sn-search-social-en

Searches Reddit, Twitter, and YouTube to find what people are talking about.

Installation
Run `npx skills add "https://github.com/opensensenova/sensenova-skills" --skill "sn-search-social-en"` to install this skill, then follow its SKILL.md instructions for my next request.

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What this skill does
What it does: - Searches Reddit for posts and discussions about any topic - Searches Twitter and X for tweets about any topic - Searches YouTube for videos about any topic - Lets you pick how many results you want - Lets you filter by time period, category, or how popular something is When to use it: - You want to find what people are talking about on Reddit - You need to see recent tweets about a topic - You want to find YouTube videos about something - You are researching what people think about a subject - You want to see trending discussions on social media
SKILL.mdShow the author's original SKILL.md (not in English)
---
name: sn-search-social-en
description: 用于搜索英文社交平台,包括 Reddit 帖子、Twitter/X 推文和 YouTube 视频。
---

# sn-search-social-en - 英文社交平台搜索

## 凭证配置

API key、token 与 cookie 统一建议写在仓库根目录 `.env`(参考 `.env.example`),并由 runtime 或用户在执行前加载为同名环境变量。脚本仍只从环境变量或显式 CLI 参数读取凭证;不要把真实密钥写入 skill payload、报告、日志或提交。

搜索 Reddit、Twitter/X、YouTube 三个英文社交平台。

## 可用脚本

| 脚本 | 平台 | 用途 | API 密钥 |
|------|------|------|---------|
| `reddit_search.py` | Reddit | 帖子和讨论搜索 | 无需 |
| `twitter_search.py` | Twitter/X | 推文搜索 | 需 `TIKHUB_TOKEN` |
| `youtube_search.py` | YouTube | 视频搜索 | 需 `YOUTUBE_API_KEY` |

## 依赖

首次运行或脚本提示缺库时,使用本技能的依赖清单安装到当前 Python 环境:

```bash
python3 -m pip install -r requirements.txt
```

不要在脚本内部自动安装依赖。若安装失败、网络不可用或包不可用,停止使用对应脚本并改用网页搜索,说明缺少依赖。

## 参数说明

### reddit_search.py

```bash
python3 scripts/reddit_search.py <query> [选项]
```

| 参数 | 说明 | 默认值 |
|------|------|--------|
| `query` | 搜索关键词(必填) | — |
| `--limit`, `-n` | 返回结果数量 | 10 |
| `--subreddit`, `-r` | 限定子版块(如 `python`, `machinelearning`) | — |
| `--sort` | 排序方式:`relevance`, `hot`, `top`, `new`, `comments` | relevance |
| `--time`, `-t` | 时间范围:`hour`, `day`, `week`, `month`, `year`, `all` | all |

```bash
python3 scripts/reddit_search.py "machine learning projects" --limit 5
python3 scripts/reddit_search.py "async python" --subreddit python --sort top --time month --limit 5
```

### twitter_search.py

```bash
python3 scripts/twitter_search.py <query> [选项]
```

| 参数 | 说明 | 默认值 |
|------|------|--------|
| `query` | 搜索关键词(必填) | — |
| `--limit`, `-n` | 返回结果数量 | 10 |
| `--token` | TikHub Token(也可通过 `TIKHUB_TOKEN` 环境变量设置,必填) | — |

```bash
python3 scripts/twitter_search.py "AI agents" --limit 10
python3 scripts/twitter_search.py "LLM" --token your_tikhub_token --limit 5
```

### youtube_search.py

```bash
python3 scripts/youtube_search.py <query> [选项]
```

| 参数 | 说明 | 默认值 |
|------|------|--------|
| `query` | 搜索关键词(必填) | — |
| `--limit`, `-n` | 返回结果数量 | 10 |
| `--api-key` | YouTube API 密钥(也可通过 `YOUTUBE_API_KEY` 环境变量设置,必填) | — |
| `--order` | 排序方式:`relevance`, `date`, `viewCount`, `rating` | relevance |

```bash
python3 scripts/youtube_search.py "transformer explained" --limit 5
python3 scripts/youtube_search.py "python tutorial" --order viewCount --limit 10
```

## 输出格式

标准 JSON:`{"success": true, "query": "...", "provider": "reddit|twitter|youtube", "items": [...], "error": null}`

Ships with 5 supporting files:

  • requirements.txt
  • scripts/reddit_search.py
  • scripts/search_utils.py
  • scripts/twitter_search.py
  • scripts/youtube_search.py

Mirrored from the author's public source. Install counts from the open skills registry.

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