Literature Searcher
SkillSearchSearch 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.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Literature Searcher skill
What this skill tells your AI
The instructions your AI receives, as published by dianel555/dskills in skills/literature-searcher/SKILL.md and read by ahel’s review.
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
| Capability | Import | Entry point |
|---|---|---|
| Multi-platform search | literature_searcher.searcher | search_papers() |
| Result deduplication | literature_searcher.searcher | merge_and_deduplicate() |
| PDF download | literature_searcher.downloader | Downloader.download_by_doi() |
| Paper classification | literature_searcher.classifier | PaperClassifier.classify() |
| Incremental monitoring | literature_searcher.monitor | run_monitor() |
| Coverage analysis | literature_searcher.insight | analyze_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.
Signals
- GitHub stars
- 64
- Forks
- 6
- Last commit
- Sep 2026
Advanced
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literature-searcher- Source
- github.com/dianel555/dskills