Pharmaclaw Literature Agent

Search and retrieve biomedical and scientific literature from PubMed and Semantic Scholar with structured summaries, citation tracking, and open-access PDFs.

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.

Type: OpenClaw Skill Name: pharmaclaw-literature-agent Version: 2.0.0 The OpenClaw AgentSkills bundle 'pharmaclaw-literature-agent' is benign. It functions as a literature mining agent, integrating searches across public APIs for PubMed (NCBI E-utilities), Semantic Scholar, ClinicalTrials.gov, and bioRxiv/medRxiv. All network requests are handled by the standard `requests` library, which properly encodes query parameters, mitigating command injection risks. The `SKILL.md` documentation is straightforward, accurately describing the agent's purpose and usage without any prompt injection attempts. No evidence of data exfiltration, malicious execution, persistence mechanisms, or obfuscation was found across any of the Python scripts (`biorxiv_search.py`, `chain_entry.py`, `chain_entry_v2.py`, `clinicaltrials_search.py`, `pubmed_search.py`, `semantic_scholar.py`).