Optimize blockchain gas costs by analyzing prices, patterns, and timing. Use when checking gas prices, estimating costs, or finding optimal windows. Trigger with phrases like "gas prices", "optimize gas", "transaction cost", "when to transact".
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Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
The required workflow fetches real-time gas data from outsider-run public RPC/Explorer/price APIs at runtime (e.g., JSON-RPC via public endpoints in `gas_fetcher.py` and HTTP calls to Etherscan/CoinGecko), and those responses’ fields are parsed and then rendered into CLI output/JSON that becomes part of the agent’s LLM-visible context.
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