A comprehensive research tool for accessing the Sefaria library of Jewish texts directly within your AI agent workflow.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install torah-scholar
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 torah-scholar 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 Torah Scholar?
Torah Scholar is a specialized integration for Openclaw Skills that provides deep access to the Sefaria API, the world's leading open-source library of Jewish texts. This skill allows developers and researchers to query the Tanach, Talmud, Mishnah, and Midrash, along with thousands of classical and modern commentaries.
By bridging AI agents with sacred literature, it enables seamless source sheet creation, verse lookups, and scholarly research within a technical environment. Whether you are building an educational application or conducting deep theological research, this skill brings the breadth of the Jewish digital library to your fingertips.
Torah Scholar Use Cases
- Researching specific biblical verses or talmudic passages for academic or personal study.
- Generating a structured Dvar Torah based on the weekly Parsha or specific thematic focuses.
- Automating the retrieval of cross-referenced commentaries like Rashi, Ramban, and Ibn Ezra for source sheets.
- Staying updated with daily learning schedules including Daf Yomi or the current Torah portion.
- Integrating Jewish textual data into larger AI-driven educational or religious software projects.
How Torah Scholar Works
- The user initiates a request via the CLI or Python API using a specific reference or search query.
- The skill connects to the Sefaria API to fetch the requested text, translation, or metadata.
- For reference lookups, it parses standard formats such as "Genesis 1:1" or "Berakhot 2a" to retrieve precise segments.
- When searching, it performs full-text queries across the entire digital library to find relevant matches.
- The skill returns formatted Markdown output containing both Hebrew and English texts, along with relevant links to related commentaries and cross-references.
Torah Scholar Setup
To get started with this skill for Openclaw Skills, ensure your environment can reach the Sefaria API. No local database is required.
# Check the current weekly Torah portion
torah parsha
# Look up a specific verse with translation
torah verse "Leviticus 19:18"
# Find commentaries for a specific text
torah links "Genesis 1:1"
Torah Scholar Data Schema & Taxonomy
The Torah Scholar skill organizes its data based on the Sefaria taxonomy for clear retrieval.
| Data Type | Description |
|---|---|
| Text Object | Contains the primary Hebrew string and the corresponding English translation. |
| Links | A collection of related texts, cross-references, and classical commentaries. |
| Calendar Data | Daily metadata including the current Parsha name and Daf Yomi reference. |
| Search Results | A ranked list of matches featuring text snippets and precise source citations. |
Torah Scholar Advanced Features
- Full-text search support for both English and Hebrew queries to find specific concepts.
- Automated Dvar Torah generation with a structured logical flow including hook, problem, and resolution.
- Direct Python API access for building custom scripts and automation workflows using the Sefaria library.
- Support for complex reference ranges and partial chapter lookups for flexible data retrieval.
- Intelligent Talmud context handling that automatically includes relevant amud context for daf references.
SKILL.md
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