Fact Cross Check
/install fact-cross-check
\r \r
Cross Check\r
\r Multi-source verification for factual claims with confidence scoring and source links.\r \r
Workflow\r
\r
- Optimize query — see
{baseDir}/references/query-optimization.md.\r - Search first (REQUIRED) — ALWAYS use
web_searchas the primary tool. Never skip toweb_fetchdirectly. Runweb_search(query, count=10). If T1 found, stop. If only T2-3, run a second query. If contradictions, investigate.\r - Evaluate sources — classify by tier. See
{baseDir}/references/source-tiers.md.\r - Direct verify (optional, only after search) — use
web_fetch(url)only to verify specific URLs found via search. Never useweb_fetchas a substitute forweb_search.\r - Present — MUST include clickable source URLs for every result:\r
[Answer]\r Confidence: [T1-T5] ([%]) | Sources: name, ... | Verified: [date] | Note: [caveats]\r \r
Source URLs\r
\r CRITICAL: Every cited source MUST include a direct clickable URL. If URL unavailable: T1 → find alternative source, T2+ → downgrade one tier. Never list a source without its URL.\r \r
Error Handling\r
\r
- Zero results → broaden query, retry once. Still empty → T1 confidence.\r
web_fetchfails → skip, note it, drop confidence one level.\r- All T4 sources → report T2, mark Uncertain.\r
- Contradictions → see
{baseDir}/references/research-patterns.md.\r \r
Security & Privacy\r
\r
This skill uses only OpenClaw's built-in web_search and web_fetch tools. No data is sent to external services beyond what these tools do.\r
\r
External Endpoints:\r
- Web search API (via OpenClaw's built-in web_search, provider depends on user config)\r
- Web pages (via OpenClaw's web_fetch for verification)\r \r Data Handling:\r
- No credentials required\r
- No data stored locally\r
- Search queries sent through OpenClaw's configured search provider\r
- No autonomous invocation without user intent - activates when queries contain verification language\r \r Trust Statement:\r By using this skill, your search queries are sent through OpenClaw's built-in web search provider. Only install if you trust OpenClaw's data handling practices.\r
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install fact-cross-check - 安装完成后,直接呼叫该 Skill 的名称或使用
/fact-cross-check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
Fact Cross Check 是什么?
Multi-source verification with confidence ratings. Use for verifying factual claims, finding examples and verifying they match criteria, statistics, or resea... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 172 次。
如何安装 Fact Cross Check?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install fact-cross-check」即可一键安装,无需额外配置。
Fact Cross Check 是免费的吗?
是的,Fact Cross Check 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Fact Cross Check 支持哪些平台?
Fact Cross Check 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Fact Cross Check?
由 marianachow0321(@marianachow0321)开发并维护,当前版本 v1.0.3。