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.
Run Codex to review a plan file and return structured feedback with a verdict.
Install Codex Review
$ npx skills add closedloop-ai/claude-plugins --skill codex-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install closedloop-ai/claude-plugins codex-review --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/closedloop-ai/claude-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/code/skills/codex-review .claude/skills/codex-review && 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 "codex-review" agent skill from https://github.com/closedloop-ai/claude-plugins/tree/main/plugins/code/skills/codex-review into .claude/skills/codex-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "codex-review", 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/closedloop-ai/claude-plugins/tree/main/plugins/code/skills/codex-reviewType 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 closedloop-ai/claude-plugins --skill codex-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install closedloop-ai/claude-plugins codex-review --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/closedloop-ai/claude-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/code/skills/codex-review .agents/skills/codex-review && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "codex-review" agent skill from https://github.com/closedloop-ai/claude-plugins/tree/main/plugins/code/skills/codex-review into .agents/skills/codex-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "codex-review", 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 closedloop-ai/claude-plugins --skill codex-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install closedloop-ai/claude-plugins codex-review --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/closedloop-ai/claude-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/code/skills/codex-review .cursor/skills/codex-review && 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 "codex-review" agent skill from https://github.com/closedloop-ai/claude-plugins/tree/main/plugins/code/skills/codex-review into .cursor/skills/codex-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "codex-review", 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/closedloop-ai/claude-plugins.git --path plugins/code/skills/codex-review--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 closedloop-ai/claude-plugins --skill codex-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install closedloop-ai/claude-plugins codex-review --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/closedloop-ai/claude-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/code/skills/codex-review .gemini/skills/codex-review && 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 "codex-review" agent skill from https://github.com/closedloop-ai/claude-plugins/tree/main/plugins/code/skills/codex-review into .gemini/skills/codex-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "codex-review", 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 closedloop-ai/claude-plugins codex-reviewInstalls 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 closedloop-ai/claude-plugins --skill codex-review -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/closedloop-ai/claude-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/code/skills/codex-review .github/skills/codex-review && 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 "codex-review" agent skill from https://github.com/closedloop-ai/claude-plugins/tree/main/plugins/code/skills/codex-review into .github/skills/codex-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "codex-review", 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 closedloop-ai/claude-plugins --skill codex-review -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install closedloop-ai/claude-plugins codex-review --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/closedloop-ai/claude-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/code/skills/codex-review .opencode/skills/codex-review && 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 "codex-review" agent skill from https://github.com/closedloop-ai/claude-plugins/tree/main/plugins/code/skills/codex-review into .opencode/skills/codex-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "codex-review", 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
codex-review- GitHub stars
- 122
- Token cost
- ~1.4k tokens
- SKILL.md length
- 698 words
- Files
- 2 (incl. scripts)
- Skills in repo
- 41
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Run Codex to review a plan file and return structured feedback with a verdict.
- Works in 5 steps: Builds a round-aware review prompt:… → If --session-id is provided, attempts… → Parses the Codex JSON stream for… → …
- : debate loop Codex review rounds
- SKILL.md covers When to Use, Usage, Interpreting Output and How It Works
- Runs Shell scripts from its folder; calls codex and bash
What it does
Codex Review is an agent skill from closedloop-ai/claude-plugins. Run Codex to review a plan file and return structured feedback with a verdict. Triggers on: debate loop Codex review rounds. Returns VERDICT:APPROVED or VERDICT:NEEDSCHANGES plus CODEXSESSION token.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/run_codex_review.sh`).
It sits in Agent Workflows. The repository describes itself as: Open-source Claude Code plugins for multi-agent software delivery. Plan-first SDLC workflow, code review, LLM quality judges, and self-learning — grounded in your codebase… The licence is Apache-2.0.
When your agent uses it
- : debate loop Codex review rounds
Example prompts
- “/codex-review”
Requirements
- A Bash shell
- Pre-approved tools (allowed-tools): Bash
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Builds a round-aware review prompt: round 1 performs a broad but material audit of both the chosen approach and the task details; rounds…
- If --session-id is provided, attempts codex exec resume for context continuity; falls back to a fresh session if resume fails
- Parses the Codex JSON stream for thread.started (thread ID) and item.completed/agent_message (feedback text)
- If session resume succeeds but no new thread.started event appears, the input session ID is preserved and re-emitted (prevents losing…
- Writes full feedback text to --feedback-file; emits only machine-parseable tokens to stdout
What it can do on your machine
Read from SKILL.md and the folder at commit 476b54c. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
Bash
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Shell), which the agent can run.
Shell commands in SKILL.md call:
codexbash
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
Codex Review loads about 1.4k tokens when it runs. Until then it costs about 53 tokens; SKILL.md has 698 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: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
allowed-tools: Bash
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); the scripts in this folder are not scanned.
