OpenAgentSkill Registry Manifest
Skill: bgpt-paper-search
Slug: k-dense-ai-bgpt-paper-search
Category: research
Description: Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server. Returns 25+ fields per paper including methods, results, sample sizes, quality scores, and conclusions. Use for literature reviews, evidence synthesis, and finding experimental details not available in abstracts alone.

Agent fit:
- Decision: 100/100 Production-ready
- Primary fit: GitHub automation
- Role: Primary pick

Supply profile:
- Track: Research and knowledge work
- Scenario: Research agents
- Applicable agents: Claude Code, OpenAI Agents, CLI, Codex, Cursor
- Maintenance: 5d since push
- Risk: Needs review

Trust:
- Trust score: 70/100 Manual review
- Audit: 83/100 Needs review

Attribution:
- Status: Registry indexed
- Source: recursive skill source sync
- Creator: K-Dense-AI
- Claim URL: https://www.openagentskill.com/skills/k-dense-ai-bgpt-paper-search#claim-this-skill

Install:
npx skills add K-Dense-AI/scientific-agent-skills --skill bgpt-paper-search

URLs:
- Web: https://www.openagentskill.com/skills/k-dense-ai-bgpt-paper-search
- API: https://www.openagentskill.com/api/agent/skills/k-dense-ai-bgpt-paper-search
- Install API: https://www.openagentskill.com/api/skills/k-dense-ai-bgpt-paper-search/install
- Repository: https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/bgpt-paper-search