research-review
Installation
SKILL.md
Research Review via External Reviewer Backend (ultra reasoning)
🔒 Do not wrap this skill in
/loop,/schedule, orCronCreate. It is verdict-bearing — it produces a cross-model review verdict, multi-round with reviewer thread continuity. An external timer re-fires the verdict on wall-clock time and breaks the reviewer's round-to-round memory: zero new signal, full token cost. Schedule the external wait that precedes it (work ready → then review once), not the verdict. Seeshared-references/external-cadence.md.
Get a multi-round critical review of research work from the selected external reviewer backend with maximum reasoning depth.
Constants
- REVIEWER_MODEL =
gpt-6-astra— Default model for the Codex backend, reasoning effortultra(deep-audit tier). Must be an OpenAI model (e.g.,gpt-6-astra,gpt-6.1-sol). Manual backend uses a model the user chooses — it must be a recognized model from a different family (OpenAI, Anthropic, Google, DeepSeek, Moonshot/Kimi, Qwen). - REVIEWER_BACKEND =
codex— Default: Codex MCP (ultra). Resolve— reviewer:, project.aris/reviewer.json, then this default usingreviewer_route.py(--host claude-code --tier deep), per reviewer-backends.md. Gemini/Antigravity, Grok, and Claude Code use that contract at every call below. Legacy Oracle/manual contracts remain inreviewer-routing.md; unavailable selected routes do not silently fall back.