Wrapping the agent loop in a runtime-guidance DSL lifted skill success 24.1%, tested on Claude Code and Codex directly.

SkillSentry (arXiv 2608.09253) targets the gap where an agent completes a task under skill guidance then fails the same task on a repeat run. It defines a DSL for runtime guidance, initializes it from skill specs plus insights mined from historical successful and failed traces, wraps the execution loop to monitor and steer in real time, then refines from new traces. Across 15 skills on Haiku 4.5, Opus 4.6, GPT-5.2, and GPT-5.4: 24.1% average success lift, and, the underrated result, reduced variance across repeated executions. Variance is what makes a skill unusable in an unattended pipeline.