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cccskills
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literature-searcher

Search CrossRef, OpenAlex, PubMed, Semantic Scholar, and optional Scopus; deduplicate results, download open-access PDFs by DOI, classify papers, monitor new results, and analyze coverage. Use when asked to search literature, monitor a topic, download an open-access paper, classify papers, or analyze literature gaps.

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Dianel555/DSkills

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See how to install

Files included (16)

  • SKILL.md2.9 KB
  • .env.example743 B
  • literature_searcher/__init__.py3.1 KB
  • literature_searcher/classifier.py11.2 KB
  • literature_searcher/crossref_searcher.py2.8 KB
  • literature_searcher/downloader.py5.3 KB
  • literature_searcher/insight.py6.0 KB
  • literature_searcher/monitor.py14.3 KB
  • literature_searcher/openalex_searcher.py3.0 KB
  • literature_searcher/pubmed_searcher.py6.1 KB
  • literature_searcher/scopus_searcher.py2.1 KB
  • literature_searcher/searcher.py3.4 KB
  • literature_searcher/semantic_scholar_searcher.py3.1 KB
  • monitor_config.json.template443 B
  • README.md3.7 KB
  • tests/test_literature_searcher.py9.7 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Literature Searcher

Run all commands from skills/literature-searcher. The package uses only the Python standard library.

Search

python -m literature_searcher.searcher search "ionogel flexible sensor" --limit 10
python -m literature_searcher.searcher search "solid electrolyte" \
  --platform openalex --platform semantic_scholar --year-from 2020 --year-to 2024

Without --platform, the command searches CrossRef, OpenAlex, PubMed, and Semantic Scholar. Scopus requires ELSEVIER_API_KEY.

Download Open-Access PDFs

python -m literature_searcher.searcher download --doi 10.1016/j.cej.2022.135593

Downloads query Unpaywall by default. Enable the optional scihub-cli fallback explicitly with --scihub-fallback auto.

Incremental Monitoring And Insight

New-Item -ItemType Directory -Force data | Out-Null
Copy-Item monitor_config.json.template data/monitor_config.json

Set queries in data/monitor_config.json, then run:

python -m literature_searcher.monitor --config data/monitor_config.json
python -m literature_searcher.insight --input data/monitor_results.json

Monitoring uses the HTTPS DeepLX endpoint in DEEPLX_ENDPOINT by default and does not require a DeepL API key. To use a local OpenAI-compatible model service, set LOCAL_LLM_BASE_URL and LOCAL_LLM_MODEL, then pass --translator local_llm. Translation failures are recorded in the result JSON and do not stop monitoring.

Python API

CapabilityImportEntry point
Multi-platform searchliterature_searcher.searchersearch_papers()
Result deduplicationliterature_searcher.searchermerge_and_deduplicate()
PDF downloadliterature_searcher.downloaderDownloader.download_by_doi()
Paper classificationliterature_searcher.classifierPaperClassifier.classify()
Incremental monitoringliterature_searcher.monitorrun_monitor()
Coverage analysisliterature_searcher.insightanalyze_coverage()

PaperClassifier.classify() and batch_classify() accept both mappings and objects with paper attributes.

Configuration

The package reads these optional variables from the process environment: LITERATURE_EMAIL, OPENALEX_EMAIL, OPENALEX_API_KEY, SEMANTIC_SCHOLAR_API_KEY, ELSEVIER_API_KEY, DEEPLX_ENDPOINT, LOCAL_LLM_BASE_URL, and LOCAL_LLM_MODEL. Copy .env.example to .env in the skill directory to load values automatically. Variables already exported by the calling shell take precedence.

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