Polymarket Micro Spread Sniper Trader

Scans all Polymarket categories for tight spreads (<= 8%) combined with extreme probabilities (<= 15% or >= 85%), placing many tiny conviction-based micro be...

This skill is coherently a Simmer/Polymarket micro-trading bot and appears to do what it says, but take these precautions before enabling live trading: - Treat SIMMER_API_KEY as high-risk: only provide it after verifying the key's permissions and rotate it if shared. Prefer a key scoped to trading on a test/sim account while you evaluate. - Run the script in paper/sim mode first (default) and validate behavior, logging, and the exact tunable values you want. Note the documentation uses multiple different threshold values (8%, 15%, 80%, 85%) and clawhub.json sets YES_THRESHOLD default to 0.0 — verify the actual thresholds used at runtime. - Audit the simmer-sdk package (or run in an isolated environment) before installing, since pip packages run code at install/runtime and are the main external dependency here. - Confirm you understand the --live invocation and any automation you configure (cron/automaton in your environment), and monitor trades and logs closely when first enabling live mode. If you want higher assurance, ask the author for clarification on the threshold inconsistencies and for a pointer to the official simmer-sdk repository or package source (PyPI/GitHub) so you can review it before installing.

Type: OpenClaw Skill Name: polymarket-micro-spread-sniper-trader Version: 0.0.3 The skill bundle is a legitimate trading bot designed to scan Polymarket for specific market conditions (tight spreads and extreme probabilities) using the `simmer-sdk`. The logic in `trader.py` is transparent, well-documented, and strictly follows the strategy described in `SKILL.md`. It includes safety features such as a default simulation mode (paper trading) and configurable risk limits via `clawhub.json`. No indicators of data exfiltration, malicious execution, or harmful prompt injection were identified.