Agent skill · Code Review & Quality

research-review

Get a deep critical review of research from Gemini via gemini-review MCP. Use when user says \"review my research\", \"help me review\", \"get external review\", or wants critical feedback on research ideas, papers, or experimental results.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill research-review-wanshuiyin-auto-claude-code-res-3 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 5 KB
Bundled scripts: none
Path: skills/analysis/research-review-wanshuiyin-auto-claude-code-res-3/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

> Override for Codex users who want **Gemini**, not a second Codex agent, to act as the reviewer. Install this package **after** `skills/skills-codex/*`. # Research Review via `gemini-review` MCP (high-rigor review) Get a multi-round critical review of research work from an external LLM with maximum reasoning depth. ## Constants - **REVIEWER_MODEL = `gemini-review`** — Gemini reviewer invoked through the local `gemini-review` MCP bridge. Set `GEMINI_REVIEW_MODEL` if you need a specific Gemini model override. ## Context: $ARGUMENTS ## Prerequisites - Install the base Codex-native skills first: copy `skills/skills-codex/*` into `~/.codex/skills/`. - Then install this overlay package: copy `skills/skills-codex-gemini-review/*` into `~/.codex/skills/` and allow it to overwrite the same skill names. - Register the local reviewer bridge: ```bash codex mcp add gemini-review -- python3 ~/.codex/mcp-servers/gemini-review/server.py ``` - This gives Codex access to `mcp__gemini-review__review_start`, `mcp__gemini-review__review_reply_start`, and `mcp__gemini-review__review_status`. ## Workflow ### Step 1: Gather Research Context Before calling the external reviewer, compile a comprehensive br

What's inside
Steps it walks through
  1. Constants
  2. Context: $ARGUMENTS
  3. Prerequisites
  4. Workflow
  5. Step 1: Gather Research Context
  6. Step 2: Initial Review (Round 1)
  7. Step 3: Iterative Dialogue (Rounds 2-N)
  8. Step 4: Convergence
  9. Step 5: Document Everything
  10. Key Rules
  11. Prompt Templates
  12. For initial review:
  13. For experiment design:
  14. For paper structure:
Ships with 1 file
  • metadata.json
Commands it runs
codex mcp add gemini-review -- python3 ~/.codex/mcp-servers/gemini-review/server.py
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About this skill
What does the research-review skill do?

Get a deep critical review of research from Gemini via gemini-review MCP. 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-wanshuiyin-auto-claude-code-res-3 --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.

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