
PromptShield is a security scanner for AI coding assistant configurations across IBM Bob, Claude Code, and Cursor. It audits MCP servers, skills, custom modes, and AI workflow files for known exploit classes, then returns structured findings for terminal, JSON, SARIF, HTML, or MCP-based assistant workflows. PromptShield provides deterministic security analysis and remediation guidance for AI-assistant configuration risk. Together they make AI-assisted development safer and faster to review. PromptShield currently detects five categories. PS-001 catches chained-command bypass through auto-approved shell utilities. PS-002 detects toxic skills and malicious agent instructions. PS-003 detects MCP stdio command-injection risks. PS-004 detects over-privileged custom modes without guardrails. PS-005 detects comment-and-control prompt injection in CI workflows. Together, these cover the main places where AI coding assistants move from helpful automation into unsafe execution paths.
17 May 2026

It is an innovative solution designed to enhance research and understanding in the field of materials science. This custom gpt serves as a crucial tool for researchers, scientists, and educators in the domain, offering streamlined access to crucial data and visualization capabilities for various materials. Use Cases Academic Research: Researchers in universities and institutes can leverage this tool for advanced studies in materials science, chemistry, and physics. Industrial Application: Companies in materials manufacturing can use this gpt for research and development, helping them in the innovation of new materials. Educational Purposes: Educators can incorporate this tool in teaching materials science, providing students with interactive and engaging learning materials.
26 Jan 2024