A comprehensive username investigation tool for tracing digital footprints across 1000+ global and Chinese social media platforms.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install osint-social
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 osint-social 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 OSINT Social Analyzer?
The OSINT Social Analyzer provides a robust framework for tracing digital identities across the web. As part of the Openclaw Skills library, it empowers AI agents to perform comprehensive username investigations by querying over 1000 global social media platforms. It handles the complexities of network requests and data parsing to deliver high-confidence results regarding a user's online presence.
This skill is particularly effective because it combines the broad reach of the social-analyzer library with specialized scripts for regional services. By integrating this into your workflow, you can automate the tedious process of manual searching, allowing Openclaw Skills to provide structured, actionable intelligence on any given handle or alias.
OSINT Social Analyzer Use Cases
- Investigating a specific handle to map an online presence across global networks.
- Performing background checks on usernames for security research or verification.
- Auditing your own digital footprint to identify and manage public-facing accounts.
- Tracing accounts across Chinese-specific services like Bilibili, Zhihu, and Weibo.
- Verifying identity consistency by checking profile metadata like bios and follower counts.
How OSINT Social Analyzer Works
- The skill is triggered by natural language requests involving username lookups or OSINT research.
- It initiates a search across 1000+ platforms using the underlying social-analyzer engine.
- For comprehensive coverage, it optionally runs specialized scripts to probe regional platforms not covered by global tools.
- It filters the raw results based on a confidence 'rate' (0-100) to distinguish between exact matches and potential false positives.
- The skill extracts relevant metadata including profile URLs, display names, and account descriptions.
- Finally, it synthesizes this data into a conversational summary, categorizing findings into high, medium, and low confidence tiers.
OSINT Social Analyzer Setup
To get started with this entry in the Openclaw Skills catalog, ensure you have Python 3 and pip installed. Run the following command to install the necessary dependencies:
pip3 install social-analyzer --break-system-packages
You can verify the installation by running a quick test lookup:
python3 -m social-analyzer --username "testuser" --top 10 --output json --filter "good"
OSINT Social Analyzer Data Schema & Taxonomy
The skill processes data into a structured format before generating the final summary. The internal data model includes:
| Field | Description |
|---|---|
| website | The name of the social media platform detected |
| url | The direct link to the discovered profile |
| rate | A confidence score from 0 to 100 |
| status | Classification of the result (good, maybe, or bad) |
| metadata | Nested object containing bio, display name, and follower counts |
OSINT Social Analyzer Advanced Features
- Deep lookup mode for thorough extraction and multi-filter analysis.
- Regional specialization with dedicated support for Chinese social media platforms.
- Platform-specific filtering by content type (e.g., music, gaming) or country code.
- Batch processing capabilities for investigating multiple username variants simultaneously.
- Polite scanning mode to avoid rate-limiting through adjustable request speeds.
SKILL.md
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