mevAnalyze mev operations. Use when you need to understand mev mechanisms, evaluate protocol security, or reference on-chain concepts.
Install via ClawdBot CLI:
clawdbot install bytesagain1/mevGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://bytesagain.comAudited Apr 18, 2026 · audit v1.0
Generated May 9, 2026
A DeFi protocol team uses the Mev skill to track current MEV activities on their platform, ensuring no malicious front-running or sandwich attacks are occurring. This helps maintain protocol security and user trust.
Researchers leverage the skill's search and list commands to gather data on MEV patterns, analyze statistical trends, and export findings for academic papers or security audits. This aids in understanding on-chain risks.
Validators use the skill to add and manage entries for different MEV strategies, compare config options, and export performance data to optimize their block building and reward extraction.
Data analysts export MEV statistics and entry lists to files using the export command, then integrate the data into custom dashboards for real-time monitoring of on-chain activity.
Offer subscription-based monitoring for DeFi protocols and validators, providing alerts on suspicious MEV patterns and regular reports generated from the skill's stats and list commands.
Use the skill to conduct deep-dive MEV analyses for clients, producing exportable data and statistical insights for security audits or competitive research.
Package cleaned MEV data exports into a licensable dataset for analytics platforms, enabling them to offer enhanced on-chain insights without building their own scraping infrastructure.
💬 Integration Tip
Integrate the skill into your data pipeline by scheduling regular export commands (e.g., via cron) to feed MEV data into your analytics stack. Set the MEV_DIR config to a shared storage location for team access.
Scored May 9, 2026
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