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Lite Research

作者 chand1012 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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1
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在 OpenClaw 中安装
/install lite-research
功能描述
Perform lite research using web search and web fetch tools. Use when user asks to "research" something (not "deep research"). Uses advanced search strategies...
使用说明 (SKILL.md)

Lite Research Skill

This skill performs quick research by searching the web and reading the top results using built-in tools with advanced search strategies.

When to Use This Skill

Use this skill when the user says "research \x3Ctopic>" (but NOT "deep research"). This skill:

  • Uses web_search to find results for multiple related queries using search best practices
  • Uses web_fetch to read the top 5 results for each query
  • Does NOT spawn sub-agents
  • Provides a summary of findings with sources

Advanced Search Strategy

Instead of basic queries, this skill uses research-proven techniques and limits queries to maximum 5:

1. Query Variations with Synonyms and Alternatives

For a topic like "artificial intelligence", create 2-5 queries like:

  • "artificial intelligence" OR "AI" OR "machine learning"
  • "artificial intelligence" overview introduction basics
  • "artificial intelligence" recent developments 2024 2025
  • "artificial intelligence" challenges problems issues
  • "artificial intelligence" applications uses examples

Limit: Maximum 5 queries total to balance thoroughness with efficiency.

2. Boolean Operators and Search Techniques

  • Use OR for synonyms: "climate change" OR "global warming"
  • Use quotation marks for exact phrases
  • Include both singular and plural forms
  • Add time constraints when relevant

3. Alternative Terminology

Consider:

  • Different spellings (globalization vs globalisation)
  • Technical vs common terms ("myocardial infarction" vs "heart attack")
  • Regional variations ("university" vs "college")
  • Historical terminology changes

4. Multi-Perspective Approach

Create queries from different angles:

  • Basic overview: "{topic} overview introduction"
  • Current state: "{topic} 2024 2025 recent developments"
  • Critical analysis: "{topic} challenges problems issues"
  • Applications: "{topic} applications uses examples"

Implementation Workflow

When user says "research \x3Ctopic>":

  1. Analyze the topic - identify key concepts and potential synonyms

  2. Create 2-5 strategic queries maximum using:

    • Synonyms with OR operators
    • Different query types (overview, recent, critical, applications)
    • Time-specific terms when relevant
    • Quotation marks for exact phrases
    • Important: Never exceed 5 distinct queries
  3. Execute searches with count=5 for each query (max 5 queries total)

  4. Fetch and analyze content from results

  5. Compile findings focusing on:

    • Key concepts and definitions
    • Current developments and trends
    • Different perspectives and applications
    • Notable challenges or controversies

Example Queries for "renewable energy"

  • "renewable energy" OR "clean energy" OR "green energy"
  • "renewable energy" overview introduction "current state"
  • "renewable energy" 2024 2025 "recent developments" trends
  • "renewable energy" challenges problems limitations issues
  • "renewable energy" applications examples projects case studies

Maximum 5 queries total - adjust based on topic complexity and available information.

Important Notes

  • Only triggers on "research" commands, not "deep research"
  • Never spawn sub-agents - use direct tool calls
  • Focus on comprehensive but quick overview
  • Provide sources and URLs for transparency
  • Adapt query strategy based on topic complexity
安全使用建议
This skill is coherent for quick web research: it will perform multiple web searches and fetch external pages (potentially up to ~25). Verify that your platform's web_search/web_fetch tools are allowed to access the web you expect (and are subject to rate limits and privacy settings). Be aware results can include biased or inaccurate sources—review citations before acting on findings. Finally, note the skill only triggers on 'research' (not 'deep research'), so phrasing matters if you expect more exhaustive analysis.
功能分析
Type: OpenClaw Skill Name: lite-research Version: 1.0.0 The lite-research skill provides structured instructions for an AI agent to perform efficient web research using standard web_search and web_fetch tools. It includes well-defined search strategies, such as using Boolean operators and query variations, while explicitly limiting the scope to 5 queries and prohibiting the spawning of sub-agents. No indicators of data exfiltration, malicious execution, or harmful prompt injection were found in SKILL.md or README.md.
能力评估
Purpose & Capability
Name and description match the declared behavior: generate 2–5 strategic queries, use web_search and web_fetch to read top results, and produce a short summary with sources. No unrelated binaries, env vars, or config paths are requested.
Instruction Scope
SKILL.md confines the agent to web_search and web_fetch calls, limits queries to 5 and results to 5 per query, and explicitly forbids spawning sub-agents; it does not instruct the agent to read local files, access secrets, or call unexpected external endpoints. Note: the skill will fetch and read external URLs (up to ~25 pages), which is expected for its purpose.
Install Mechanism
No install spec and no code files — instruction-only — so nothing is written to disk or downloaded during installation.
Credentials
Requires no environment variables, credentials, or config paths; requested access is proportionate to a web-based research task.
Persistence & Privilege
always is false and there are no special persistence or cross-skill configuration changes. Autonomous invocation is allowed (platform default) but not excessive for this skill.
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 lite-research
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /lite-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
v1.0.0
lite-research 1.0.0 – Initial release - Introduces a skill for performing quick research using advanced web search strategies. - Automatically generates up to 5 diverse queries per topic, using Boolean operators, synonyms, and alternative terminology. - Fetches and analyzes the top 5 results for each query, summarizing key findings, trends, challenges, and applications. - Only activates on "research" (not "deep research") requests and never spawns sub-agents. - Provides users with concise summaries and transparent source links.
元数据
Slug lite-research
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Lite Research 是什么?

Perform lite research using web search and web fetch tools. Use when user asks to "research" something (not "deep research"). Uses advanced search strategies... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 161 次。

如何安装 Lite Research?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install lite-research」即可一键安装,无需额外配置。

Lite Research 是免费的吗?

是的,Lite Research 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Lite Research 支持哪些平台?

Lite 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 Lite Research?

由 chand1012(@chand1012)开发并维护,当前版本 v1.0.0。

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