← Back to Skills Marketplace
mikehankk

Wei Cross Research

by Wei Han · GitHub ↗ · v1.0.2 · MIT-0
cross-platform ⚠ suspicious
139
Downloads
0
Stars
0
Active Installs
3
Versions
Install in OpenClaw
/install wei-cross-research
Description
Cross-validate research answers by querying multiple LLMs in parallel with judge-based synthesis. Reduces hallucination and surfaces model disagreements for...
Usage Guidance
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.
Capability Tags
requires-sensitive-credentials
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install wei-cross-research
  3. After installation, invoke the skill by name or use /wei-cross-research
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
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).
Metadata
Slug wei-cross-research
Version 1.0.2
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 3
Frequently Asked Questions

What is Wei Cross Research?

Cross-validate research answers by querying multiple LLMs in parallel with judge-based synthesis. Reduces hallucination and surfaces model disagreements for... It is an AI Agent Skill for Claude Code / OpenClaw, with 139 downloads so far.

How do I install Wei Cross Research?

Run "/install wei-cross-research" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Wei Cross Research free?

Yes, Wei Cross Research is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Wei Cross Research support?

Wei Cross Research is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Wei Cross Research?

It is built and maintained by Wei Han (@mikehankk); the current version is v1.0.2.

💬 Comments