An automated AI research pipeline that logs search results from Perplexity into a structured SQLite database with full Langfuse observability.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install agxntsix-research-logger
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 agxntsix-research-logger 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 Research Logger?
Research Logger is a specialized tool designed to bridge the gap between ephemeral AI searches and persistent knowledge management. It leverages the Perplexity API to conduct deep research and automatically stores the resulting data in a local SQLite database, ensuring that valuable insights are never lost. As a key component of the Openclaw Skills ecosystem, it allows developers to maintain a searchable history of their technical inquiries with minimal friction.
Beyond simple logging, the skill provides optional integration with Langfuse, enabling detailed tracing and observability for every research session. This makes it an ideal choice for power users who need to monitor the performance and costs of their AI interactions while building a robust, categorized repository of research data.
Research Logger Use Cases
- Archiving complex technical research for long-term project reference.
- Building a local, searchable knowledge base from AI-generated search results.
- Monitoring AI agent search performance and API usage via Langfuse tracing.
- Categorizing research sessions with custom topic tags for multi-project management.
How Research Logger Works
- The user executes a research command via the CLI, specifying a query and optional topic tags.
- The skill interfaces with the Perplexity API to retrieve high-fidelity search data and summaries.
- Results are processed and automatically written to a local SQLite database along with relevant metadata.
- If tracing is enabled, the session data is sent to Langfuse to provide insights into the AI's execution path.
- Historical data remains accessible through built-in search and filtering commands within the CLI.
Research Logger Setup
To integrate this skill into your Openclaw Skills workflow, ensure you are running Python 3.10 or higher. Install the necessary dependencies using pip:
pip install requests langfuse
Configure your environment variables to enable API access:
export PERPLEXITY_API_KEY='your_api_key'
# Optional: Configure Langfuse for tracing
export LANGFUSE_PUBLIC_KEY='your_public_key'
export LANGFUSE_SECRET_KEY='your_secret_key'
export LANGFUSE_HOST='https://cloud.langfuse.com'
Research Logger Data Schema & Taxonomy
The skill manages research data using a structured SQLite schema to ensure efficient retrieval. The following table outlines the core data points captured:
| Field | Type | Description |
|---|---|---|
| id | Integer | Unique identifier for the research entry |
| topic | String | User-provided tag for project categorization |
| query | String | The original search prompt provided to the AI |
| result | Text | The complete search output and metadata from Perplexity |
| timestamp | DateTime | Automated record of when the research was performed |
Research Logger Advanced Features
- Support for Topic Tagging to organize research into distinct workstreams.
- Integrated Langfuse Tracing for deep observability and performance monitoring.
- CLI-based search functionality to query local research history by keyword.
- Flexible search modes (Quick vs. Pro) to optimize for speed or depth depending on the task.
SKILL.md
Loading
Related Openclaw Skills
Model Intel
A dynamic utility for querying real-time OpenRouter data to find, compare, and price Large Language Models on the fly.
Deep Search
Deep Search is a sophisticated search routing engine for Openclaw Skills that leverages Perplexity AI models to provide tiered web research capabilities.
Agent Memory
A sophisticated intelligence layer providing vector search, knowledge graphs, and structured data storage for AI agents.
OpenClaw Architect
A comprehensive management and optimization tool for designing, debugging, and maintaining high-performance OpenClaw deployments.
Skill Auditor
A mandatory security auditing and quarantine system designed to evaluate third-party Openclaw Skills for safety and compliance.
AI CFO
A full AI Chief Financial Officer that integrates banking and payment data into real-time business intelligence and automated reporting.
Featured*
