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private-company-research

An AI agent skill from HKUDS/Vibe-Trading, scored 70 out of 100 by code.

70/ 100B

Code score by group

  • Spec20/20
  • Description10/20
  • Procedure12/15
  • Done criteria13/15
  • Resources7/10
  • Scripts2/8
  • Safety3/7
  • Upkeep3/5

It loses the most points in Description (10), the group that checks whether the description says what the skill does and when to use it.

What the author says it does

Deep research framework for pre-IPO / private companies (Ant Group, SpaceX, Stripe, ByteDance...). Six analyst lenses — business model, financial forensics, competitive landscape, risk & governance, tech & IP, alternative-data signals — run in parallel via run_swarm, then cross-validated for signal consistency before any verdict. Built around the core challenge of private-company work: information is scarce, so every data point carries a confidence label (high / medium / low), inference is shown separately from fact, and 'I don't know' is a valid output. Outputs a fair-value range, exit-path…

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/private-company-research
License
MIT
GitHub stars
38,088
SKILL.md lines
161
Other files
0

Add private-company-research to your agent

npx skills add HKUDS/Vibe-Trading --skill private-company-research

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.

Labelled for

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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.