technology-search

technology-search is a Web research & fact-checking skill for AI agents, published by netease-youdao in the LobsterAI repository on GitHub. Skillspace rates technology-search B (85/100) and it passed the safety scan; a judge model has also reviewed it.

Search tech blogs, developer forums, and IT media (TechCrunch, Hacker News, 36氪, etc.) for software and hardware industry updates with heat ranking and EN↔CN translation. Use this skill only when the topic is clearly about programming, software, hardware, AI, or IT infrastructure.

Grade
B
Quality
85 / 100
Safety
Passed
GitHub stars
5,560

Placed #6 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
97 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
MIT
Adoption
Adopted by 1 other repositories, in 0 collections
Scope
Portable: works in any project. Generic tech-news search across public sources, not repo-specific

Judge review

Placed #6 of 6 in the judged category final for Web research & fact-checking.

  • Trigger8282
  • Instructions5555
  • Specificity6060
  • Safety8888
  • Disclosure3030
  • Maintenance3535
A 75-source catalog with real domain-routing logic, but the page reads as an emoji-heavy feature pitch with almost no actual run procedure.

Not checked yet

  • No blind task eval yet
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

Also published in 1 other repo

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