Overview
VeriClaw is an Apple-native correction companion for OpenClaw, focused on AI agent correction, Large Language Model (LLM) supervision, hallucination remediation, role-drift diagnosis, and verification workflows. It operates as a ClawHub Skill and ClawHub Plugin, installable via `clawhub install vericlaw`. VeriClaw aims to improve the accuracy and reliability of AI agents by identifying and correcting errors.
Problem It Solves
Inaccurate AI agent outputs due to hallucinations or role drift
Target Audience: AI and machine learning developers, researchers, and engineers
Inputs
- • AI model outputs
- • Input data
- • Expected output
- • Model configuration
Outputs
- • Corrected AI model outputs
- • Error reports
- • Model performance metrics
- • Verification results
Example Workflow
- 1 AI model output analysis
- 2 Error detection
- 3 Hallucination remediation
- 4 Role-drift diagnosis
- 5 Verification
- 6 Model retraining
Sample System Prompt
Analyze the output of my AI model for potential hallucinations and correct any errors
Tools & Technologies
Alternatives
- • LangChain
- • Transformers
- • Hugging Face
FAQs
- Is this agent open-source?
- Yes
- Can this agent be self-hosted?
- Yes
- What skill level is required?
- Advanced
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VeriClaw