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banxian87

Research Assistant

by banxian87 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install ai-research-pro
Description
Research assistant using ReAct + Plan-and-Solve for web research, information synthesis, and report generation with citations.
README (SKILL.md)

Research Assistant

AI-powered research assistant that combines tool use (ReAct) with structured planning (Plan-and-Solve) to conduct thorough research and generate comprehensive reports.


Features

🔍 Web Research

  • Search Queries: Intelligent search strategy
  • Source Evaluation: Credibility assessment
  • Information Extraction: Key facts and data

📊 Analysis & Synthesis

  • Multi-perspective: Compare different sources
  • Fact-checking: Verify claims across sources
  • Trend Analysis: Identify patterns

📝 Report Generation

  • Structured Reports: Clear organization
  • Citations: Proper source attribution
  • Executive Summary: Key findings upfront

Usage

const researcher = new ResearchAssistant();

const report = await researcher.research({
  topic: 'Impact of AI on Software Development Jobs',
  depth: 'comprehensive',  // quick, standard, comprehensive
  sources: 10,  // minimum sources
  includeStats: true
});

console.log(report.summary);
console.log(report.citations);

Architecture

User Request
    ↓
Plan-and-Solve Agent
    ├─ Phase 1: Define research questions
    ├─ Phase 2: Search strategy
    ├─ Phase 3: Source collection
    ├─ Phase 4: Analysis
    └─ Phase 5: Report writing
    ↓
ReAct Agent (for each phase)
    ├─ Search web
    ├─ Fetch pages
    ├─ Extract info
    └─ Verify facts
    ↓
Final Report with Citations

Installation

clawhub install research-assistant

License

MIT


Version

1.0.0


Created

2026-04-02

Usage Guidance
This package appears to be a stub: it documents ReAct-based web research but the code returns simulated sources (example.com) and a placeholder LLM response. Before installing or relying on it: 1) confirm whether you need a real web-search/HTML-fetch implementation — this version does not perform network fetching; 2) if you expect real searches, request the author to show where/how search APIs and credentials would be used; 3) do not trust the generated 'citations' from this version — they are synthetic; 4) if a later version adds network calls or credentials, review those changes carefully (endpoints, required env vars, and install steps) and test in a sandbox. If you only need a local prompt-driven report generator (no live web access), this code may be acceptable but limited.
Capability Analysis
Type: OpenClaw Skill Name: ai-research-pro Version: 1.0.0 The skill bundle implements a standard research assistant template using a Plan-and-Solve architecture. The code in index.js consists of boilerplate logic for prompt construction and a simulated search function, with no evidence of data exfiltration, malicious execution, or harmful prompt injection.
Capability Assessment
Purpose & Capability
Name/description promise web research with tool use (ReAct) and Plan-and-Solve. The supplied code implements planning and prompt-driven synthesis but does not perform real web searches, page fetches, or tool integration — it returns simulated sources (https://example.com/...) and uses a default LLM stub. This mismatch suggests the package is a stub or incomplete rather than actually providing the advertised web-research capability.
Instruction Scope
SKILL.md instructs the agent to 'Search web', 'Fetch pages', 'Extract info', and run ReAct loops. The runtime instructions in SKILL.md are consistent with a web-research tool, but the code does not implement those actions and instead simulates results. The documentation could lead a user to expect network activity and real citations that this version does not perform.
Install Mechanism
No install spec and no downloads; the skill is instruction-plus-source only. Nothing is written to disk by an installer, which reduces install-time risk.
Credentials
The skill requests no environment variables, credentials, or config paths. That is proportionate to the included implementation (which performs no network I/O or external API calls).
Persistence & Privilege
always is false and there is no mechanism shown to modify agent-wide configs or persist credentials. The skill does not request elevated persistence or privileges.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install ai-research-pro
  3. After installation, invoke the skill by name or use /ai-research-pro
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
AI research assistant with ReAct + Plan-and-Solve
Metadata
Slug ai-research-pro
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Research Assistant?

Research assistant using ReAct + Plan-and-Solve for web research, information synthesis, and report generation with citations. It is an AI Agent Skill for Claude Code / OpenClaw, with 110 downloads so far.

How do I install Research Assistant?

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

Is Research Assistant free?

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

Which platforms does Research Assistant support?

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

Who created Research Assistant?

It is built and maintained by banxian87 (@banxian87); the current version is v1.0.0.

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