Polymarket 24h Nba Game Structure Trader

v1.0.2

Trades structural inconsistencies across correlated NBA game markets on Polymarket by grouping moneyline, spread, O/U (full-game and 1H), and 1H moneyline ma...

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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
Capability signals
Crypto
These labels describe what authority the skill may exercise. They are separate from suspicious or malicious moderation verdicts.
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Benign
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OpenClawOpenClaw
Benign
high confidence
Purpose & Capability
Name/description describe an automated trader for correlated Polymarket NBA markets. The package declares a single required env var SIMMER_API_KEY and a pip dependency simmer-sdk (used to talk to the trading/simulation service). These requirements align with a trading skill.
Instruction Scope
SKILL.md and trader.py contain logic to discover markets, parse market questions, group games, detect structural inconsistencies, and execute trades. The README explicitly defaults to paper trading and only performs live trades when invoked with --live; there are no instructions to read unrelated files or exfiltrate data.
Install Mechanism
No download-from-URL or archive extraction. Dependencies are declared as a pip package (simmer-sdk) in clawhub.json, which is proportionate for a client SDK used to place trades/simulate. There is no surprising install behavior.
Credentials
The only required environment variable is SIMMER_API_KEY, which is appropriate for a trading skill. The SKILL.md warns this is high-value. Note: the registry summary at the top of the package metadata listed 'Primary credential: none' while clawhub.json and SKILL.md require SIMMER_API_KEY — this metadata inconsistency should be clarified before installation.
Persistence & Privilege
always:false and autostart:false (cron:null) mean the skill is not forced into every agent run and will not start automatically by default. automaton.managed with an entrypoint is expected for a runnable trader. No requests to modify other skills or system-wide settings were found.
Assessment
This skill appears to do what it says: it discovers NBA markets, checks structural relationships, and trades via the Simmer SDK. Before installing: (1) Verify you trust simmer-sdk and the Simmer service (review its docs and permission model). (2) Only provide SIMMER_API_KEY if you intend to trade; treat it as high-value and prefer a limited-scope/test key for initial use. (3) Use the default paper/sim mode first to validate behavior. (4) Clarify the small metadata inconsistency (registry listing showed no primary credential while the package requires SIMMER_API_KEY). (5) If you run live, review the tunables and limits and monitor trades closely.

Like a lobster shell, security has layers — review code before you run it.

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License

MIT-0
Free to use, modify, and redistribute. No attribution required.

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