Polymarket Optimizer

Automatic parameter optimizer for polymarket-executor. Reads performance_metrics.json every 6 hours, analyzes win rates and P&L per strategy, adjusts learned...

This skill appears to do what it says: read local executor metrics, compute adjustments, write learned_config.json, and optionally post Telegram reports. Before installing: (1) review the full Python source (the file was truncated in the bundle listing) to confirm there are no additional network endpoints or hidden behaviors, (2) run it in a staging environment against sample metrics to validate logic and prevent bad allocations, (3) avoid loading a shared .env containing other service credentials—only provide TELEGRAM_* and WORKSPACE if needed, (4) prefer running under a dedicated, non-root user or inside the OpenClaw container rather than enabling the root systemd example, and (5) lock down file permissions on the WORKSPACE so the optimizer can only access intended files. If you want higher assurance, request the full untruncated source for a complete audit or run the script under a network-restricted environment to confirm it only contacts api.telegram.org when tokens are set.

Type: OpenClaw Skill Name: polymarket-optimizer Version: 1.0.0 The polymarket-optimizer skill is a legitimate utility designed to analyze trading performance and adjust configuration parameters for a corresponding executor. The core logic in polymarket_optimizer.py involves reading local JSON metrics, calculating win rates and P&L, and updating a configuration file, with optional status reporting via the Telegram API. The code follows its stated purpose without any evidence of data exfiltration, unauthorized command execution, or malicious prompt injection.