Progressive Skill Discovery as Access Control for Tool-Using LLM Agents: Structural Governance through Role-Scoped Capability Delivery
cs.AI, cs.CR, cs.MA, cs.SY, eess.SY
Submitted: 2026-09-23
Updated: 2026-09-23
Code: https://github.com/joaomdmoura/crewai
Terminology
Sources
- Gorilla: Large Language Model Connected with Massive APIs
- RAG-MCP: Mitigating Prompt Bloat in LLM Tool Selection via Retrieval-Augmented Generation
- AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
- Agent Skills: A Data-Driven Analysis of Claude Skills for Extending Large Language Model Functionality
- Progent: Securing AI Agents with Privilege Control
- SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks
- Organizing, Orchestrating, and Benchmarking Agent Skills at Ecosystem Scale
- Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward
- Toolformer: Language Models Can Teach Themselves to Use Tools
- "Do Not Mention This to the User": Detecting and Understanding Malicious Agent Skills in the Wild
- Agent Skills Enable a New Class of Realistic and Trivially Simple Prompt Injections
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