A comprehensive intelligence tool for auditing Reddit users, researching subreddit governance, and monitoring platform-wide trending search topics.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install keyapi-reddit-user-analysis
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 keyapi-reddit-user-analysis 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 KeyAPI Reddit User Analysis?
The KeyAPI Reddit User Analysis skill is a high-performance research tool designed for the Openclaw Skills ecosystem. It provides deep visibility into the Reddit ecosystem by connecting to the KeyAPI MCP service, allowing developers and researchers to programmatically retrieve user profiles, karma breakdowns, and public trophies. Beyond individual user metrics, it offers extensive community insights, including subreddit rules, moderation settings, and content taxonomies.
This skill is built with efficiency in mind, featuring a robust cache-first architecture that minimizes redundant API calls and preserves your quota. Whether you are performing cybersecurity audits, sentiment analysis, or community research, this Openclaw Skills integration provides the structured data needed for sophisticated platform intelligence.
KeyAPI Reddit User Analysis Use Cases
- User Credibility Assessment: Evaluate account age, karma distribution, and public trophies to determine user authenticity.
- Community Interest Profiling: Identify the specific subreddits where a target user is most active to map interest areas.
- Governance Research: Audit subreddit rules, style guidelines, and moderation policies for compliance or academic study.
- Trend Intelligence: Monitor platform-wide trending searches and emerging discussions in real-time.
- Content Discovery: Utilize dynamic multi-type search to find specific posts, comments, or media across the entire platform.
How KeyAPI Reddit User Analysis Works
- Identify Target: Select a Reddit user or subreddit and determine which specific nodes (e.g., user profile vs. subreddit rules) are required for the research goal.
- Resolve Identifiers: Use the search or info tools to convert display names (subreddit_name) into internal system IDs (subreddit_id) where required.
- Schema Verification: Inspect the input schema for the chosen tool to ensure all required parameters, such as search_type or time_range, are correctly formatted.
- Cache Check: The system checks the local .keyapi-cache directory to see if a valid response for the query already exists.
- API Execution: If no cache is found, the skill calls the KeyAPI MCP server via a secure Bearer token authorization.
- Data Synthesis: The skill processes the raw JSON response, applies formatting if requested, and generates a structured report.
KeyAPI Reddit User Analysis Setup
To get started with this skill in the Openclaw Skills environment, ensure you have Node.js v18+ installed and a valid token from KeyAPI.
# 1. Install necessary dependencies
npm install
# 2. Configure your environment variable
export KEYAPI_TOKEN=your_token_here
# 3. Verify the setup by listing available tools
node scripts/run.js --platform reddit --list-tools
KeyAPI Reddit User Analysis Data Schema & Taxonomy
The skill organizes data within a date-partitioned local cache. Responses are stored as hashed JSON files based on the input parameters.
| Directory Layer | Description |
|---|---|
.keyapi-cache/ |
Root directory for all cached intelligence. |
YYYY-MM-DD/ |
Daily partitions to ensure data freshness. |
tool_name/ |
Sub-folders named after the specific node (e.g., fetch_user_profile). |
{params_hash}.json |
The stored API response payload. |
KeyAPI Reddit User Analysis Advanced Features
- Cache-First Policy: Automatically prioritizes local disk storage to reduce latency and API costs.
- Dynamic Search Filtering: Advanced parameters for safe_search, allow_nsfw, and time_range filtering across five different content types.
- Automatic Retries: Built-in logic to handle 500-level errors with a 3-step exponential backoff.
- Sanitized Output: The optional need_format parameter allows for cleaned, human-readable data structures perfect for LLM consumption.
- Trend Monitoring: Parameter-less endpoint to pull the latest trending topics across the entire Reddit platform.
SKILL.md
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