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.
68
81%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
View guide
Low
Low-risk findings worth noting
Low
Low-risk findings.
2 low severity findings. Worth noting, but not necessarily harmful.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
SKILL.md specifies the agent calls the BGPT MCP tool `search_papers` against a curated database (https://bgpt.pro/mcp/sse), so outsider-authored free text is only ingested if it is returned/embedded in BGPT search results rather than from a user-posted feed or inbox.
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
The skill config requires running npx (remote package execution) and connects at runtime to the remote MCP endpoint https://bgpt.pro/mcp/sse (and references https://bgpt.pro/mcp), which fetches/executes remote code and provides tool responses that directly affect agent behavior.
b2a92ba
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.