cross-validated-search（交叉验证搜索）

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.