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Skill

public-web-search

search the public web with citations

Published by NVIDIA Updated Aug 31
Covers Research Tavily Search

Description

Search the current public web through the recipe's optional, policy-scoped Tavily integration and return cited titles, URLs, snippets, and search metadata. Use for current public information that is not available from the configured Slack, Outlook, GitHub, or source-ETL skills. Do not use for opening a result page, extracting a URL, browser automation, or arbitrary HTTP requests.

SKILL.md

Public Web Search

Use Hermes's native web_search tool for current public-web discovery. Treat each result as search-provider evidence, not as verified page text.

Enforced boundary

  • Use web_search only. Do not use web_extract, a browser tool, web_fetch, curl, wget, Python HTTP code, or a user-supplied URL as a fetch target.
  • The OpenShell provider and sandbox policy permit only POST /search on api.tavily.com from Hermes's pinned Python runtime.
  • Do not inspect, print, transform, or troubleshoot TAVILY_API_KEY. The sandbox receives an OpenShell placeholder, not the raw API key.
  • Do not claim that a snippet proves facts beyond the returned title, URL, snippet, score, or other search metadata.

Search procedure

  1. Convert the request into one focused search query. Add a date, product name, or official-domain qualifier when it improves precision.
  2. Call web_search. Do not follow result URLs with another tool.
  3. Prefer primary and authoritative sources in the returned results.
  4. Cite the returned URL next to every claim that depends on a result. Label a statement as a search-result snippet when the page itself was not read.
  5. If the tool is absent or reports that Tavily is unavailable, stop. Say: Public web search is disabled for this sandbox. Configure TAVILY_API_KEY on the host, then recreate the sandbox. Do not try another network path.

Output

Return a compact result list with the title, source URL, snippet, and useful provider metadata. Separate direct result metadata from your inference.

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