googlesearch
Gemini Grounding with Google Search - Real-time web data
Installation
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
View source ↗GuidesSkill instructions
Google Search Skill
Ground Gemini responses with real-time web search.
Features
- Reduce Hallucinations: Ground answers in real data
- Real-Time Info: Access current events and news
- Citations: Verifiable sources for claims
Usage
from rhea_noir.skills.googlesearch.actions import skill as gs
result = gs.search(
query="Who won the 2024 Super Bowl?",
model="gemini-3-flash-preview"
)
print(result["answer"])
print(result["sources"])
With URL Context
result = gs.search_with_urls(
query="Summarize this article and add recent updates",
urls=["https://example.com/article"],
model="gemini-3-flash-preview"
)
Examples
Read the usage examples in the source repository.
View source ↗Source history
- Indexed on
- 2026-01-20
- Index updated
- 2026-01-26
- Branch
- main
Index and sync dates describe this directory. View the source repository for code history.
GitHub ↗chat Comments (0)
Sign in to join the discussion and leave a comment.
No comments yet. Be the first to share your thoughts!