# Decision Gate

Verdict: **GO**

I now have all the information needed to make my decision.

---

```
VERDICT: GO
```

### Rationale
All four reviewer personas (Principal Systems Engineer, Linus Torvalds, Staff Security Engineer, Andrej Karpathy) unanimously **approved** the implementation in Round 1. All 15 functional requirements from the PRD are verified as implemented. There are zero CRITICAL or HIGH findings — the most notable concern (prompt-output coupling fragility in `_parse_learn_output` due to code-fenced examples in `learn.md`) is explicitly LOW severity since failed extraction degrades gracefully to zero learnings with no pipeline impact, consistent with the PRD's non-disruptive design goal (FR-12). The security review confirmed proper least-privilege enforcement (read-only tools, budget cap, category allowlisting, 150-char truncation). All 227+ tests pass with comprehensive coverage of happy paths, failure modes, and security-relevant behaviors.

### Unresolved Issues
_(None blocking — minor items noted for future improvement)_

### Recommendation
**Merge as-is.** Two optional follow-ups for the next iteration:
1. Strip code fences from learn phase agent output before regex parsing in `_parse_learn_output()` to improve extraction reliability from ~60% to ~95% (flagged by Karpathy and the Systems Engineer).
2. Replace the 4-tuple return from `parse_learnings()` with a named `RunSection` dataclass for improved readability (flagged by Torvalds).