Research Hyperliquid traders to copy — rank the best track records and vet a specific trader before mirroring. Use for "who should I copy?", "find good traders", "is this trader any good?", "should I copy 0x…?", "best traders this month", "top copy strategies". Use this instead of piecing together discovery_get_trader_history / discovery_get_trader_state + leaderboard yourself. A hidden engine (scripts/research.py) pulls track record, current positions, and 4h momentum; you make the call. Requires a USER-scoped Senpi token.
How to install senpi-trader-research?
senpi-ai/senpi-skills/senpi-trader-research
$npx -y skills add senpi-ai/senpi-skills --skill senpi-trader-researchInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/senpi-ai/senpi-skills" --skill "senpi-ai/senpi-skills/senpi-trader-research"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/senpi-ai/senpi-skills" that are relevant to the current task. Run `npx skills add "https://github.com/senpi-ai/senpi-skills"` and select the relevant skills, then follow their instructions.
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