Evidence-Calibrated Runtime Reconstruction for Agent Skills Across Heterogeneous Coding Agents
Xueping Gao
cs.CL
Submitted: 2026-08-09
Updated: 2026-08-11
Comments: 17 pages, 1 figure, 6 tables. Submitted to PROFES 2026. Code and artifacts: https://github.com/hellogxp/skill-runtime-intelligence
Code: https://github.com/hellogxp/skill-runtime-intelligence
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- AgentRx: Diagnosing AI Agent Failures from Execution Trajectories
- From Failed Trajectories to Reliable LLM Agents: Diagnosing and Repairing Harness Flaws
- SWE-Skills-Bench: Do Agent Skills Actually Help in Real-World Software Engineering?
- SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks
- Auditing Agent Harness Safety
- Skill Coverage: A Test Adequacy Metric for Agent Skills
- Harness-Bench: Evaluating Agent Harnesses across Models and Realistic Workflows
- AgentDebugX: An Open-Source Toolkit for Failure Observability, Attribution, and Recovery in LLM Agents
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