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baidu-search▌

countbot-ai/countbot · updated May 1, 2026

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$npx skills add https://github.com/countbot-ai/countbot --skill baidu-search
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summary

Baidu AI search with four modes: web search, encyclopedia, video encyclopedia, and AI-generated answers.

  • ›Supports four search modes via the Baidu Qianfan platform: web search (default), Baidu Baike encyclopedia, Miaodong Baike video encyclopedia, and AI-generated responses
  • ›Command-line interface with filtering options: limit result count, filter by site, and filter by recency (week/month/semiyear/year)
  • ›Automatically includes current date context for time-sensitive queries
  • ›JSON out
skill.md

百度 AI 搜索

基于百度千帆平台的 AI 搜索服务，支持多种搜索模式。

配置

编辑 skills/baidu-search/scripts/config.json，填写 API Key：

{
  "api_key": "bce-v3/YOUR_API_KEY_HERE"
}

API Key 从 百度千帆平台 获取。

命令行调用

# 网页搜索（默认）
python3 skills/baidu-search/scripts/search.py "搜索关键词"

# JSON 输出（推荐 AI 使用）
python3 skills/baidu-search/scripts/search.py "人工智能最新进展" --json

# 限制结果数
python3 skills/baidu-search/scripts/search.py "Python教程" --limit 5

# 站点过滤
python3 skills/baidu-search/scripts/search.py "天气预报" --sites weather.com.cn

# 时间过滤（week/month/semiyear/year）
python3 skills/baidu-search/scripts/search.py "AI新闻" --recency week

# 百度百科
python3 skills/baidu-search/scripts/search.py "人工智能" --api-type baike

# 秒懂百科（视频）
python3 skills/baidu-search/scripts/search.py "深度学习" --api-type miaodong_baike

# AI 智能生成
python3 skills/baidu-search/scripts/search.py "什么是人工智能" --api-type ai_chat

API 类型

类型 说明
web_search 网页搜索（默认）
baike 百度百科
miaodong_baike 秒懂百科（视频）
ai_chat AI 智能搜索生成

注意事项

  • 免费额度：100 次/天
  • 网页搜索查询最长 72 字符
  • 自动包含当前日期上下文，方便处理时效性查询
how to use baidu-search

How to use baidu-search on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • ›Cursor installed and configured on your development machine
  • ›Node.js version 16.0+ with npm package manager (verify with node --version)
  • ›Active project directory or workspace where you want to add baidu-search
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/countbot-ai/countbot --skill baidu-search

The skills CLI fetches baidu-search from GitHub repository countbot-ai/countbot and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/baidu-search

Reload or restart Cursor to activate baidu-search. Access the skill through slash commands (e.g., /baidu-search) or your agent's skill management interface.

⚠

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

Additional Resources

›View source code on GitHub›Skills CLI documentation›Learn more about Cursor›What are agent skills?

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases▌

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

✓

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

✓

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

✓

Improve work quality by 30-40% with less effort

Implementation Guide▌

Prerequisites

  • ›Claude Desktop or compatible AI client with skill support
  • ›Clear understanding of task or problem to solve
  • ›Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • ⚠Expecting perfect results without iteration
  • ⚠Not providing enough context in prompts
  • ⚠Using skill for tasks outside its intended scope
  • ⚠Accepting outputs without review and validation

Best Practices▌

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • −Don't use without understanding skill limitations
  • −Don't skip validation of outputs
  • −Don't share sensitive information in prompts
  • −Don't expect skill to replace human judgment

💡 Pro Tips

  • ★Be specific about desired format and style
  • ★Ask for multiple options to choose from
  • ★Request explanations to understand reasoning
  • ★Combine AI efficiency with human expertise

When to Use This▌

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path▌

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.7★★★★★57 reviews
  • ★★★★★Aditi Brown· Dec 28, 2024

    Registry listing for baidu-search matched our evaluation — installs cleanly and behaves as described in the markdown.

  • ★★★★★Diya Menon· Dec 24, 2024

    Useful defaults in baidu-search — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • ★★★★★Aditi Yang· Dec 12, 2024

    I recommend baidu-search for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • ★★★★★Ava Srinivasan· Nov 27, 2024

    baidu-search is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • ★★★★★Yash Thakker· Nov 19, 2024

    baidu-search is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • ★★★★★Aditi Chen· Nov 19, 2024

    Useful defaults in baidu-search — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • ★★★★★Li Menon· Nov 15, 2024

    Registry listing for baidu-search matched our evaluation — installs cleanly and behaves as described in the markdown.

  • ★★★★★Aditi Abebe· Nov 3, 2024

    baidu-search reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • ★★★★★Aditi Taylor· Oct 22, 2024

    Registry listing for baidu-search matched our evaluation — installs cleanly and behaves as described in the markdown.

  • ★★★★★Charlotte Diallo· Oct 18, 2024

    Keeps context tight: baidu-search is the kind of skill you can hand to a new teammate without a long onboarding doc.

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