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Agent Skill · 研究检索

redditrank(redditrank 搜索)

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。

redditrank 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 20,853。

总安装 5,069周安装 202GitHub Stars 公开资料未说明下载 1,681核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.2

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

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install redditrank;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

redditrank 怎么安装?

在终端执行 openclaw skills install redditrank。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

redditrank 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

redditrank 需要什么权限?

权限级别是接触敏感数据。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。

redditrank 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

redditrank 用的人多吗?

公开数据是累计安装 5,069 次,近一周安装 202 次,下载 1,681 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

redditrank 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
redditrank

redditrank 搜索 · 本页

5,069—接触敏感数据MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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]

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

接触敏感数据

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。目前只有一个公开来源,建议同时核对源仓库。

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