Polymarket 48h Weather Distribution Trader

Trades mispricings in weather temperature-bin markets by reconstructing the implied probability distribution across bins for the same city and date, detectin...

This skill appears to do what it says: reconstruct distributions from Polymarket temperature-bin markets and trade via the Simmer SDK. Before enabling live trading: (1) Keep the SIMMER_API_KEY secret and give it the minimum permissions possible; treat it as a high-value credential. (2) Test extensively in paper mode (default) and verify behavior and sizing limits. (3) Inspect or vet the 'simmer-sdk' package (check the PyPI/GitHub repository, recent commits, and package maintainers) because pip dependencies are a common supply-chain risk. (4) Note the registry metadata mismatch: the prompt's summary said no required env vars, but the code requires SIMMER_API_KEY — ensure the platform will not inject unexpected credentials. (5) If you plan to run unattended automation, audit the code path that executes live trades (search for the live flag path in trader.py) and consider using a scoped API key or withdrawal limits on the exchange. If you want higher assurance, request the full untruncated trader.py for an independent review of the live-trade execution logic and any network calls.

Type: OpenClaw Skill Name: polymarket-48h-weather-distribution-trader Version: 0.0.3 The skill bundle implements a legitimate mathematical arbitrage strategy for Polymarket weather markets, identifying mispricings when temperature bin probabilities fail to sum to 100%. The implementation in `trader.py` uses the `simmer-sdk` for market interaction, defaults to a safe simulation mode, and includes robust risk management safeguards such as spread limits and slippage checks. No indicators of data exfiltration, malicious execution, or harmful prompt injection were found.