mlava/scholar-sidekick-python
Resolve scholarly identifiers (DOI, PMID, PMCID, ISBN, arXiv, ISSN, ADS bibcode, WHO IRIS URL) into formatted citations (10,000+ CSL styles) and bibliography exports (BibTeX, RIS, EndNote, CSV…), verify a claimed citation against the record its identifier actually resolves to, and audit a reference list of any length for fabricated and retracted entries — from Python via the `scholar-sidekick` package. Wraps the public REST API; needs Python ≥3.9 but no API key for the free tier. Use when the agent runs Python (a script, a notebook, a data pipeline) and the user wants to cite, export, verify, or audit references by DOI, PMID, PMCID, ISBN, arXiv ID, ISSN, ADS bibcode, or WHO IRIS URL — especially a bibliography longer than 25 entries, which this client chunks and paces automatically.
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tile.json
{
"name": "mlava/scholar-sidekick-python",
"version": "0.1.0",
"summary": "Resolve scholarly identifiers (DOI, PMID, PMCID, ISBN, arXiv, ISSN, ADS bibcode, WHO IRIS URL) into formatted citations (10,000+ CSL styles) and bibliography exports (BibTeX, RIS, EndNote, CSV…), verify a claimed citation against the record its identifier actually resolves to, and audit a reference list of any length for fabricated and retracted entries — from Python via the `scholar-sidekick` package. Wraps the public REST API; needs Python ≥3.9 but no API key for the free tier. Use when the agent runs Python (a script, a notebook, a data pipeline) and the user wants to cite, export, verify, or audit references by DOI, PMID, PMCID, ISBN, arXiv ID, ISSN, ADS bibcode, or WHO IRIS URL — especially a bibliography longer than 25 entries, which this client chunks and paces automatically.",
"skills": {
"scholar-sidekick-python": {
"path": "SKILL.md"
}
},
"private": false
}