arXiv (All)
open access
Understanding and Mitigating Cross-Session Attacks via Persistent Artifacts in Agent Skill Composition
Agent skills extend the capabilities of AI agents by bundling instructions, code, and resources into reusable packages. During skill execution, agents may produce or modify artifacts, such as files, configurations, and cached data, that are reused by other skills in later sessions. Since these artif
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Understanding and Mitigating Cross-Session Attacks via Persistent Artifacts in Agent Skill Composition#1291731
- Learning Reusable Agent Subroutines from Experience#1344605
- Inside the Skill Market: From Software Engineering Activities to Reusable Agent Skills#361525
- DTOC: Dynamic Tool Output Compression for Adaptive Context Management in AI Agents#1062024
- What Should an Agent Forget? Separating What Is Stored from What Is Used#997161
Record · ID 1297579
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive