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Don't Offer What Can't Be Done: Deterministic Executability Gating for LLM Skill

BACKGROUND
2 SIGNALSFIRST DETECTED 5 August 2026
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How the story developed
21 Aug
5 Aug
Other feeds and industry voices
8 Apr
Graph of Skills: Dependency-Aware Structural Retrieval for Massive Agent Skills

arXiv:2604.05333v1 Announce Type: new Abstract: Skill usage has become a core component of modern agent systems and can substantially improve agents' ability to complete complex

REPORT · WHERE · ArXiv CS.AIOPEN STORY
11 May
CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment

arXiv:2605.06702v1 Announce Type: new Abstract: Large language models (LLMs) have become a central foundation of modern artificial intelligence, yet their lifecycle remains

REPORT · WHAT · ArXiv CS.AIOPEN STORY
23 Sept
Making Agents More Consistent: Skills Should Form Habits for Repeat Tasks

arXiv:2609.25299v1 Announce Type: new Abstract: On repeated work, agents are inconsistent. We ran 42 tasks three times each and found that, depending on the model, 38% to 74%

REPORT · WHAT · ArXiv CS.AIOPEN STORY
2 May
In-Context Prompting Obsoletes Agent Orchestration for Procedural Tasks

arXiv:2604.27891v1 Announce Type: new Abstract: Agent orchestration frameworks -- LangGraph, CrewAI, Google ADK, OpenAI Agents SDK, and others -- place an external orchestrator

REPORT · WHAT · ArXiv CS.AIOPEN STORY
21 May
Formal Skill: Programmable Runtime Skills for Efficient and Accurate LLM Agents

arXiv:2605.19604v1 Announce Type: new Abstract: Large Language Model (LLM) agents increasingly act inside real workspaces, where tools and skills determine whether model reasoning

REPORT · WHERE · ArXiv CS.AIOPEN STORY
21 Aug
Competence, Not Accuracy: A Diagnostic for Reference-Free Judge Gates in Skill Optimization

arXiv:2608.18719v1 Announce Type: new Abstract: Text-space skill optimization adapts a frozen agent by evolving a natural-language skill document, accepting each candidate through

REPORT · WHAT · ArXiv CS.AIOPEN STORY
12 May
SkillMaster: Toward Autonomous Skill Mastery in LLM Agents

arXiv:2605.08693v1 Announce Type: new Abstract: Skills provide an effective mechanism for improving LLM agents on complex tasks, yet in existing agent frameworks, their creation,

REPORT · HOW · ArXiv CS.AIOPEN STORY
6 Aug
What Is a Skill Worth? Structure-Aware Shapley Valuation of Agent Skills

arXiv:2608.04562v1 Announce Type: new Abstract: Agent skills are increasingly optimized by automated feedback loops, producing long structured artifacts whose internal value

REPORT · WHAT · ArXiv CS.AIOPEN STORY
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