A specialized tool for validating academic citations and detecting AI-generated hallucinations across global research databases.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install paper-reference-checker
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install paper-reference-checker using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Paper Reference Checker is a robust utility within the Openclaw Skills framework designed to ensure the integrity of academic writing. By systematically cross-referencing bibliographies against authoritative sources like Google Scholar, arXiv, and CNKI, it identifies fabricated or non-existent citations often produced by large language models. This skill provides researchers and developers with a reliable way to audit papers, verify DOIs, and maintain high standards of academic rigor.
Built to be token-efficient, this tool handles various input types ranging from raw PDF uploads to direct Overleaf and arXiv links. It serves as a critical layer of defense against AI hallucinations, providing peace of mind for anyone using automated agents to assist in research or literature reviews through Openclaw Skills.
To integrate this capability into your workflow, ensure your environment is configured for Openclaw Skills. Use the following commands to get started:
# Install the Paper Reference Checker skill
openclaw add paper-reference-checker
# Configure access for specialized databases if necessary
openclaw config paper-reference-checker --set-api-keys
The Paper Reference Checker organizes its verification logic and results using the following structure:
| Component | Description |
|---|---|
references/ |
Directory containing rules for extraction and search tactics. |
scripts/ |
Contains the core decision tree logic for authenticity judgment. |
examples/ |
Provides sample BibTeX files and annotated verification reports. |
Citations are processed into a metadata taxonomy including labels like VERIFIED (confirmed in ≥1 DB), NOT FOUND (no matches across channels), and FABRICATED (non-existent venue or unresolvable DOI).
Loading
Buddy is an interactive ASCII pet companion named Flicker that provides personality-driven commentary and snarky feedback within your AI agent workspace.

A high-performance web search skill leveraging the Baidu AI Search Engine to provide real-time information and research capabilities to AI agents.

An engineering operating model designed to optimize team workflows, architecture, and testing standards for AI-assisted code generation.

A specialized AI assistant that guides users through a multi-step dialogue to draft professional Chinese invention patent documents including claims and descriptions.

An advanced research and analysis skill that implements a Perplexity-style multi-step methodology for deep investigation and actionable insights.

Apollo Circadian is an intelligent scheduling skill that synchronizes AI task execution with human biological rhythms to maximize cognitive efficiency.








































