Ancient Near East Research

Trust Score 86/100

Academic research assistant for Biblical Hebrew, Semitic linguistics, and comparative Ancient Near Eastern studies — fetch texts (Sefaria), query cuneiform DBs

triggers:SefariacuneiformCDLIORACCfind papersextract from PDFJSTORacademic search

GitHub SKILL.md

What it does

Ancient Near East Research provides an academic research toolkit inside an agent environment. It enables retrieval of Hebrew Bible passages (with vocalization and commentaries) via the Sefaria API, access to cuneiform databases (CDLI and ORACC) for Akkadian/Sumerian primary sources, and progressive web discovery: broad neural search (Omnisearch/Exa), page extraction and PDF parsing (Firecrawl), and stealth extraction patterns for bot-protected academic sites (Obscura). The skill bundles scripts for fetching texts, compiling quotations, and OCRing scanned PDFs with a Mistral-based pipeline.

When to use it

Use this skill for literature reviews, comparative philological queries, citation collection, and academic source extraction where canonical texts (Hebrew, Ugaritic, Akkadian) or hard-to-find papers are required. Triggers include Hebrew quotations, requests to 'find papers' or 'search JSTOR/Google Scholar', PDF extraction, and any query referencing Sefaria, CDLI, ORACC, or ANE topics (Minoan, Ugaritic, Tehom/Tiamat comparisons).

What's included

Scripts: fetch_sefaria.py, fetch_cuneiform.py, compile_quotations.py, mistral_ocr_pdf.py, ane_stealth_fetch.sh
References: curated passages, domain lists, and extraction patterns in the references/ directory
Instructions: Includes examples for Sefaria API calls, cuneiform P-number lookups, and a tiered escalation ladder for discovery and extraction.

Compatible agents

Designed for Claude Code style agents and CLI-driven agent frameworks that can run bundled Python scripts and shell helpers. Works well with agents that can call external scripts and handle structured academic output.

Audit Summary

Academic research skill for Biblical Hebrew, Semitic linguistics, and cuneiform studies. Provides Sefaria API access, CDLI/ORACC database queries, JSTOR browser automation, OCR via Mistral, and a stealth fetch wrapper for academic sites. Only fetch_sefaria.py ran cleanly (--help); others need external dependencies (mistralai, PyMuPDF, obscura) or local data directories. SKILL.md is exceptionally detailed with a tiered discovery system and Hebrew term index. Niche but well-crafted for its domain.

Watch Out

Requires MISTRAL_API_KEY env var for OCR functionality
compile_quotations.py hardcodes ~/Desktop/Thera-Knossos-Minos-Paper/ path
ane_stealth_fetch.sh requires obscura CLI installed at ~/tools/obscura/
fetch_jstor.py requires agent-browser and JSTOR account authentication
Cross-references other skills (omnisearch, exa-search, firecrawl) that may not be present

Missing Dependencies

mistralaiPyMuPDFobscura

Notes

Well-structured academic research tool. No security concerns — all API calls are to legitimate public academic databases. The 'stealth fetch' is documented as extracting publicly visible metadata, not bypassing paywalls. Niche audience but fills a genuine research gap. Missing reference files (hebrew-passages.md, cuneiform-databases.md, etc.) are cited in SKILL.md but not bundled.

Information

Repository: claude-code-minoan
Stars: 22
Installs: 0

Trust Score

Overall86

Security95

Code Quality78

Architecture74

Usefulness38

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