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reddit-insights红迪网见解

Agent Skill

reddit-insights 用于查找、检索和筛选相关信息,适合在 Local Agent 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

186

周安装

8

下载量

65
Local Agent

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:reddit-insights(红迪网见解)
来源仓库:https://skills.volces.com
仓库路径:reddit-insights
安装命令:
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。当前暂无明确安装命令,请以来源页面说明为准。

简介

reddit-insights 用于查找、检索和筛选相关信息。

  • 适合在 Local Agent 中根据关键词快速定位候选结果。
  • 可结合来源仓库和原始 README 继续核验具体用法。
  • 安装前建议确认权限范围、维护状态及是否涉及联网操作。
  • 当前安装方式未知,需人工核实部署细节。reddit-insights 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Reddit Insights MCP

Semantic search across millions of Reddit posts. Unlike keyword search, this understands intent and meaning.

Setup

1. Get API Key (free tier available)

  1. Sign up at https://reddit-insights.com
  2. Go to Settings → API
  3. Copy your API key

2. Install MCP Server

For Claude Desktop - add to claude_desktop_config.json:

{
  "mcpServers": {
    "reddit-insights": {
      "command": "npx",
      "args": ["-y", "reddit-insights-mcp"],
      "env": {
        "REDDIT_INSIGHTS_API_KEY": "your_api_key_here"
      }
    }
  }
}

For Clawdbot - add to config/mcporter.json:

{
  "mcpServers": {
    "reddit-insights": {
      "command": "npx reddit-insights-mcp",
      "env": {
        "REDDIT_INSIGHTS_API_KEY": "your_api_key_here"
      }
    }
  }
}

Verify installation:

mcporter list reddit-insights

Available Tools

ToolPurposeKey Params
reddit_searchSemantic search across postsquery (natural language), limit (1-100)
reddit_list_subredditsBrowse available subredditspage, limit, search
reddit_get_subredditGet subreddit details + recent postssubreddit (without r/)
reddit_get_trendsGet trending topicsfilter (latest/today/week/month), category

Performance Notes

  • Response time: 12-25 seconds (varies by query complexity)

- Simple queries: ~12-15s - Complex semantic queries: ~17-20s - Heavy load periods: up to 25s

  • Best results: Specific products, emotional language, comparison questions
  • Weaker results: Abstract concepts, non-English queries, generic business terms
  • Sweet spot: Questions a real person would ask on Reddit

Best Use Cases (Tested)

Use CaseEffectivenessWhy
Product comparisons (A vs B)⭐⭐⭐⭐⭐Reddit loves debates
Tool/app recommendations⭐⭐⭐⭐⭐High-intent discussions
Side hustle/money topics⭐⭐⭐⭐⭐Engaged communities
Pain point discovery⭐⭐⭐⭐Emotional posts rank well
Health questions⭐⭐⭐⭐Active health subreddits
Technical how-to⭐⭐⭐Better to search specific subreddits
Abstract market research⭐⭐Too vague for semantic search
Non-English queriesReddit is English-dominant

Query Strategies (Tested with Real Data)

✅ Excellent Queries (relevance 0.70+)

Product Comparisons (best results!):

"Notion vs Obsidian for note taking which one should I use"
→ Relevance: 0.72-0.81 | Found: Detailed comparison discussions, user experiences

"why I switched from Salesforce to HubSpot honest experience"
→ Relevance: 0.70-0.73 | Found: Migration stories, feature comparisons

Side Hustle/Money Topics:

"side hustle ideas that actually make money not scams"
→ Relevance: 0.70-0.77 | Found: Real experiences, specific suggestions

Niche App Research:

"daily horoscope apps which one is accurate and why"
→ Relevance: 0.67-0.72 | Found: App recommendations, feature requests

✅ Good Queries (relevance 0.60-0.69)

Pain Point Discovery:

"I hate my current CRM it is so frustrating"
→ Relevance: 0.60-0.64 | Found: Specific CRM complaints, feature wishlists

"cant sleep at night tried everything what actually works"
→ Relevance: 0.60-0.63 | Found: Sleep remedies discussions, medical advice seeking

Tool Evaluation:

"AI tools that actually save time not just hype"
→ Relevance: 0.64-0.65 | Found: Real productivity gains, tool recommendations

❌ Weak Queries (avoid these patterns)

Too Abstract:

"business opportunity growth potential"
→ Relevance: 0.52-0.58 | Returns unrelated generic posts

Non-English:

"学习编程最好的方法" (Chinese)
→ Relevance: 0.45-0.51 | Reddit is English-dominant, poor cross-lingual results

Query Formula Cheat Sheet

GoalPatternRelevance
Compare products"[Product A] vs [Product B] which should I use"0.70-0.81
Find switchers"why I switched from [A] to [B]"0.70-0.73
Money/hustle topics"[topic] that actually [works/makes money] not [scam/hype]"0.70-0.77
App recommendations"[category] apps which one is [accurate/best] and why"0.67-0.72
Pain points"I hate my current [tool] it is so [frustrating/slow]"0.60-0.64
Solutions seeking"[problem] tried everything what actually works"0.60-0.63

Response Fields

Each result includes:

  • title, content - Post text
  • subreddit - Source community
  • upvotes, comments - Engagement metrics
  • relevance (0-1) - Semantic match score (0.5+ is good, 0.6+ is strong)
  • sentiment - Discussion/Q&A/Story Sharing/Original Content/News
  • url - Direct Reddit link

Example response:

{
  "id": "1oecf5e",
  "title": "Trying to solve the productivity stack problem",
  "content": "The perfect productivity app doesn't exist. No single app can do everything well, so we use a stack of apps. But this creates another problem: multi app fragmentation...",
  "subreddit": "productivityapps",
  "upvotes": 1,
  "comments": 0,
  "relevance": 0.631,
  "sentiment": "Discussion",
  "url": "https://reddit.com/r/productivityapps/comments/1oecf5e"
}

Tips

  1. Natural language works best - Ask questions like a human would
  2. Include context - "for small business" or "as a developer" improves results
  3. Combine emotion words - "frustrated", "love", "hate", "wish" find stronger opinions
  4. Filter by engagement - High upvotes/comments = validated pain points
  5. Check multiple subreddits - Same topic discussed differently in r/startups vs r/smallbusiness

Example Workflows

Find SaaS opportunity:

  1. reddit_search: "frustrated with project management tools for remote teams"
  2. Filter results with high engagement
  3. Identify recurring complaints → product opportunity

Validate idea:

  1. reddit_search: "[your product category] recommendations"
  2. See what alternatives people mention
  3. Note gaps in existing solutions

Content research:

  1. reddit_get_subreddit: Get posts from target community
  2. reddit_search: Find specific questions/discussions
  3. Create content answering real user questions

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Local Agent

93.48%
按下载量换算61

安全审计

暂无安全审计结果可展示。

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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