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ulw-research

An AI agent skill from code-yeongyu/oh-my-openagent, scored 71 out of 100 by code.

71/ 100B

Code score by group

  • Spec20/20
  • Description15/20
  • Procedure6/15
  • Done criteria15/15
  • Resources4/10
  • Scripts2/8
  • Safety7/7
  • Upkeep2/5

It loses the most points in Procedure (9), the group that checks whether the steps are numbered, read the context first and say what to do when something fails.

What the author says it does

Runs maximum-saturation research with a cooperating team, claim-graph gating, and a cited, QA'd deliverable. Use when the user explicitly asks for research or a deep investigation, including any 'ulw' research wording.

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

Repository
code-yeongyu/oh-my-openagent
Folder
packages/omo-senpi/skills/ulw-research
License
Not identified by GitHub
GitHub stars
70,865
SKILL.md lines
85
Other files
4

Add ulw-research to your agent

npx skills add code-yeongyu/oh-my-openagent --skill ulw-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. GitHub identifies no license for this repository, so check its terms before you use it.

Labelled for

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All skills in code-yeongyu/oh-my-openagent

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.