semantic-scholar-deep

name	semantic-scholar-deep
description	Deep research over the Semantic Scholar Graph API. Covers endpoints missing from allenai's lookup skill — paper references (backward citations), recommendations, batch paper lookup (up to 500 IDs), snippet search, and multi-hop citation graph traversal (BFS forward/backward). Use when the user asks to build a citation graph, expand a literature seed, find related work, run a reference network traversal, explore what a paper cites or what cites it beyond simple lookup, or batch-resolve many DOI/arXiv/S2 IDs. For multi-step research questions, delegate to the deep-paper-researcher subagent to keep the main context clean. Not for single paper-by-ID lookups (use semantic-scholar-lookup) or topical discovery (use web_search_advanced_exa).
allowed-tools	Bash(python3:*), Read, Write, Edit, Glob, Grep, Agent

Semantic Scholar — Deep Research

Purpose: fill the gaps that semantic-scholar-lookup (allenai) leaves — references, recommendations, batch, and multi-hop citation-graph traversal.

Contents

• Dispatch Rule — inline vs delegate; model selection
• When to Use — trigger scenarios
• Scripts — ss_client.py + citation_graph.py
• Authentication & Rate Limits
• Progressive Disclosure — deeper references
• Output Hygiene
• Integration — typical pipeline with the subagent

Dispatch Rule (read first)