Search and retrieve biomedical and scientific literature from PubMed and Semantic Scholar with structured summaries, citation tracking, and open-access PDFs.
Security Analysis
high confidenceThe skill's code, instructions, and resource requests are consistent with a literature-search agent that queries public APIs (PubMed, Semantic Scholar, bioRxiv, ClinicalTrials); it does not request secrets or install arbitrary code from unknown hosts.
Name/description (PubMed, Semantic Scholar, bioRxiv, ClinicalTrials) match the code: all network calls target public literature APIs (eutils.ncbi.nlm.nih.gov, api.semanticscholar.org, api.biorxiv.org, clinicaltrials.gov). No unrelated credentials, binaries, or config paths are requested.
SKILL.md and the scripts limit actions to constructing queries and calling public APIs, parsing returned JSON/XML, deduplicating/enriching results, and producing summaries/recommendations. Scripts do not read arbitrary local files or environment variables beyond normal module imports and do not post data to unexpected external endpoints.
This is instruction-plus-scripts only; there is no install spec that downloads or executes code from an untrusted URL. The only runtime dependency is the requests library (standard third-party package). No archive downloads or unusual install behaviors are present.
The skill declares no required environment variables or secrets, and the code does not attempt to read credentials or unrelated config. Network calls use only public API endpoints appropriate for the stated functionality.
The skill does not set always: true and does not attempt to persist configuration or modify other skills. Autonomous invocation is allowed by default (platform normal) but the skill itself does not request elevated persistence or cross-skill config changes.
Guidance
This skill appears coherent and only queries public literature APIs. Before installing, be aware: (1) it makes outbound HTTP requests to public endpoints (PubMed/NCBI, Semantic Scholar, bioRxiv, ClinicalTrials) so run it in an environment where outbound network traffic is acceptable; (2) it depends on the Python requests package (scripts print an error if requests is not installed); (3) API rate limits and terms of service apply — heavy/automated use may require API keys or throttling; (4) novelty scoring and TLDRs are heuristic and may surface unreviewed preprints (exercise caution when using findings for critical decisions). If you need stricter controls, review the scripts locally and run them in an isolated environment or add rate-limiting and logging controls before integrating into automated workflows.
Latest Release
v2.0.0
v2.0: Supercharged for novel drugs! +ClinicalTrials Phase 2-4, bioRxiv preprints, novelty_score (recency+velocity+phase boosts), auto-query 'novel phase III FDA'. Eczema test: nemolizumab Phase 3 #1. Chains market-intel/IP.
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