← 返回 Skills 市场
mikehankk

Wei Cross Research

作者 Wei Han · GitHub ↗ · v1.0.2 · MIT-0
cross-platform ⚠ suspicious
139
总下载
0
收藏
0
当前安装
3
版本数
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
requires-sensitive-credentials
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
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install wei-cross-research
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /wei-cross-research 触发
  4. 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
Slug wei-cross-research
版本 1.0.2
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 3
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。

💬 留言讨论