/install cross-validated-search
Cross-Validated Search for OpenClaw
This skill gives OpenClaw a practical verification workflow:
search-webfor live search resultsbrowse-pagefor reading the full content of a sourceverify-claimfor support/conflict classificationevidence-reportfor 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
- Run
search-webfor factual or recent questions. - Use
browse-pageon the most relevant source when snippets are not enough. - Use
verify-claimwhen a concrete claim needs a support/conflict summary. - Use
evidence-reportwhen you want a compact evidence package with citations and next steps. - Use
--deepwhen the claim matters enough to justify page-aware verification. - Cite the returned URLs in the final answer.
What success looks like
- the verdict is explicit
- the result includes support and conflict scores
page_awareis true when deep verification ran- the recommended free path is
ddgs + self-hosted searxng - source URLs are ready to cite
Limits
verify-claimis heuristic and evidence-aware, not a proof engine.- The default provider path is
ddgs. - The recommended free upgrade path is self-hosted
searxngviaCROSS_VALIDATED_SEARCH_SEARXNG_URL. - Conflicting sources are surfaced, not automatically reconciled.
License
MIT License.
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install cross-validated-search - After installation, invoke the skill by name or use
/cross-validated-search - Provide required inputs per the skill's parameter spec and get structured output
What is Cross-Validated Search?
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 e... It is an AI Agent Skill for Claude Code / OpenClaw, with 163 downloads so far.
How do I install Cross-Validated Search?
Run "/install cross-validated-search" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Cross-Validated Search free?
Yes, Cross-Validated Search is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Cross-Validated Search support?
Cross-Validated Search is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Cross-Validated Search?
It is built and maintained by Da Wei (@wd041216-bit); the current version is v16.0.0.