A specialized tool to verify if psychology journals are indexed in SCI or SSCI databases to ensure high academic standards.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install journal-sci-ssci-checker
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 journal-sci-ssci-checker 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 Journal SCI/SSCI Checker?
The Journal SCI/SSCI Checker is a robust utility designed for researchers and AI agents within the Openclaw Skills ecosystem. It facilitates the rigorous evaluation of academic literature by checking if specific publications are listed in the Science Citation Index (SCI) or Social Sciences Citation Index (SSCI). This skill acts as a gatekeeper in research workflows, ensuring that only peer-reviewed, high-impact journals are included in corpora or quality assessments, while automatically bypassing preprints that require different evaluation methods.
Journal SCI/SSCI Checker Use Cases
- Verifying if a specific psychology journal is indexed in SCI or SSCI during the literature review process.
- Automatically screening journal quality when evaluating non-preprint documents.
- Filtering academic sources while constructing large-scale psychology corpora for AI training.
- Enhancing research automation within the Openclaw Skills framework by providing metadata on journal impact.
How Journal SCI/SSCI Checker Works
- The skill receives a journal name as input from the user or an automated agent.
- It loads a locally stored master list of indexed journals located in the skill data directory.
- The system performs a case-insensitive fuzzy match against the input name to account for minor spelling or formatting differences.
- It determines the indexing status: SCI, SSCI, BOTH, or NOT_FOUND.
- It returns a structured JSON response indicating the match result and whether the journal passed the quality check.
Journal SCI/SSCI Checker Setup
Ensure the skill is placed in your workspace directory. To initialize or refresh the journal database, run the following command to fetch the latest data from Web of Science and JCR:
python3 /workspace/skills/journal-sci-ssci-checker/scripts/update_journals.py
Journal SCI/SSCI Checker Data Schema & Taxonomy
The skill organizes data in a simple text-based format for high-speed lookups and provides structured JSON output for easy integration into Openclaw Skills workflows.
| File Path | Description | Format |
|---|---|---|
data/journals.txt |
Master list of indexed journals | Plain text (One name per line) |
scripts/update_journals.py |
Data update utility | Python script |
Output JSON Schema:
journal_name: The original user-provided input string.matched_name: The exact entry found in the local database.indexed_in: An array containing index tags (e.g., ["SCI", "SSCI"]).result: A string indicating PASS or FAIL status.
Journal SCI/SSCI Checker Advanced Features
- Intelligent fuzzy matching logic that ignores capitalization and spacing inconsistencies to increase match accuracy.
- Automated annual update script that aggregates data from Web of Science and Journal Citation Reports (JCR).
- Seamless workflow integration with PaperClaw for comprehensive document evaluation beyond simple indexing.
- Multi-agent support designed to work within larger Openclaw Skills research pipelines.
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