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alpha-zoo

An AI agent skill from HKUDS/Vibe-Trading, scored 54 out of 100 by code.

54/ 100D

Code score by group

  • Spec20/20
  • Description14/20
  • Procedure3/15
  • Done criteria0/15
  • Resources5/10
  • Scripts2/8
  • Safety7/7
  • Upkeep3/5

It loses the most points in Done criteria (15), the group that checks whether there is a checklist and a step that verifies the work.

What the author says it does

Browse and bench the bundled alpha zoos — prebuilt cross-sectional factor libraries (Kakushadze 101, GTJA 191, Qlib 158, Fama-French / Carhart). Use when the user asks "which alphas exist", wants metadata on a named alpha, or wants to run IC/IR on a whole zoo over a universe.

This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.

Repository
HKUDS/Vibe-Trading
Folder
agent/src/skills/alpha-zoo
License
MIT
GitHub stars
38,088
SKILL.md lines
58
Other files
0

Add alpha-zoo to your agent

npx skills add HKUDS/Vibe-Trading --skill alpha-zoo

The command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.

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All skills in HKUDS/Vibe-Trading

Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.