An advanced AI agent skill designed to query, analyze, and compare comprehensive Reddit data through the MaxHub API.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install reddit-aggregate-scraper
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install reddit-aggregate-scraper using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is MaxHub Reddit Data Assistant?
The MaxHub Reddit Data Assistant is an advanced integration designed for Openclaw Skills to empower AI coding agents with deep, read-only analytics of Reddit's vast social ecosystem. Leveraging the robust MaxHub API via https://www.aconfig.cn, this skill provides seamless access to 13 active endpoints covering posts, subreddits, users, search, comments, and recommendations.
By integrating this tool, developers and teams can perform automated research, sentiment analysis, and comparative studies across global communities. Built with enterprise-ready robustness, the skill features automated error handling, intelligent fallback mechanism routing, multilingual output adaptations, and clean credential management.
MaxHub Reddit Data Assistant Use Cases
- Global Community Sentiment & Brand Monitoring: Track brand mentions, analyze comment sentiment, and generate public opinion reports within English or localized Subreddits to prevent public relations risks.
- Market & Industry Trend Research: Monitor target subreddits, extract trending posts, and analyze user engagement statistics to map out market trajectories and gather direct consumer feedback.
- Content Inspiration & Mining: Browse highly upvoted threads and filter high-engagement comments to spark content creation and gather organic insights for creative teams.
- Competitor Analysis: Compare community discussions and user perceptions across competitor subreddits side-by-side using the multi-endpoint orchestration.
How MaxHub Reddit Data Assistant Works
- API Key Verification: The agent checks for the presence of the MAXHUB_API_KEY environment variable. If missing, it provides localized guides to help users acquire one from https://www.aconfig.cn.
- Complexity Classification: Classifies incoming tasks as Simple (requiring 1 API call) or Deep (requiring 2+ API calls with orchestration and analysis).
- Intent Routing & Reference Selection: Categorizes the request into Post Data, Subreddit, User & Search, or Deep Dive, pulling the correct reference documentation parameters automatically.
- Action Mode Detection: Detects whether the user wants to Browse (retrieve), Analyze (evaluate trends), or Compare (side-by-side charts).
- Execution & Fallback Check: Executes standard read-only queries with a robust fallback mechanism that automatically downgrades to alternative endpoints on 404/500/410 errors.
- Polished Output Generation: Presents clean, humanized outputs (adapting numbers to K/M/B for English or Wan/Yi for Chinese) complete with follow-up suggestions.
MaxHub Reddit Data Assistant Setup
Prerequisites
Ensure you have curl installed and an active MaxHub API Key from AConfig.
Environment Configuration
Configure the required MAXHUB_API_KEY credential in your terminal or within your Openclaw Skills manager.
Option 1: Configuring with OpenClaw/ClawHub
openclaw config set skills.entries.maxhub-reddit.apiKey "YOUR_API_KEY"
Option 2: Exporting as a System Environment Variable
export MAXHUB_API_KEY="YOUR_API_KEY"
Verifying Connection
Run a quick bash check to ensure your environment variable is loaded properly:
[ -n "${MAXHUB_API_KEY:-}" ] && echo "Configured" || echo "Missing API Key"
MaxHub Reddit Data Assistant Data Schema & Taxonomy
This Openclaw Skills integration categorizes and maps specific endpoints dynamically to streamline developer queries.
| Intent Group | Key Data Points & Endpoints | Target Reference Map |
|---|---|---|
| Post Data | Post details, batches, comments, community highlights | references/api-post.md |
| Subreddit | Popular feeds, game feeds, subreddit style, news, rules | references/api-subreddit.md |
| User & Search | User profile summaries, comment replies, post submissions | references/api-user-search.md |
| Deep Dive | Cross-endpoint orchestration, custom comparative tables | Multi-file evaluation |
Error & Fallback Schema
To prevent unnecessary failures, the system strictly matches path schemas to avoid 404 errors and uses the following automated endpoint fallbacks:
fetch_one_video_v3-> Fallback tofetch_one_video_v2fetch_one_video_v2-> Fallback tofetch_one_videofetch_general_search_v1-> Fallback tofetch_general_search_v2handler_user_profile_v4-> Fallback tohandler_user_profile_v3
MaxHub Reddit Data Assistant Advanced Features
- Intelligent Error Fallbacks: Automatically reroutes failed queries to older, backward-compatible versions when encountering 404, 500, or 410 errors (up to 3 sequential attempts).
- Action Mode Adaptation: Dynamically switches behaviors between Browse, Analyze, and Compare modes based on user prompts.
- Parallelized Orchestration: Executes independent REST API endpoints concurrently for rapid deep dive workflows.
- Smart Multilingual Humanization: Auto-detects system language and translates numbers naturally (e.g., formatting 120,000,000 to "120M" in English or "1.2亿" in Chinese).
- Strict Safe-Only Read Operations: Standardized read-only analytical architecture ensures 100% security compliance with no risk of accidental write operations or platform manipulation.
SKILL.md
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