4 papers
ClawHub Security Signals: When VirusTotal, Static Analysis, and SkillSpector Disagree
Vincent Koc, Patrick Erichsen, Jacob Tomlinson +3
Agent skills extend AI agents with reusable instructions, tools, scripts, references, and workflows, establishing a security boundary distinct from both model safety and traditiona…
Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges
Vincent Koc
The global crisis of language endangerment meets a technological turning point as Generative AI (GenAI) and Large Language Models (LLMs) unlock new frontiers in automating corpus c…
Tiny QA Benchmark++: Ultra-Lightweight, Synthetic Multilingual Dataset Generation & Smoke-Tests for Continuous LLM Evaluation
Vincent Koc
Tiny QA Benchmark++ (TQB++) presents an ultra-lightweight, multilingual smoke-test suite designed to give large-language-model (LLM) pipelines a unit-test style safety net dataset…
Mind the Metrics: Patterns for Telemetry-Aware In-IDE AI Application Development using the Model Context Protocol (MCP)
Vincent Koc, Jacques Verre, Douglas Blank +1
AI development environments are evolving into observability first platforms that integrate real time telemetry, prompt traces, and evaluation feedback into the developer workflow.…