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Research Review with Selectable Reviewer

Gets a critical, multi-round review of your research from a separate AI reviewer

Stars
18,482
Licence
MIT
Files
1 file

What it does

When installed, the agent gathers your research notes, drafts, and results, then sends them to a separate AI reviewer (by default a fresh Codex agent; Gemini, Grok, or Claude Code can be selected) that is instructed to act as a tough senior ML reviewer. The agent then answers the criticisms over several rounds, converges on claims and needed experiments, and saves the outcome as a review document with a claims matrix and prioritized TODO list.

Great for

  • Researchers who want adversarial feedback on a paper draft or experimental results before submission
  • Students preparing for a top-venue submission who want a mock review with scores
  • Teams wanting a second model family to check their claims

Skip it if

  • Confidential or unpublished work you do not want sent to third-party model providers, because the content is shared with the reviewer service (reason: data leaves your machine)
  • Situations needing a truly independent cross-family review by default, since the default Codex reviewer is same-family and is recorded as provisional (reason: lower independence)
  • Expecting a fully automatic verdict, since the reviewer's output still needs human judgement

Try asking

  • “Review my research on this sparse attention method and tell me where the claims are weak”
  • “Get external review of my draft paper and produce a mock NeurIPS review with scores”
  • “Help me review these experimental results and build a results-to-claims matrix”
  • “Get a critical review of my research ideas from a Gemini reviewer”
Step-by-step guide: how to use Research Review with Selectable ReviewerInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 1 original files, the MIT licence and an attribution note.

    research-review.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip research-review.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip research-review.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Point the reviewer at primary artifact and raw-result file paths so it can verify claims itself rather than trusting your summary
  • Record the review independence and acceptance status, and treat same-family Codex reviews as provisional
  • Use the optional composed-report directive only when you want the review folded into an existing report

What's inside

  • SKILL.md

Redistributed unmodified from wanshuiyin/Auto-claude-code-research-in-sleep under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.