MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Autonomous multi-round research review loop. An agent skill from AI4Scientist/nano-scientist.
Install Auto Review Loop
The automated check flagged lines worth reading first. See the safety section below.
$ npx skills add AI4Scientist/nano-scientist --skill auto-review-loop -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install AI4Scientist/nano-scientist auto-review-loop --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/skills-codex-claude-review/auto-review-loop .claude/skills/auto-review-loop && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "auto-review-loop" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/skills-codex-claude-review/auto-review-loop into .claude/skills/auto-review-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-review-loop", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/AI4Scientist/nano-scientist/tree/main/skills/skills-codex-claude-review/auto-review-loopType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add AI4Scientist/nano-scientist --skill auto-review-loop -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install AI4Scientist/nano-scientist auto-review-loop --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/skills-codex-claude-review/auto-review-loop .agents/skills/auto-review-loop && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "auto-review-loop" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/skills-codex-claude-review/auto-review-loop into .agents/skills/auto-review-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-review-loop", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add AI4Scientist/nano-scientist --skill auto-review-loop -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install AI4Scientist/nano-scientist auto-review-loop --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/skills-codex-claude-review/auto-review-loop .cursor/skills/auto-review-loop && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "auto-review-loop" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/skills-codex-claude-review/auto-review-loop into .cursor/skills/auto-review-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-review-loop", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/AI4Scientist/nano-scientist.git --path skills/skills-codex-claude-review/auto-review-loop--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add AI4Scientist/nano-scientist --skill auto-review-loop -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install AI4Scientist/nano-scientist auto-review-loop --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/skills-codex-claude-review/auto-review-loop .gemini/skills/auto-review-loop && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "auto-review-loop" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/skills-codex-claude-review/auto-review-loop into .gemini/skills/auto-review-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-review-loop", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install AI4Scientist/nano-scientist auto-review-loopInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add AI4Scientist/nano-scientist --skill auto-review-loop -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/skills-codex-claude-review/auto-review-loop .github/skills/auto-review-loop && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "auto-review-loop" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/skills-codex-claude-review/auto-review-loop into .github/skills/auto-review-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-review-loop", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add AI4Scientist/nano-scientist --skill auto-review-loop -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install AI4Scientist/nano-scientist auto-review-loop --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/skills-codex-claude-review/auto-review-loop .opencode/skills/auto-review-loop && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "auto-review-loop" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/skills-codex-claude-review/auto-review-loop into .opencode/skills/auto-review-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-review-loop", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
auto-review-loop- GitHub stars
- 128
- Used in
- 2 other repos
- Token cost
- ~2.8k tokens
- SKILL.md length
- 1,100 words
- Files
- 1
- Skills in repo
- 74
- Repo updated
- First seen
- Licence
- None found
At a glance
Autonomous multi-round research review loop. An agent skill from AI4Scientist/nano-scientist.
- Works in 6 steps: Check for review-stage/REVIEW_STATE.json… → Read project narrative documents, memory… → Read recent experiment results (check… → …
- User says auto review loop
- SKILL.md covers Context: $ARGUMENTS, Constants, State Persistence (Compact… and Workflow, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Auto Review Loop is an agent skill from AI4Scientist/nano-scientist. Autonomous multi-round research review loop. Repeatedly reviews using Claude Code via claude-review MCP, implements fixes, and re-reviews until positive assessment or max rounds reached. Use when user says "auto review loop", "review until it passes", or wants autonomous iterative improvement.
Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows. It works with Model Context Protocol. The repository describes itself as: An autonomous research agent that turns a topic into a peer-reviewed technical report.
When your agent uses it
- User says auto review loop
- Review until it passes
- Wants autonomous iterative improvement
Example prompts
- “auto review loop”
- “review until it passes”
- “/auto-review-loop”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Check for review-stage/REVIEW_STATE.json *(fall back to ./REVIEW_STATE.json if not found — legacy path)*
- Read project narrative documents, memory files, and any prior review documents
- Read recent experiment results (check output directories, logs)
- Identify current weaknesses and open TODOs from prior reviews
- Initialize round counter = 1 (unless recovered from state file)
- Create/update review-stage/AUTO_REVIEW.md with header and timestamp
What it can do on your machine
Read from SKILL.md and the folder at commit 7132192. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are json and markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Auto Review Loop loads about 2.8k tokens when it runs. Until then it costs about 78 tokens; SKILL.md has 1,100 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check: warnings
The automated check found patterns that need a careful read before installing.
