research-review
Get a deep critical review of research from an external reviewer backend (Codex or manual). Use when user says "review my research", "help me review", "get external review", or wants critical feedback on research ideas, papers, or experimental results.
npx skills add majiayu000/claude-skill-registry --skill research-review --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Research Review via External Reviewer Backend (xhigh reasoning) > 🔒 **Do not wrap this skill in `/loop`, `/schedule`, or `CronCreate`.** 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. See > [`shared-references/external-cadence.md`](../shared-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-5.5` — Default model for the Codex backend. Must be an OpenAI model (e.g., `gpt-5.5`, `o3`, `gpt-4o`). Manual backend uses whatever model the user chooses. - **REVIEWER_BACKEND = `codex`** — Default: Codex MCP (xhigh). Override with `— reviewer: oracle-pro` for Oracle MCP, or `— reviewer: manual` for Manual Review MCP. If manual-review MCP is unavailable, stop and print the install command; do not fall back to Codex. See `shared-references/revie
- Constants
- Reviewer Calling Convention
- Context: $ARGUMENTS
- Prerequisites
- Workflow
- Step 1: Gather Research Context
- Step 2: Initial Review (Round 1)
- Step 3: Iterative Dialogue (Rounds 2-N)
- Step 4: Convergence
- Step 5: Document Everything
- Key Rules
- Prompt Templates
- For initial review:
- For experiment design:
claude mcp add codex -s user -- codex mcp-server
What does the research-review skill do?
Get a deep critical review of research from an external reviewer backend (Codex or manual). Use when user says "review my research", "help me review", "get external review", or wants critical feedback on research ideas, papers, or experimental results.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill research-review --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.