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reddit-spy红迪特间谍

Agent Skill

reddit-spy 用于处理浏览器自动化、网页检查和页面信息提取,适合在 OpenClaw 中需要让 Agent 打开页面、读取网页或验证前端流程时使用。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。

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周安装

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GitHub Stars

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下载量

6,130
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:reddit-spy(红迪特间谍)
来源仓库:https://github.com/hioliver933/reddit-spy
安装命令:
openclaw skills install reddit-spy
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 reddit-spy

简介

用于处理浏览器自动化、网页检查和页面信息提取,适合在 OpenClaw 中需要让 Agent 打开页面时使用。

  • 提供隐秘的 Reddit 情报浏览和分析功能。
  • 多层回退机制确保不被屏蔽,支持 OAuth API 和 Stealth HTTP。
  • 安装命令为 openclaw skills install reddit-spy,需确认权限范围和维护状态。
  • 使用前请核实是否会触发联网、命令执行或文件读写等敏感操作。

SKILL.md

name
reddit-spy
description
Stealth Reddit intelligence -- browse, read, and analyze any subreddit without getting blocked. Multi-layer fallback (OAuth API -> Stealth HTTP -> Browser Stealth -> PullPush archive).

Reddit Spy -- Stealth Subreddit Intelligence

Browse any target subreddit, read full posts, analyze strategies, and extract competitive intelligence -- all without getting blocked by Reddit.

Entry point:

python3 /root/.openclaw/skills/reddit-spy/scripts/reddit_spy.py <command> [options]

All commands output JSON to stdout. Logs go to stderr.


Setup

Tor (primary, already running): Tor provides real-time Reddit access from any IP. It's running on this VPS as a systemd service.

# Verify Tor is running
systemctl status tor@default

# If stopped, start it
systemctl start tor@default

Optional: Reddit OAuth (even more reliable): If you have Reddit API access, set these env vars for 60 req/min:

export REDDIT_CLIENT_ID="your-app-client-id"
export REDDIT_CLIENT_SECRET="your-app-secret"
export REDDIT_USERNAME="your-reddit-username"
export REDDIT_PASSWORD="your-reddit-password"

Optional: Proxy:

export REDDIT_PROXY_URL="http://user:pass@proxy:port"

Fetching Layers (Cascade Order)

LayerMethodSpeedDataStatus
1. OAuth APIReddit API v2FastFull real-timeOptional (needs API key)
2. TorSOCKS5 via Tor exit nodesFastFull real-timeACTIVE -- primary layer
3. Stealth HTTPold.reddit.com directFastFull real-timeBlocked on VPS IPs
4. Browser StealthPlaywrightSlowFull real-timeBlocked on VPS IPs
5. PullPushArchive APIFastHistorical (may lag)Always works

Each command tries layers in order, falls through on failure. Layer health is cached for 1 hour. Tor auto-rotates circuits (new IP) on rate limits.


Commands

spy -- Comprehensive Subreddit Intelligence

Full scan: about info + top posts + strategy analysis in one pass.

python3 .../reddit_spy.py spy --subreddit IndieHackers --sort top --timeframe week --limit 25
ParamDefaultValues
--subreddit(required)Subreddit name without r/
--sorttophot, new, top, rising
--timeframeweekhour, day, week, month, year, all
--limit25Max posts to analyze

Returns: about metrics, posts fetched, content type breakdown, hook patterns, timing analysis, top 5 posts, actionable recommendations.

deep-read -- Full Post Deep Dive

Read complete post body + all nested comments with statistics.

python3 .../reddit_spy.py deep-read --url "https://www.reddit.com/r/.../comments/..." --depth 8

Returns: full post, flattened comment list (author, body, score, depth, is_op), comment stats.

bulk-scan -- Multi-Subreddit Sweep

Scan multiple subreddits in one run with comparison.

python3 .../reddit_spy.py bulk-scan --subreddits "IndieHackers,SaaS,Entrepreneur" --timeframe all --limit 20

Returns: per-subreddit strategy analysis + cross-sub comparison (ranked by subscribers and engagement).

strategy -- Strategy Pattern Extraction

Extract what content strategies work best in a subreddit.

python3 .../reddit_spy.py strategy --subreddit SaaS --sort top --timeframe month --limit 50

Returns: content types ranked, hook patterns ranked, best posting hours/days, top 5 posts, recommendations.

search -- Keyword Search

Search within a subreddit for specific topics.

python3 .../reddit_spy.py search --subreddit IndieHackers --query "growth strategy" --sort top --timeframe month

user-intel -- User Profile Analysis

Analyze a Reddit user's posting patterns across subreddits.

python3 .../reddit_spy.py user-intel --username some_user --limit 25

Returns: total posts, subreddit distribution, content patterns, hook analysis.

health-check -- Test Layers

Test which fetching layers are currently working.

python3 .../reddit_spy.py health-check --test-sub python

Radar's Intelligence Workflow

Step 1: Health check

python3 .../reddit_spy.py health-check

Verify which layers are operational before starting analysis.

Step 2: Bulk scan targets

python3 .../reddit_spy.py bulk-scan --subreddits "IndieHackers,SaaS,Entrepreneur,Automation" --timeframe week --limit 25

Step 3: Deep-dive top posts

Pick high-scoring posts from Step 2 and read full content + comments:

python3 .../reddit_spy.py deep-read --url "https://reddit.com/r/.../comments/..."

Step 4: Profile top contributors

python3 .../reddit_spy.py user-intel --username top_poster

Step 5: Search for topic gaps

python3 .../reddit_spy.py search --subreddit IndieHackers --query "automation" --sort top

Strategy Analysis Output

The spy, bulk-scan, and strategy commands return:

  • content_types: question, how-to, tip, showcase, list, discussion, link -- with avg score/comments per type
  • hook_patterns: question, number, bracket, emotional, personal, neutral -- with engagement metrics
  • timing_by_hour: UTC hours ranked by avg score
  • timing_by_day: days of week ranked by avg score
  • top_5_posts: highest scoring with title, score, and type classification
  • recommendations: actionable insights (best type, hook, time, day)

Safety & Limits

  • Read-only: never posts, comments, votes, or interacts
  • Rate limited: jittered 3-8s delays between requests
  • OAuth: respects Reddit API 60 req/min limit
  • PullPush: historical archive, data may lag weeks/months behind real-time

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

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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

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按下载量换算4,809

安全审计

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可疑

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Static analysis

未展示

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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