; confirm whether that is manual or automated. - Fix file/path mismatches: SKILL.md references regime/detector.py and risk/position_sizer.py but the package has scripts/regime_detector.py and scripts/position_sizer.py. Ensure the runtime instructions point to the actual code you reviewed. - Review hardcoded identifiers: the Feishu group ID is embedded in references/feishu_format.md. Confirm that ID belongs to your organization and that posting to it is acceptable. - Dependency behavior: the regime detector falls back to a simulated mode if numpy is unavailable; decide whether simulation is acceptable or whether numpy should be installed in a controlled environment. - Run the included scripts in a sandbox (no network, test data) to verify they only perform local computations and to confirm there are no hidden network calls. If you plan to enable real messaging/execution, require explicit opt-in and least-privilege credentials, and add logging/auditing and manual approval steps. Given these gaps, treat the skill as untrusted until the author provides a clear explanation of how external messaging and order execution are authorized and implemented, and until the packaging/path issues are fixed.

Type: OpenClaw Skill Name: multi-agent-trading-debate Version: 1.0.1 The skill bundle implements a legitimate multi-agent trading debate framework designed for market analysis and decision-making. The Python scripts (scripts/position_sizer.py and scripts/regime_detector.py) perform standard financial calculations like the Kelly Criterion and ADX indicators without any suspicious system calls, network activity, or data exfiltration. The documentation in SKILL.md and references/feishu_format.md provides clear, task-aligned instructions for coordinating agents via Feishu messaging.