Token导航 LogoToken导航TokenDH.com
研究检索敏感数据clawhub未标认证来源可访问clear审计通过

redditrankredditrank 搜索

Agent Skill

redditrank 用于查找、检索和筛选相关信息,适合在 OpenClaw 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

5,069

周安装

202

GitHub Stars

公开资料未说明

下载量

1,681
OpenClaw

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。

GitHub

来源数

2

许可证

MIT-0

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:redditrank(redditrank 搜索)
来源仓库:https://github.com/aces1up/redditrank
安装命令:
openclaw skills install redditrank
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。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install redditrank

简介

查找在 Google 首页排名的 Reddit 帖子,并生成自然提及产品的回复。

  • 适用于 SEO 优化、竞品监控或潜在客户挖掘等研究场景。
  • 自动起草上下文相关回复,便于快速复制粘贴发布。redditrank 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 需注意内容合规性与平台政策,避免 spam 行为。
  • 安装前请核实 token 权限与网络访问能力。

SKILL.md

name
redditrank
description
Find Reddit threads ranking on Google Page 1 for your keywords. AI drafts contextual replies that naturally mention your product. Copy, paste, post. Free organic traffic.
version
1.0.2
metadata
openclaw
requires
env
bins
primaryEnv
REDDITRANK_API_KEY
emoji
📊
homepage
https://clawagents.dev/redditrank
tags
license
MIT

RedditRank

Find Reddit threads ranking on Google Page 1 for your keywords, then draft AI replies that naturally fit your product into the conversation.

Setup

Before first use, run the setup script to get your API key:

bash setup.sh

This sends a verification code to your email, then stores your API key in your OpenClaw config. Free tier includes 10 discovers and 5 drafts per day.

If you already have a key, set it as an environment variable:

export REDDITRANK_API_KEY=rr_sk_your_key_here

What This Skill Does

You are a Reddit marketing agent. When the user wants to find Reddit threads for their product or draft replies to Reddit threads, use the RedditRank API.

There are two main workflows:

  1. Discover — Find high-opportunity Reddit threads for a product
  2. Draft — Generate an AI reply for a specific thread

API Reference

Base URL: https://clawagents.dev/reddit-rank/v1

All requests require the header: x-api-key: $REDDITRANK_API_KEY

1. Discover Threads

POST /discover/stream (SSE streaming, preferred) POST /discover (JSON response)

Find Reddit threads ranking on Google for your keywords. Accepts a product URL, description, or raw keyword.

Request body:

{
  "product_url": "https://example.com",
  "product_description": "CRM for real estate agents",
  "keyword": "best CRM for realtors",
  "limit": 20,
  "include_reddit_fresh": true
}

Use ONE of: product_url, product_description, or keyword. The API auto-generates search keywords from URLs and descriptions.

The streaming endpoint (/discover/stream) returns SSE events:

  • step — pipeline progress (scan, keywords, google, reddit, rank)
  • keywords — generated search keywords
  • analysis — product analysis (name, category, ICP, competitors)
  • google — Google-ranked threads found
  • reddit — fresh Reddit threads found
  • done — final results with all threads and summary

The JSON endpoint (/discover) returns the full result in one response.

Each thread in the response contains:

  • id, url, title, subreddit, selftext
  • score (upvotes), num_comments, age_days
  • serp_position (Google ranking, for google threads)
  • opportunity_score (1-10, higher is better)
  • is_commentable (whether the thread accepts new comments)
  • top_comments (top 5 comments with author, body, score)

2. Draft a Reply

POST /draft/stream (SSE streaming, preferred) POST /draft (JSON response)

Generate an AI reply for a specific Reddit thread that naturally mentions your product.

Request body:

{
  "thread": {
    "url": "https://reddit.com/r/saas/comments/abc123/...",
    "title": "Best CRM for real estate?",
    "subreddit": "saas",
    "selftext": "Looking for recommendations...",
    "top_comments": [
      {"author": "user1", "body": "I use HubSpot...", "score": 15}
    ]
  },
  "product": {
    "name": "RealtyDesk",
    "url": "https://realtydesk.com",
    "description": "CRM built for real estate agents"
  },
  "options": {
    "mode": null,
    "max_words": 150,
    "tone": "casual"
  }
}

Thread data: pass whatever you have. The url is required. If you have thread data from a discover call, pass all of it. The API will fetch missing data if needed.

