MUSE-Autoskill tests agent-written skills before reuse

MUSE-Autoskill runs every self-written agent skill through unit tests and runtime feedback before an agent can reuse it, according to a new paper on arxiv.

That gate matters because agents that write their own tools build up a skill library as they go. Skip the check and a bad skill gets reused quietly. The error compounds across every later task that touches it.

The framework treats a new skill as unproven. It runs the skill against unit tests, checks how it performs during actual runtime use, and only promotes skills that pass both checks back into the library.

I've hit this exact failure with agents that write their own helper scripts. One bad assumption gets baked into a script meant for reuse, and every downstream task inherits the bug without anyone noticing until it's three layers deep.

Here's the gap. If the same agent writes both the skill and the test for it, the test can share the skill's blind spot. Same agent, same blind spot. I don't know if MUSE-Autoskill's evaluation splits the two apart, and the paper doesn't say.

Watch for that split in the follow-up work. It's the difference between a real verification gate and an agent grading its own homework.

The paper landed on arxiv this week, as more teams give agents room to write and store their own tools without a human checking each one.