An AI-native WeChat data assistant skill that enables structured queries, automated analytical reporting, and multi-endpoint comparison for WeChat Channels and Official Accounts.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install wechat-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 wechat-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-wechat?
The maxhub-wechat skill is a robust, developer-ready integration designed to provide AI agents with read-only access to WeChat Channels (视频号) and Official Accounts (公众号) via the MaxHub API. Positioned as a versatile addition to Openclaw Skills, this tool operates as a WeChat Data Assistant, allowing developers to query, analyze, and aggregate content statistics, search results, and viewer comments without dealing with complex scraping tools.
Built for compliance and high availability, the skill performs read-only operations and uses standard API mechanisms to guarantee platform stability. By leveraging this tool through Openclaw Skills, your autonomous workflows gain access to structured analytical reports, parallelized query execution, and robust localized data output, transforming raw social analytics into highly actionable strategy.
maxhub-wechat Use Cases
- Official Account Content Monitoring: Automate the tracking of competitor publications, measure engagement trends, and generate comprehensive performance reports.
- Channels Video Analytics: Seamlessly fetch playback metrics, comment threads, and video details to measure the return on short-form video operations.
- Private Domain Strategy Auditing: Retrieve and study top-performing content and user engagement patterns to refine your private domain marketing strategies.
- Influencer Verification: Assess the authenticity of audience engagement using read-only anti-fraud tools like fake view detection before launching collaborative campaigns.
How maxhub-wechat Works
- API Key validation: Checks for the existence of the configured MAXHUB_API_KEY environment variable before issuing requests.
- Intent Classification: Matches the user's prompt against specific keywords to route queries to either the WeChat Channels (video, comments, search) or Media Platform (articles, official accounts) reference schemas.
- Action Profiling: Categorizes the execution plan into Browse (single query + brief summary), Analyze (query + structured bullet-point insights), or Compare (parallel queries + comparative side-by-side tables).
- Parallel Execution: Dispatches requests directly to the MaxHub secure endpoints using safe, concurrent HTTP calls.
- Dynamic Version Fallback: Intercepts 404, 410, or 500 error codes, automatically resolving route changes by falling back to legacy or alternate endpoint variations.
- Localized Humanization: Cleanses raw output HTML, converts numerical structures to locale-specific systems (e.g., K/M/B vs 万/亿), and formats URLs cleanly as clickable markdown.
maxhub-wechat Setup
To initialize this skill within your Openclaw Skills workflow, obtain an API key from MaxHub (https://www.aconfig.cn) and proceed with the setup steps below:
# Configure the API key using the standard OpenClaw / ClawHub CLI
openclaw config set skills.entries.maxhub-wechat.apiKey "YOUR_MAXHUB_API_KEY"
# Or, set the key using a global system environment variable
export MAXHUB_API_KEY="YOUR_MAXHUB_API_KEY"
Verify that curl is globally available on your host system, as the skill relies on this binary to execute HTTP communications.
maxhub-wechat Data Schema & Taxonomy
The maxhub-wechat skill interfaces with 24 active endpoints structured under specific schemas:
| Domain | Reference Path | Primary Endpoints | Target Use Cases |
|---|---|---|---|
| Channels | references/api-channels.md |
fetch_search_channels, fetch_video_detail, fetch_comments, fetch_live_history |
Video search, live history extraction, comment analysis |
| Media Platform | references/api-mp.md |
fetch_mp_article_list, fetch_mp_article_read_count, fetch_mp_article_detail_json |
Article content aggregation, reading count metrics, public account search |
| Utilities | Upstream Docs | detect_fake_views, standard security headers, signature / token configurations |
Compliance checks, fake engagement detection, request signatures |
All requests require a standard Bearer authentication header: Authorization: Bearer ${MAXHUB_API_KEY}.
maxhub-wechat Advanced Features
- Automated Interface Degradation: Dynamically detects 404, 410, or 500 errors on high-priority endpoints and routes inquiries to validated backup endpoints without crashing.
- Concurrent Multi-Endpoint Orchestration: Performs deep-dive comparative analyzes by parallelizing multiple REST queries in one agent interaction.
- Smart Backoff Retrying: Handles temporary network constraints or upstream rate limits (429) automatically with structured cooldown intervals.
- Bilingual Output Engine: Detects conversation locale instantly and outputs data metrics, lists, and summary insights natively formatted for the target audience.
SKILL.md
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