Options:

  • mode: "product_drop" (mention product by name), "value_first" (helpful reply, no mention), or null (auto-detect based on fit score)
  • max_words: 50-500, default 150
  • tone: optional tone guidance

The streaming endpoint returns SSE events:

  • thread — fetched thread info
  • category — detected thread category
  • fit — product-thread fit score and reasoning
  • draft_preview — draft being generated
  • qa — quality score and verdict
  • done — final draft with all metadata

Response includes:

  • draft — the reply text, ready to copy/paste
  • mode — which mode was used (product_drop or value_first)
  • fit_score — product-thread fit (1-10)
  • fit_details — thread intent and reasoning
  • qa — quality metrics (composite score, verdict, attempts, dimensions)

3. Check Usage

GET /usage

Returns current usage stats for your API key.

{
  "tier": "free",
  "discovers_today": 3,
  "drafts_today": 2,
  "limits": {"discovers_per_day": 10, "drafts_per_day": 5}
}

4. Fetch Thread

POST /thread/fetch

Fetch full thread data from a Reddit URL.

{"url": "https://reddit.com/r/saas/comments/abc123/..."}

5. Analyze Thread

POST /thread/analyze

Fetch and analyze a thread for opportunity scoring without running the full discover pipeline.

{
  "url": "https://reddit.com/r/saas/comments/abc123/...",
  "product": {"name": "RealtyDesk", "url": "https://realtydesk.com", "description": "CRM for agents"}
}

Workflows

Full Pipeline (Recommended)

When the user says something like "find Reddit threads for my product" or "help me get organic traffic from Reddit":

  1. Ask what their product is (URL or description)
  2. Call POST /discover/stream with the product info
  3. Present the top threads, sorted by opportunity score
  4. For the best threads, offer to draft replies
  5. Call POST /draft/stream for each thread the user wants to reply to
  6. Show the draft and offer to copy it
  7. Remind them to open the thread link and paste the reply

Quick Draft

When the user provides a specific Reddit thread URL and wants a reply:

  1. Call POST /draft/stream with the thread URL and product info
  2. Show the draft, fit score, and QA score
  3. If QA score is low, mention the user may want to edit before posting

Keyword Research Only

When the user just wants to find threads without drafting:

  1. Call POST /discover with the keyword or product
  2. Present results grouped by Google-ranked vs fresh Reddit threads
  3. Highlight the top 3-5 by opportunity score

Important Rules

  • Never auto-post to Reddit. Always show the draft and let the user decide.
  • When presenting threads, always show: title, subreddit, opportunity score, age, and comment count.
  • When presenting drafts, always show: the draft text, mode used, fit score, and QA score.
  • If the user's product is vague, ask for more detail before calling discover.
  • Remind users that Reddit values authentic contributions. The best replies add genuine value to the conversation.
  • Free tier: 10 discovers/day, 5 drafts/day. If they hit limits, suggest upgrading at https://clawagents.dev/redditrank

Error Handling

If the API returns an error:

  • RATE_LIMIT_EXCEEDED — user hit their daily limit. Tell them and suggest upgrading.
  • INVALID_API_KEY — key is bad. Tell them to run bash setup.sh again.
  • Network/timeout errors — retry once, then tell the user the API may be temporarily down.

Example Interaction

User: Find Reddit threads where I can promote my budgeting app

Agent: Let me search for Reddit threads ranking on Google for budgeting apps.

*Calls POST /discover/stream with product_description: "Personal budgeting app that connects to bank accounts and tracks spending automatically"*

Found 12 threads:

Google-Ranked (appearing on Google Page 1):

  1. "Best budgeting apps 2026?" in r/personalfinance (opp: 8.5/10, 47 comments, Google #3)
  2. "Mint alternative recommendations" in r/FinancialPlanning (opp: 7.2/10, 23 comments, Google #7)

Fresh Reddit Threads:

  1. "Just started budgeting, what app do you use?" in r/budgeting (opp: 9.1/10, 12 comments, 2 days old)

Want me to draft a reply for any of these?

User: Draft a reply for thread 3

*Calls POST /draft/stream with thread URL and product info*

Draft (value_first mode, fit: 8/10, QA: 7.5/10):

Congrats on starting. The hardest part is just deciding to do it. I bounced between spreadsheets and a couple apps before finding one that stuck. The thing that made the difference for me was automatic bank syncing. Having to manually enter everything killed my motivation after about a week. Once I switched to an app that pulled transactions automatically, I actually kept up with it. Been going 4 months now and honestly surprised how much I was spending on subscriptions I forgot about.

[Copy Draft] [Open Thread]

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

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

OpenClaw

78.1%
按下载量换算1,313

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

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

继续浏览同类 Skills