dianel555/dskills/literature-searcher

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

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.