Torah Scholar

Search and explore Jewish texts (Torah, Tanach, Talmud, Midrash, commentaries) via Sefaria API. Use when researching Torah sources, looking up verses, findin...

This skill appears coherent and limited to Sefaria API usage, but note a few practical points before installing: (1) it makes outbound HTTPS requests to https://www.sefaria.org — any queries you run will be visible to that service, so avoid sending sensitive private data through the skill; (2) Sefaria enforces rate limits — heavy automated use may be curtailed or require coordination with Sefaria; (3) the code is short and reviewable (scripts/sefaria.py and scripts/dvar.py) — if you require extra assurance, inspect the files locally to confirm there are no modifications; (4) the agent can call the skill autonomously by default (normal for skills) — if you want to limit automated queries, restrict invocation or monitor usage. Overall the package is internally consistent with its documented purpose.

Type: OpenClaw Skill Name: torah-scholar Version: 1.0.1 The OpenClaw skill 'torah-scholar' is designed to interact with the Sefaria API for Jewish text research. The code (`scripts/dvar.py`, `scripts/sefaria.py`) uses standard Python libraries (`urllib.request`, `json`, `re`) to make HTTP requests to the legitimate `sefaria.org` domain. User inputs are properly URL-encoded using `urllib.parse.quote` and `urllib.parse.urlencode` before being sent to the API, mitigating injection risks. HTML stripping is performed on API responses. There is no evidence of data exfiltration, malicious execution, persistence mechanisms, or prompt injection attempts against the AI agent in any of the provided files. All external links in documentation point to legitimate resources. The skill's behavior is fully aligned with its stated purpose.