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lingzhi227/agent-research-skills1.8k installs

literature-search

Search academic literature using Semantic Scholar, arXiv, and OpenAlex APIs. Returns structured JSONL with title, authors, year, venue, abstract, citations, and BibTeX. Use when the user needs to find papers, check related work, or build a bibliography.

How do I install this agent skill?

npx skills add https://github.com/lingzhi227/agent-research-skills --skill literature-search
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubfail

    This skill contains high-risk patterns including hardcoded access to a local private credential file and vulnerability to shell command injection through unsanitized user query interpolation.

  • Socketwarn

    1 alert: gptSecurity

  • Snykfail

    Risk: HIGH · No issues

  • Runlayerwarn

    4/4 files flagged

  • ZeroLeakspass

    Score: 93/100 · 2 sections analyzed

What does this agent skill do?

Literature Search

Search multiple academic databases to find relevant papers.

Input

  • $ARGUMENTS — The search query (natural language)

Scripts

Semantic Scholar (primary — best for ML/AI, has BibTeX)

python ~/.claude/skills/deep-research/scripts/search_semantic_scholar.py \
  --query "QUERY" --max-results 20 --year-range 2022-2026 \
  --api-key "$(grep S2_API_Key /Users/lingzhi/Code/keys.md 2>/dev/null | cut -d: -f2 | tr -d ' ')" \
  -o results_s2.jsonl

Key flags: --peer-reviewed-only, --top-conferences, --min-citations N, --venue NeurIPS ICML

arXiv (latest preprints)

python ~/.claude/skills/deep-research/scripts/search_arxiv.py \
  --query "QUERY" --max-results 10 -o results_arxiv.jsonl

OpenAlex (broadest coverage, free, no API key)

python ~/.claude/skills/literature-search/scripts/search_openalex.py \
  --query "QUERY" --max-results 20 --year-range 2022-2026 \
  --min-citations 5 -o results_openalex.jsonl

Merge & Deduplicate

python ~/.claude/skills/deep-research/scripts/paper_db.py merge \
  --inputs results_s2.jsonl results_arxiv.jsonl results_openalex.jsonl \
  --output merged.jsonl

CrossRef (DOI-based lookup, broadest type coverage)

python ~/.claude/skills/literature-search/scripts/search_crossref.py \
  --query "QUERY" --rows 10 --output results_crossref.jsonl

Key flags: --bibtex (output .bib format), --rows N

Download arXiv Source (get .tex files)

python ~/.claude/skills/literature-search/scripts/download_arxiv_source.py \
  --title "Paper Title" --output-dir arxiv_papers/

Key flags: --arxiv-id 1706.03762, --metadata, --max-results N

Generate BibTeX from results

python ~/.claude/skills/deep-research/scripts/bibtex_manager.py \
  --jsonl merged.jsonl --output references.bib

Workflow

  1. Expand the user's query into 2-4 complementary search queries
  2. Run Semantic Scholar search (primary) with expanded queries
  3. Run arXiv for very recent preprints (< 3 months)
  4. Optionally run OpenAlex for broader coverage
  5. Merge and deduplicate results
  6. Rank by: citations (0.3) + recency (0.3) + venue quality (0.2) + relevance (0.2)
  7. Present structured results table

Venue Quality Tiers

Tier 1: NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, CVPR, ICCV, ECCV, KDD, AAAI, IJCAI, SIGIR, WWW Tier 2: AISTATS, UAI, COLT, COLING, EACL, WACV, JMLR, TACL Tier 3: Workshops, arXiv preprints — mark with (preprint)

Output Format

Present results as a table + detailed entries with BibTeX keys. Always note preprint status.

Related Skills

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/lingzhi227/agent-research-skills/literature-search">View literature-search on skillZs</a>