ulw-research
ulw-research is a Web research & fact-checking skill for AI agents, published by code-yeongyu in the oh-my-openagent repository on GitHub. Skillspace rates ulw-research C (72/100) and it passed the safety scan; a judge model has also reviewed it.
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.
- Grade
- C
- Quality
- 72 / 100
- Safety
- Passed
- GitHub stars
- 69,009
Placed #5 of 6 in the judged category final for Web research & fact-checking.
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
- 96 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #5 of 6 in the judged category final for Web research & fact-checking.
- Trigger
68 68 - Instructions
58 58 - Specificity
62 62 - Safety
40 40 - Disclosure
35 35 - Maintenance
45 45
Dense, jargon-heavy orchestration tied to a proprietary team-tooling API that explicitly claims authority to override other modes' exploration and safety limits.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- 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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