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在 OpenClaw 中安装
/install wei-cross-research
功能描述
Cross-validate research answers by querying multiple LLMs in parallel with judge-based synthesis. Reduces hallucination and surfaces model disagreements for...
安全使用建议
What to consider before installing:
1) Metadata mismatch: The registry summary claims no required env vars and 'instruction-only', but SKILL.md and the code require Bun and an OPENROUTER_API_KEY (DASHSCOPE_API_KEY optional) and include runnable TypeScript. Treat the skill as code you will run, not a text-only recipe.
2) Secrets: The skill needs provider API keys. Only provide API keys you trust the provider with and consider using a dedicated account/key with limited billing/permissions.
3) Review clients: The repo contains clients for OpenRouter and Bailian (DashScope). If you are concerned about exfiltration or unexpected endpoints, read scripts/clients/* to confirm which API bases are called and whether any additional telemetry or unexpected endpoints are used.
4) Local files: The agent writes intermediate/ and reports/ files. If queries or model outputs contain sensitive data, these will be stored locally — remove or secure those directories if needed.
5) Run in isolation first: Execute in an isolated environment (VM/container) and inspect network traffic or logs during a test run if possible. Use test API keys and low-privilege accounts initially.
6) Deployment choice: If you do not want the skill to call many external models, edit config.json to remove/untrustworthy providers or reduce max_models before use.
If you want, I can: (a) inspect the client files to list exact HTTP endpoints used and any headers/telemetry, (b) point out the lines that read env vars and write files, or (c) suggest a minimal-safe config.json that limits providers and logging.
能力标签
能力评估
Purpose & Capability
The skill's name and description (cross-validate research answers by querying multiple LLMs and using a judge) align with the code and SKILL.md: it needs provider API keys and a runtime (Bun) to call external LLM endpoints. However, the registry metadata at the top reports "Required env vars: none" and claims "No install spec — instruction-only" while the SKILL.md and repository include code files, a package.json, and explicit requirements (OPENROUTER_API_KEY required). That metadata vs. implementation mismatch is an incoherence the user should know about.
Instruction Scope
The SKILL.md and the code limit actions to: reading config.json, loading prompt templates, calling configured model provider APIs, saving per-model intermediate responses and a report to local disk, and applying input sanitization. These actions are within the stated purpose (multi-model querying and judge synthesis). The skill does read config files and environment variables and writes reports/intermediate files locally — expected for this use case but worth noting if you consider local storage of sensitive queries/answers.
Install Mechanism
The skill registry states "No install spec — instruction-only", but the package actually includes TypeScript code, package.json, and instructions that run 'bun install' and 'bun run scripts/index.ts'. There is no remote download of arbitrary archives, and dependencies are standard (axios, dotenv), but the mismatch between registry metadata and real install/runtime steps is an inconsistency that increases risk (users may expect no code to be executed).
Credentials
The SKILL.md requires an OPENROUTER_API_KEY (required) and optionally DASHSCOPE_API_KEY (optional) which are proportional to its purpose (calling external model providers). However, the registry summary incorrectly reported no required env vars — a meaningful discrepancy. Because provider API keys can be used to consume billable resources or access account data, treat those keys as sensitive and limit their scope/permissions where possible.
Persistence & Privilege
The skill does not request 'always: true' or other elevated platform privileges. It writes outputs to local report and intermediate directories (reports/, intermediate/) but does not modify other skills' configs. Autonomous invocation is allowed by default (normal for skills) but not combined here with elevated persistence privileges.
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 wei-cross-research - 安装完成后,直接呼叫该 Skill 的名称或使用
/wei-cross-research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
v1.0.2
- Cleaning up unused or legacy dependency management files.
- SKILL.md updated: simplified Bun/environment variable setup instructions and removed explicit installation scripting for requirements check.
- No functional changes to core skill logic; documentation and housekeeping update only.
v1.0.1
wei-cross-research 1.0.1
- Updated all the models to the lastest models.
- Fixed harded model invocation bug.
- Changed OPENROUTER_API_KEY to required in environment configuration for improved clarity.
- Updated environment variable descriptions for better guidance on API key usage.
v1.0.0
wei-cross-research v1.0.0
- Initial release.
- Enables robust cross-validation of research answers by querying multiple large language models (LLMs) in parallel and using a judge model to synthesize results.
- Highlights model disagreement for high-stakes or ambiguous questions, reducing hallucination risk.
- Supports role-based domain specialization (e.g., financial, technical, social); judge model adapts synthesis to query domain.
- Offers domain-specific financial analysis format covering base, bull, bear scenarios and key risks.
- Flexible configuration via roles in config.json; environment variable support for model provider keys (OpenRouter, DashScope).
元数据
常见问题
Wei Cross Research 是什么?
Cross-validate research answers by querying multiple LLMs in parallel with judge-based synthesis. Reduces hallucination and surfaces model disagreements for... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 139 次。
如何安装 Wei Cross Research?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install wei-cross-research」即可一键安装,无需额外配置。
Wei Cross Research 是免费的吗?
是的,Wei Cross Research 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Wei Cross Research 支持哪些平台?
Wei Cross Research 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 Wei Cross Research?
由 Wei Han(@mikehankk)开发并维护,当前版本 v1.0.2。
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