Kalshi Eth Staking Yield Trader
v1.0.3Trades ETH price markets on Kalshi using the 4% staking yield as a fundamental price floor. When markets underprice ETH relative to the yield-implied floor,...
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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
These labels describe what authority the skill may exercise. They are separate from suspicious or malicious moderation verdicts.
OpenClaw
Benign
medium confidencePurpose & Capability
Name/description, pip dependency (simmer-sdk), and the code (trader.py) all implement a trading strategy for Kalshi using a stake-yield-derived floor. Requiring SIMMER_API_KEY and a Solana private key is proportionate for a skill that discovers/imports markets and executes live trades.
Instruction Scope
SKILL.md and trader.py stay within the trading domain (market discovery, pricing model, order placement). Minor inconsistency: top SKILL.md metadata lists only SIMMER_API_KEY as required, but later documentation, clawhub.json, and the code indicate SOLANA_PRIVATE_KEY is required for live trades. The skill does not appear to read any unrelated sensitive files or external endpoints beyond the expected Simmer/Kalshi/solana integrations.
Install Mechanism
No install spec (instruction-only plus a code file). The dependency is 'simmer-sdk' on PyPI, which is expected for this functionality; as with any third-party package, review the package source before supplying live credentials. No arbitrary download URLs or archive extraction are used.
Credentials
The primary sensitive variables (SIMMER_API_KEY, SOLANA_PRIVATE_KEY) are appropriate for a trading skill. The code also reads additional environment variables that are not listed in the top-level metadata (e.g., TRADING_VENUE and AUTOMATON_MAX_BET). These are not highly sensitive, but you should be aware the skill will honor them if present. No unrelated cloud credentials or broad system tokens are requested.
Persistence & Privilege
The skill is not force-included (always: false), autostart is false, and automaton entrypoint is declared (normal for an executable skill). It does not request modification of other skills or global agent settings. Agent-autonomous invocation is allowed (platform default) — expected behavior for skills that can run trading automations.
Assessment
This skill appears to do what it claims (a Kalshi ETH staking-yield based trader). Before installing: 1) Audit the simmer-sdk package/source on PyPI/GitHub (the skill depends on it). 2) Test in dry-run/paper mode only (the default) and confirm behavior before passing --live. 3) If you enable live trading, use a wallet with limited funds and consider a dedicated API key/wallet you can revoke. 4) Note the small metadata mismatch: SKILL.md initially lists only SIMMER_API_KEY but the skill and clawhub.json also require SOLANA_PRIVATE_KEY; verify you only provide that private key if you intend to trade live. 5) Be aware the script respects TRADING_VENUE and AUTOMATON_MAX_BET environment variables (not documented in the header); if you use those env vars they will affect behavior. If you need higher assurance, request a full audit of the simmer-sdk package and the remainder of trader.py (the provided file was truncated in the listing).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.