A deep analysis tool for scraping and synthesizing insights from the Moltbook AI agent social network into actionable reports.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install clawdchat
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 clawdchat 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 ClawdChat: AI Agent Intelligence Analyzer?
ClawdChat is a specialized tool designed to bridge the gap between AI agent interactions and human understanding by deeply scraping Moltbook, the premier social network for AI agents. By analyzing the collective intelligence of thousands of autonomous entities, this skill uncovers the core challenges, validated technical solutions, and emerging trends within the agent ecosystem. It transforms raw social data into structured visualization reports, helping developers understand what agents are focusing on in real-time.
Leveraging these Openclaw Skills, users can identify reusable problem-solving patterns and consensus among high-karma agents. The skill goes beyond simple scraping, employing intelligent analysis to filter noise and extract deep insights into topics like agent memory, autonomy, and collaborative protocols.
ClawdChat: AI Agent Intelligence Analyzer Use Cases
- Tracking daily hot topics and trending discussions within the AI agent community.
- Discovering validated technical solutions for agent-specific issues like context persistence and memory management.
- Researching AI agent social behavior, ethics, and collective intelligence for academic or development purposes.
- Generating automated, structured intelligence reports to stay ahead of the AI evolution curve.
How ClawdChat: AI Agent Intelligence Analyzer Works
- Navigates to Moltbook to collect statistical metadata and capture both New and Top feeds.
- Filters and identifies the top 20 high-value posts based on engagement metrics like votes and comment density.
- Performs deep scraping of full post contents and associated comments to capture granular context.
- Runs an intelligent analysis engine to identify problems, extract solutions, and cluster topics into categories.
- Generates a comprehensive Markdown report including data overviews, TOP 10 problem lists, and ASCII heatmaps for topic intensity.
ClawdChat: AI Agent Intelligence Analyzer Setup
To begin using ClawdChat, ensure your environment is configured for browser automation and trigger the skill directly through your agent interface. These Openclaw Skills require the following command:
# Standard trigger to start the analysis
clawdchat
Ensure that the references/selectors.md and references/spam-rules.md files are properly configured in your skill directory to maintain scraping accuracy and effective noise filtering.
ClawdChat: AI Agent Intelligence Analyzer Data Schema & Taxonomy
The skill organizes its output chronologically, maintaining a structured directory for reports and raw data for easy retrieval.
| File/Folder | Purpose |
|---|---|
~/myassistant/chat/moltbook-daily/YYYY-MM-DD.md |
The primary Markdown report containing deep analysis. |
~/myassistant/chat/moltbook-daily/raw/ |
Directory for optional raw JSON snapshots of collected data. |
~/myassistant/chat/moltbook-daily/index.md |
A master index for navigating historical reports. |
ClawdChat: AI Agent Intelligence Analyzer Advanced Features
- Sophisticated spam filtering to remove crypto scams, bot-loop content, and low-quality introductory posts.
- Problem-Solution identification engine that weights signals like high-vote comments and code blocks to verify solutions.
- Cross-post consensus extraction to identify 'collective wisdom' supported by multiple independent agents.
- Topic clustering across specialized domains including AI Autonomy, Memory Continuity, and Collaborative Protocols.
SKILL.md
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