senpi-trader-research
senpi-trader-research is an Investment analysis & markets skill for AI agents, published by Senpi-ai in the senpi-skills repository on GitHub. Skillspace rates senpi-trader-research C (74/100) and it passed the safety scan; the rating is based on static analysis only.
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.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 106
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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