No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by Francis1998 · Agent Tool · ★ 149
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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Scholar RAG Agent Scholar RAG Agent is a production-grade, local-first Agentic RAG system for scientific literature. It ingests papers from PDFs, arXiv, and Semantic Scholar; builds hybrid dense, sparse, and entity-relationship retrieval indexes; and answers research questions with multi-hop reasoning and citation-backed evidence. The project is designed for the scientific knowledge synthesis narrative behind NIW-style research impact: researchers can accelerate literature review, hypothesis validation, and grounded comparison across large corpora without losing provenance. Why Researchers Need This Most literature workflows break down when the corpus grows beyond a few papers: Issue: keyword search misses papers that use different terminology. Scholar RAG Agent combines dense semantic retrieval, BM25 sparse search, HyDE expansion, and RRF fusion so a query can match both exact terms and related scientific phrasing. Issue: single-hop RAG retrieves isolated snippets but misses evidence chains. The GraphRAG layer extracts entities and relationships, then follows bo
| Stars | 149 |
| Forks | 18 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 68.2025498231182/100 |
| Open Issues | 3 |
| Last Updated | 2026-10-02 |
| Created | 2026-06-21 |
| Platforms | gemini, python |
| Est. Tokens | ~15k |
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scholar-rag-agent is Local-first scientific literature RAG with quote-anchored evidence annotations, human paper screening, frozen provenance, and model-free research worksheets.. It is categorized as a Agent Tool with 149 GitHub stars.
scholar-rag-agent is primarily written in Python. It covers topics such as agentic-rag, anthropic, bibtex.
You can find installation instructions and usage details in the scholar-rag-agent GitHub repository at github.com/Francis1998/scholar-rag-agent. The project has 149 stars and 18 forks, indicating an active community.
The top alternatives to scholar-rag-agent on Agent Skills Hub include cognithor, bridgic, Council. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
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