Suggestion: BGPT literature evidence search skill

[connerlambden]

Hi, suggesting BGPT as a possible literature/search skill for LabClaw biomedical workflows.

BGPT is a REST, Python, and MCP API for searching scientific papers and returning structured evidence fields. It seems complementary to LabClaw's literature and biomedical agent skills because it exposes the parts of papers that agents need for critical appraisal, not just discovery.

Links:

• Docs: https://bgpt.pro/mcp/
• GitHub: https://github.com/connerlambden/bgpt-mcp
• OpenAPI: https://raw.githubusercontent.com/connerlambden/bgpt-mcp/main/openapi.yaml
• Postman workspace: https://www.postman.com/connerlambden-5212589/bgpt-scientific-paper-search-api/overview

Potential skill behavior:

• Use BGPT when a biomedical agent needs structured evidence for a claim or research question.
• Return paper rows with methods, sample size/population, study context, results, limitations, conflicts of interest, data/code availability, quality scores, blind spots, and how_to_falsify.
• Prefer mixed-evidence queries where the output helps an agent distinguish animal evidence from human evidence, small pilots from randomized trials, and strong claims from weak ones.

Example prompt:

Search BGPT for GLP-1 alcohol craving, then summarize the evidence by study type, population, sample size, main result, limitation, conflict of interest, data availability, and what would falsify the claim.

This could fit under LabClaw's literature/search or biomedical evidence-review skills.