Cross-Validated Search

Other

OpenClaw skill for source-backed web search, page reading, and evidence-aware claim checking. Use it to verify factual answers with live search results and explicit source handling.

Install

openclaw skills install cross-validated-search

Cross-Validated Search for OpenClaw

This skill gives OpenClaw a practical verification workflow:

  • search-web for live search results
  • browse-page for reading the full content of a source
  • verify-claim for support/conflict classification
  • evidence-report for a citation-ready summary with next steps

Install

pip install cross-validated-search

Minimum verification

search-web "OpenAI API pricing" --type news --timelimit w
verify-claim "Python 3.13 is the latest stable release" --deep --max-pages 2 --json
evidence-report "Python 3.13 stable release" --claim "Python 3.13 is the latest stable release" --deep --json

Recommended flow

  1. Run search-web for factual or recent questions.
  2. Use browse-page on the most relevant source when snippets are not enough.
  3. Use verify-claim when a concrete claim needs a support/conflict summary.
  4. Use evidence-report when you want a compact evidence package with citations and next steps.
  5. Use --deep when the claim matters enough to justify page-aware verification.
  6. Cite the returned URLs in the final answer.

What success looks like

  • the verdict is explicit
  • the result includes support and conflict scores
  • page_aware is true when deep verification ran
  • the recommended free path is ddgs + self-hosted searxng
  • source URLs are ready to cite

Limits

  • verify-claim is heuristic and evidence-aware, not a proof engine.
  • The default provider path is ddgs.
  • The recommended free upgrade path is self-hosted searxng via CROSS_VALIDATED_SEARCH_SEARXNG_URL.
  • Conflicting sources are surfaced, not automatically reconciled.

License

MIT License.