- WarningTells the agent its actions are pre-authorized / not to stop for confirmationSKILL.md:223
t << 'EOF' > file`) to write in chunks. Do NOT ask the user for permission — just do it silently.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 1,100 words (~2,800 tokens).
“Autonomously iterate: review → implement fixes → re-review, until the external reviewer gives a positive assessment or MAX_ROUNDS is reached.”
- name
- auto-review-loop
Files
Just SKILL.md in skills/skills-codex-claude-review/auto-review-loop of AI4Scientist/nano-scientist.
Open the folder on GitHubat commit 7132192
Used in 2 other repositories
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in AI4Scientist/nano-scientist, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Auto Review Loop next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Auto Review Loop this skillAI4Scientist/nano-scientist | 128 | 2 repos | ~2.8k | Automated safety check: Warn | None | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server BuildershareAI-lab/learn-claude-code | 78k | 5 repos | ~1.2k | Automated safety check: Pass | MIT | |
| MCP Integration for Pluginsanthropics/claude-plugins-official | 38k | 11 repos | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| MemPalace Memory SearchMemPalace/mempalace | 59k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Crush Configurationcharmbracelet/crush | 29k | — | ~3.7k | Automated safety check: Pass | Custom licence |
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MemPalace/mempalace
Mines project files and conversation exports into a local, searchable memory palace and recalls past work by semantic search through the mempalace CLI.
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Related
Works with
Categories
Questions about Auto Review Loop
What does Auto Review Loop do?
Autonomous multi-round research review loop. An agent skill from AI4Scientist/nano-scientist. Auto Review Loop is an agent skill from AI4Scientist/nano-scientist. Autonomous multi-round research review loop.
When should I use Auto Review Loop?
Auto Review Loop fits situations like: user says auto review loop; review until it passes; wants autonomous iterative improvement.
How do I install Auto Review Loop in Claude Code?
Run `npx skills add AI4Scientist/nano-scientist --skill auto-review-loop -a claude-code`. Or copy the skill folder (skills/skills-codex-claude-review/auto-review-loop in AI4Scientist/nano-scientist) into .claude/skills/auto-review-loop in your project. Claude Code loads it when a task matches its description.
How do I install Auto Review Loop in Codex?
Run `npx skills add AI4Scientist/nano-scientist --skill auto-review-loop -a codex`. Or copy the skill folder (skills/skills-codex-claude-review/auto-review-loop in AI4Scientist/nano-scientist) into .agents/skills/auto-review-loop in your project. Codex loads it when a task matches its description.
Can I use Auto Review Loop in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add AI4Scientist/nano-scientist --skill auto-review-loop -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/auto-review-loop, .gemini/skills/auto-review-loop, .github/skills/auto-review-loop and .opencode/skills/auto-review-loop in your project.
What does Auto Review Loop need to run?
SKILL.md names no scripts, command-line tools or credentials: Auto Review Loop is instructions for the agent only.
Does Auto Review Loop access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Auto Review Loop safe to install?
Our automated static check of SKILL.md flagged 1 warning(s): tells the agent its actions are pre-authorized / not to stop for confirmation. Read the flagged lines before installing; the check is not a guarantee either way.
What licence does Auto Review Loop use?
No licence was found for Auto Review Loop or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Auto Review Loop use?
About 2.8k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Auto Review Loop?
Skills that share tags, products or a category with Auto Review Loop: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and MemPalace Memory Search (MemPalace/mempalace, 59k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Auto Review Loop?
AI4Scientist (a GitHub organization) maintains it in AI4Scientist/nano-scientist, which has 128 GitHub stars. The repository holds 74 skills in this directory. The repository was last updated on June 3, 2026.
Source: AI4Scientist/nano-scientist on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.