SKILL.md
The full file from closedloop-ai/claude-plugins at commit 476b54c, republished under its Apache-2.0 licence (© closedloop-ai). 698 words, ~1,424 tokens.
Download SKILL.mdSave it as
.claude/skills/codex-review/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- codex-review
- description
- Run Codex to review a plan file and return structured feedback with a verdict. Triggers on: debate loop Codex review rounds. Returns VERDICT:APPROVED or VERDICT:NEEDS_CHANGES plus CODEX_SESSION token.
- allowed-tools
- Bash
- context
- fork
Codex Review
Call Codex to review an implementation plan and return structured feedback with an approval verdict.
When to Use
Activated once per debate round in the /plan-with-codex command, before Claude revision. The orchestrator calls this skill to get Codex's assessment of the current plan.
Usage
bash ${CLAUDE_SKILL_DIR}/scripts/run_codex_review.sh \
--plan-file <path> \
--feedback-file <path> \
--request-file <path> \
--revisions-file <path> \
--round <N> \
--codex-model <model> \
[--session-id <thread_id>] \
[--log-id <uuid>]| Argument | Required | Default | Description |
|---|---|---|---|
--plan-file | Yes | -- | Absolute path to the implementation plan (plan.json or plan.md) that Codex will review. The script injects this path into the review prompt so Codex can read and analyze the plan's contents. |
--feedback-file | Yes | -- | Absolute path where the script writes Codex's full feedback text (parsed from the JSON stream). The orchestrator reads this file after the script completes to get the detailed findings. This file is overwritten each round. |
--request-file | No | -- | Absolute path to the original user request sidecar. When present and non-empty, the script tells Codex to read it before reviewing the plan so it can judge whether the plan chose the right overall approach for the request, not just whether the plan is internally consistent. If the file begins with [synthesized], Codex is told to treat it as a weak hint rather than authoritative user intent. |
--revisions-file | No | -- | Absolute path to Claude's revision summary from the previous round, listing which findings were accepted and which were rejected with evidence. Only meaningful when round > 1 AND the file exists with actual content (the script checks -s for non-empty). The script injects this path into Codex's prompt so it can read the revisions before re-reviewing, but it explicitly tells Codex to verify Claude's rebuttals against the updated plan and codebase rather than trusting the summary blindly. Omit entirely on round 1 or when no revisions file has been written yet -- do not pass /dev/null or an empty file. |
--round | No | 1 | The current debate round number (1-indexed). Controls the review prompt phase: round 1 runs a broad but material audit, rounds 2-4 run a delta review that first checks whether prior findings were resolved, and rounds 5+ run a blocker-only convergence review. Also gates whether the revisions file is included in the prompt. |
--codex-model | No | gpt-5.3-codex | The OpenAI model ID passed to codex -m. Controls which model performs the review. |
--session-id | No | -- | Codex thread ID returned as CODEX_SESSION from a previous round. When provided, the script attempts codex exec resume <session_id> to continue the conversation with full prior context. If resume fails, it falls back to a fresh session automatically. Omit on round 1. |
--log-id | No | auto-generated UUID | Identifier for the persistent JSONL log file at ~/.closedloop-ai/plan-with-codex/<log-id>.jsonl. The raw Codex JSON stream is appended here each round. Pass the same ID across all rounds of a debate to keep the full conversation history in one file. If omitted, a new UUID is generated. |
Show full SKILL.md (244 more words)Show less
Interpreting Output
The script prints structured tokens to stdout. Parse these to control the debate loop.
All stdout responses include three tokens: a verdict (or failure indicator), CODEX_SESSION, and LOG_ID. The raw Codex JSON stream is appended to ~/.closedloop-ai/plan-with-codex/<uuid>.jsonl. Pass the LOG_ID back via --log-id on subsequent rounds to keep all rounds in one log file.
Approval
VERDICT:APPROVED
CODEX_SESSION:abc-123-def
LOG_ID:550e8400-e29b-41d4-a716-446655440000Action: Announce approval. Clean up sidecar files. Stop the debate loop.
Changes Requested
VERDICT:NEEDS_CHANGES
CODEX_SESSION:abc-123-def
LOG_ID:550e8400-e29b-41d4-a716-446655440000Action: Read the feedback file for full details. Pass to plan-agent for revision.
Codex Failed
CODEX_FAILED:<reason>
CODEX_SESSION:abc-123-def
LOG_ID:550e8400-e29b-41d4-a716-446655440000Action: Announce the failure reason. Ask the user to retry or abort. Do NOT increment the round counter.
Empty Response
CODEX_EMPTY
CODEX_SESSION:abc-123-def
LOG_ID:550e8400-e29b-41d4-a716-446655440000Action: Announce empty response. Ask the user to retry or abort. Do NOT increment the round counter.
