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from edwinhu
Search academic literature across multiple sources, deduplicate results, resolve DOIs, and surface trusted papers with concise takeaways.
This skill runs a multi-source academic literature search that parallelizes queries across scholar lookup, consensus, and a personal bib. It deduplicates results, resolves DOIs and journals, and produces a ranked JSON output with citations and takeaways—ideal for literature reviews and citation discovery.
Use this skill when asked to find academic papers, perform literature searches, gather citations, or summarize what the research says on a topic (e.g., "find papers on X", "literature review of Y"). It's designed for queries that benefit from cross-source aggregation and DOI resolution.
scripts/research.py (parallelizes sources, supports streaming and batch modes)domain-knowledge.local.md file for trusted-journal checkspython3 scripts/research.py "<query>" [--n N] [--min-citations N]Likely compatible with agents that can run Python scripts and call external CLIs (Claude Code, generic LLM agents with script-run capabilities).
Academic literature search skill that queries multiple sources (Google Scholar, Consensus, Paperpile bib) in parallel, deduplicates by DOI/title, and resolves SSRN DOIs via CrossRef. Script is well-written with clear structure, error handling, and streaming support. Failed to run due to missing required 'query' argument (expected in audit context) and missing external dependencies (scholar CLI, consensus binary). Hardcoded paths to a specific user's Google Drive and local binary make portability poor.
scholarconsensus-cliuvClean security posture — no suspicious network calls (only CrossRef API), no hardcoded credentials, no destructive commands. Main concerns are portability (hardcoded user-specific paths) and dependency management (no requirements file). Skill is well-architected with clear SKILL.md, output schema, and progressive disclosure. Useful concept but limited by setup requirements.
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