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wd041216-bit

Cross-Validated Search

by Da Wei · GitHub ↗ · v16.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install cross-validated-search
Description
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...
README (SKILL.md)

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.

Usage Guidance
This skill appears to do what it says (search and evidence-aware verification) and does not ask for credentials, but take two precautions before using it: (1) inspect the cross-validated-search package source on the linked GitHub repo or PyPI before running 'pip install' (or install it inside an isolated environment/container), and (2) consider privacy: search queries and full page contents will be sent to whichever search provider is used (duckduckgo/ddgs by default, or a searxng instance if you set CROSS_VALIDATED_SEARCH_SEARXNG_URL). If you need confidentiality, self-host a searxng instance and set that URL; if you cannot verify the package source, avoid installing and instead use a verified browser/search integration.
Capability Analysis
Type: OpenClaw Skill Name: cross-validated-search Version: 16.0.0 The skill bundle for 'cross-validated-search' provides standard web search and fact-checking capabilities using DuckDuckGo and SearxNG. The documentation in SKILL.md and metadata in _meta.json contain no indicators of malicious intent, data exfiltration, or prompt injection, and the described functionality aligns perfectly with the stated purpose of evidence-aware claim verification.
Capability Assessment
Purpose & Capability
The name and description match the runtime instructions (CLI commands for search-web, browse-page, verify-claim, evidence-report). However, the SKILL.md recommends 'pip install cross-validated-search' and refers to an optional env var CROSS_VALIDATED_SEARCH_SEARXNG_URL even though the registry metadata lists no required env vars; this mismatch is minor but worth noting.
Instruction Scope
The SKILL.md confines the agent to search, page-reading, and claim-verification workflows; it does not instruct the agent to read unrelated files, access system configs, or exfiltrate data to unknown endpoints. Examples show CLI usage and --deep/--json flags; the only operational instruction that affects the environment is to install the package via pip.
Install Mechanism
There is no registry-level install spec, but the documentation instructs users/agents to run 'pip install cross-validated-search'. Installing a third-party PyPI package is common but has moderate risk—review the PyPI package and its source (the project homepage GitHub link is provided) before installing, or run in an isolated environment.
Credentials
The skill requires no credentials and declares no required env vars, which is proportional. However, SKILL.md references CROSS_VALIDATED_SEARCH_SEARXNG_URL as a recommended configuration for a self-hosted provider; that env var is not declared in metadata. Also be aware that search queries and fetched page contents will be sent to external search providers (ddgs or searxng), which may expose query contents and retrieved pages to those services.
Persistence & Privilege
The skill does not request 'always: true', does not require persistent system-wide changes, and is instruction-only with no code files in the bundle. There is no indication it modifies other skills or agent-wide settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install cross-validated-search
  3. After installation, invoke the skill by name or use /cross-validated-search
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v16.0.0
Initial public release for the renamed cross-validated-search package with evidence-report, verify-claim, and free ddgs + self-hosted SearXNG guidance.
Metadata
Slug cross-validated-search
Version 16.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

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.

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