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5 results for “agent skills”
What Is a Skill Worth? Structure-Aware Shapley Valuation of Agent Skills
Researchers introduced SkillSV, a structure-aware Shapley valuation framework to assign credit to internal components (e.g., rules, scripts, heuristics) of AI agent skills—enabling more faithful, actionable, and explainable skill analysis under fixed agents and task distributions.
Aug 6, 2026
Self-Supervised Skill Optimization
Researchers introduced Self-Supervised Skill Optimization (SSO), a method that improves LLM agent skills using only unlabeled task data and an LLM judge—no ground-truth labels, rewards, or external evaluators—demonstrating competitive performance against supervised methods.
Aug 3, 2026
PatchOptic for Shared-State LLM Workflows with Projected Views and Verified Structured Updates
PatchOptic is a new interface for LLM agentic workflows that enforces structured, verified updates to shared state using projected views and patch contracts — addressing the gap between local model edits and global state consistency.
Jul 9, 2026
SkillCloak Lets Malicious AI Agent Skills Evade Static Scanners with Self-Extracting Packing
Researchers demonstrated that static scanners designed to detect malicious 'skills' for AI coding agents can be reliably evaded using self-extracting packing techniques, and proposed a runtime-based detection alternative.
Published Jul 6, 2026 · Analyzed Jul 8, 2026
Cloudflare Ships Agent Skills for Zero Trust Deployment and Migration
Cloudflare released an open-source library of agent skills to automate Zero Trust deployment and migration, including interoperability with Zscaler and Palo Alto Networks, leveraging logic from its proprietary Descaler program.
Published Jun 25, 2026 · Analyzed Jul 4, 2026