auto-review-loop-llm

# Auto Review Loop (Generic LLM): Autonomous Research Improvement > 🔒 **Do not wrap this skill in `/loop`, `/schedule`, or `CronCreate`.** Like > `/auto-review-loop`, it already loops internally (review → fix → re-review), > feeding each round's prior-round summary into the next review prompt (the > backend is a stateless per-round API/MCP call, not a shared thread). An > external timer re-enters from the top each tick, dropping that accumulated > context and firing the verdict on wall-clock time instead of on artifact > change — zero new signal, full token cost. Schedule the *external wait that > precedes it*, not the verdict. See > [`shared-references/external-cadence.md`](../shared-references/external-cadence.md). Autonomously iterate: review → implement fixes → re-review, until the external reviewer gives a positive assessment or MAX_ROUNDS is reached. ## Context: $ARGUMENTS ## Constants - MAX_ROUNDS = 4 - POSITIVE_THRESHOLD: score >= 6/10 **AND** verdict ∈ {"ready", "almost"} — **both** must hold, matching the operative STOP check below. Verdict vocabulary is {"ready", "almost", "not ready"}. (Earlier wording used `or` and a stale verdict set; the `AND` form is authoritative.) - REVIEW_DOC: `review-stage/AUTO_REVIEW.md` (cumulative log) *(fall back to `./AUTO_REVIEW.md` for legacy projects)* ## LLM Configuration This skill uses **any OpenAI-compatible API** for external review via the `llm-chat` MCP server. ### Configuration via MCP Server (Recommended) Add to ...