Polymarket Twitter Cadence Model Trader

Trades post-count bin markets using a Poisson statistical model to predict the most likely bins based on historical posting rates. Requires SIMMER_API_KEY an...

This skill appears to do what it says: analytic pricing and automated trading via the Simmer SDK. However: 1) Confirm the metadata mismatch — the registry header said no env vars but clawhub.json and SKILL.md require SIMMER_API_KEY; treat that as a publishing error and verify the canonical source. 2) Audit the simmer-sdk package and the GitHub repo referenced in SKILL.md before providing credentials (PyPI packages can contain arbitrary code). 3) Start in paper mode only (default) and test behavior thoroughly; do not put a live-capable SIMMER_API_KEY in an environment where automation could call trader.py --live. 4) If you plan to let agents invoke this autonomously, consider limiting the API key scopes (if supported) and using least-privilege credentials or a staging account. 5) If you are uncomfortable with provenance (owner ID unknown, no homepage in the registry header), seek a well-known/reputable alternative or request source verification from the publisher.

Type: OpenClaw Skill Name: polymarket-twitter-cadence-model-trader Version: 0.0.3 The skill is a statistical trading bot designed to trade Twitter post-count markets on Polymarket using a Poisson distribution model. The logic in `trader.py` is transparent, implementing market discovery, signal calculation, and trade execution via the `simmer-sdk`. It includes safety features such as a default paper-trading mode (venue='sim'), configurable risk parameters (tunables), and explicit checks for market slippage. No evidence of data exfiltration, malicious execution, or prompt injection was found.