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Cross-Validated Search

Name: Cross-Validated Search
Author: wd041216-bit

作者 Da Wei · GitHub ↗ · v16.0.0 · MIT-0

cross-platform ✓ 安全检测通过

163

总下载

当前安装

版本数

在 OpenClaw 中安装

/install cross-validated-search

功能描述

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...

使用说明 (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

Run search-web for factual or recent questions.
Use browse-page on the most relevant source when snippets are not enough.
Use verify-claim when a concrete claim needs a support/conflict summary.
Use evidence-report when you want a compact evidence package with citations and next steps.
Use --deep when 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_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.

安全使用建议

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.

功能分析

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.

能力评估

ℹ 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.

ℹ 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.

ℹ 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.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install cross-validated-search
安装完成后，直接呼叫该 Skill 的名称或使用 /cross-validated-search 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

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.

元数据

Slug cross-validated-search

版本 16.0.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

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