SkillSpec: Intent-Masked Specification Reasoning for Agent Skill Correctness

• 类型：arxiv
• 标识：2609.06052
• 链接：https://arxiv.org/abs/2609.06052
• 主分类：agent
• 形态：method
• TLDR：Autonomous agent systems increasingly depend on reusable skill abstractions for consolidating experiential knowledge and domain expertise. These artifacts typically bundle free-form instructions with heterogeneous resources. However, ensuring their correctness remains challenging. Their failure modes transcend conventional code defects to subtle semantic inconsistencies such as intent conflicts, which manifest as silent failures masked by the underlying model. Moreover, skill correctness must be grounded in intended task boundaries and generalizability. We propose SkillSpec, a Hoare-style fram
• 待LLM分类：否
• 标题中文：SkillSpec：面向 Agent Skill 正确性的意图掩码规约推理
• TLDR中文：自主 Agent 系统日益依赖可复用的 Skill 抽象来整合经验知识与领域专长。这类产物通常将自由形式的指令与异构资源捆绑在一起。然而，确保其正确性仍具挑战。其失效模式超越了传统代码缺陷，延伸至意图冲突等细微的语义不一致，表现为被底层模型掩盖的静默失败。此外，Skill 正确性必须立足于预期任务边界与泛化能力。我们提出 SkillSpec，一个 Hoare 风格框架
• 来源文件：
• /inbox/tom/_candidates/2026-09-23-agent-rag-longcontext-candidates.json