How It Works
- Builds a round-aware review prompt: round 1 performs a broad but material audit of both the chosen approach and the task details; rounds 2-4 verify prior findings and look only for net-new material issues; rounds 5+ only flag blocker-level issues that would likely lead to wrong behavior
- If
--session-idis provided, attemptscodex exec resumefor context continuity; falls back to a fresh session if resume fails - Parses the Codex JSON stream for
thread.started(thread ID) anditem.completed/agent_message(feedback text) - If session resume succeeds but no new
thread.startedevent appears, the input session ID is preserved and re-emitted (prevents losing session continuity) - Writes full feedback text to
--feedback-file; emits only machine-parseable tokens to stdout
© closedloop-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (scripts) in plugins/code/skills/codex-review of closedloop-ai/claude-plugins.
- SKILL.md
- scripts/run_codex_review.sh
Open the folder on GitHubat commit 476b54c
Compare with similar skills
Codex Review 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 |
|---|---|---|---|---|---|---|
| Codex Review this skillclosedloop-ai/claude-plugins | 122 | — | ~1.4k | Automated safety check: Notes | Apache-2.0 | |
| MCP Server Builderanthropics/skills | 180k | 64 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Hook Development for Claude Code Pluginsanthropics/claude-plugins-official | 38k | 11 repos | ~4.1k | Automated safety check: Notes | Apache-2.0 | |
| Using Superpowersfarm-fe/farm | 5.6k | 35 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Executing Plans Inlineobra/superpowers | 296k | 2 repos | ~5.1k | Automated safety check: Pass | MIT | |
| Claude Code Agent Developmentanthropics/claude-plugins-official | 38k | 8 repos | ~2.8k | Automated safety check: Pass | Apache-2.0 |
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Using Superpowers
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Executing Plans Inline
obra/superpowers
Has the agent carry out an implementation plan itself, task by task in the current session, keeping a ledger, proving each step with a test and ending with one whole-branch review.
- Official
Claude Code Agent Development
anthropics/claude-plugins-official
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Eval Cache
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Check for a cached plan-evaluation.json result before launching the plan-evaluator agent.
Find Plugin File
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This skill should be used when needing to locate files within the Claude Code plugins cache directory (~/.claude/plugins/cache).
Gh Monitor PR
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Start a detached GitHub pull-request monitor that wakes the exact launching Codex Desktop or CLI root through the managed Codex App Server when review, CI, conflict, merge-queue, closure, readiness…
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Related
Categories
Questions about Codex Review
What does Codex Review do?
Run Codex to review a plan file and return structured feedback with a verdict. Codex Review is an agent skill from closedloop-ai/claude-plugins. Run Codex to review a plan file and return structured feedback with a verdict.
When should I use Codex Review?
Codex Review fits situations like: : debate loop Codex review rounds.
How do I install Codex Review in Claude Code?
Run `npx skills add closedloop-ai/claude-plugins --skill codex-review -a claude-code`. Or copy the skill folder (plugins/code/skills/codex-review in closedloop-ai/claude-plugins) into .claude/skills/codex-review in your project. Claude Code loads it when a task matches its description.
How do I install Codex Review in Codex?
Run `npx skills add closedloop-ai/claude-plugins --skill codex-review -a codex`. Or copy the skill folder (plugins/code/skills/codex-review in closedloop-ai/claude-plugins) into .agents/skills/codex-review in your project. Codex loads it when a task matches its description.
Can I use Codex Review 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 closedloop-ai/claude-plugins --skill codex-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/codex-review, .gemini/skills/codex-review, .github/skills/codex-review and .opencode/skills/codex-review in your project.
What does Codex Review need to run?
Going by SKILL.md and its folder, Codex Review needs a shell for the scripts in its folder and the command-line tools its instructions call (codex and bash). Our summary lists: A Bash shell. Its frontmatter pre-approves these tools: Bash.
Does Codex Review 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 Codex Review safe to install?
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Codex Review use?
Codex Review is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Codex Review use?
About 1.4k tokens (SKILL.md is roughly 5.7k 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 Codex Review?
Skills that share tags, products or a category with Codex Review: MCP Server Builder (anthropics/skills, 180k stars), Hook Development for Claude Code Plugins (anthropics/claude-plugins-official, 38k stars), Using Superpowers (farm-fe/farm, 5.6k stars) and Executing Plans Inline (obra/superpowers, 296k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Codex Review?
closedloop-ai (a GitHub organization) maintains it in closedloop-ai/claude-plugins, which has 122 GitHub stars. The repository holds 41 skills in this directory. The repository was last updated on October 7, 2026.
Source: closedloop-ai/claude-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.