Statistical Priors for Implicit Preferences: Decoupling Skill Selection as a Local Harness in Personal Agents

arXiv:2606.05828 · cs.AI, cs.CL · Submitted 2026-06-04 · Read on arXiv

cs.AI, cs.CL

Submitted: 2026-06-04

Updated: 2026-09-25

Code: https://github.com/ZyGan1999/Personalized-Skill-Selection

Terminology

• Accuracy — 51× in this paper · explained in 1 episode
• Regret — 48× in this paper · explained in 3 episodes
• Benchmark — 11× in this paper · explained in 2 episodes
• Personalization — 6× in this paper · explained in 2 episodes
• Alignment — 5× in this paper · explained in 1 episode
• Decoupling — 5× in this paper · explained in 2 episodes
• Perplexity — 4× in this paper · explained in 3 episodes
• Foundation Model — 3× in this paper · explained in 3 episodes
• Foundation Models — 3× in this paper · explained in 7 episodes
• AI Agents — 2× in this paper · explained in 2 episodes
• Agent Harness — 2× in this paper · explained in 2 episodes
• As Large Language Model — 2× in this paper
• Core — 2× in this paper · explained in 2 episodes
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• Credit assignment — 2× in this paper · explained in 3 episodes
• Large Language Model (LLM) — 2× in this paper · explained in 3 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Affordance — 1× in this paper · explained in 1 episode
• Agent Interactions — 1× in this paper · explained in 1 episode
• Agentic System — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Epistemic Uncertainty — 1× in this paper · explained in 10 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Mode Collapse — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Scaffolding — 1× in this paper · explained in 3 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Memory in the Age of AI Agents
• Affordance Agent Harness: Verification-Gated Skill Orchestration
• Meta-Harness: End-to-End Optimization of Model Harnesses
• Agentic Harness Engineering: Observability-Driven Automatic Evolution of Coding-Agent Harnesses
• MassTool: A Multi-Task Search-Based Tool Retrieval Framework for Large Language Models
• Beyond the Black Box: A Survey on the Theory and Mechanism of Large Language Models
• Natural-Language Agent Harnesses
• M$^\star$: Every Task Deserves Its Own Memory Harness
• Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering
• ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
• OpenClaw-RL: Train Any Agent Simply by Talking
• Qwen3 Technical Report
• ReAct: Synergizing Reasoning and Acting in Language Models

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