Codex with ChatGPT Planning Loop
XiaoDuoYa/codex-with-chatgpt
Uses ChatGPT in the browser as the planning and review brain for a Codex session, with Codex keeping all execution and ChatGPT reading the workspace through a bridge.
Create, improve, and review AgentUse agent files. An agent skill from agentuse/agentuse.
$ npx skills add agentuse/agentuse --skill creator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install agentuse/agentuse creator --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/agentuse/agentuse.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skill-data/creator .claude/skills/creator && 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 "creator" agent skill from https://github.com/agentuse/agentuse/tree/main/skill-data/creator into .claude/skills/creator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "creator", 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/agentuse/agentuse/tree/main/skill-data/creatorType 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 agentuse/agentuse --skill creator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install agentuse/agentuse creator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentuse/agentuse.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skill-data/creator .agents/skills/creator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "creator" agent skill from https://github.com/agentuse/agentuse/tree/main/skill-data/creator into .agents/skills/creator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "creator", 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 agentuse/agentuse --skill creator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install agentuse/agentuse creator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentuse/agentuse.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skill-data/creator .cursor/skills/creator && 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 "creator" agent skill from https://github.com/agentuse/agentuse/tree/main/skill-data/creator into .cursor/skills/creator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "creator", 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/agentuse/agentuse.git --path skill-data/creator--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 agentuse/agentuse --skill creator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install agentuse/agentuse creator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentuse/agentuse.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skill-data/creator .gemini/skills/creator && 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 "creator" agent skill from https://github.com/agentuse/agentuse/tree/main/skill-data/creator into .gemini/skills/creator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "creator", 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 agentuse/agentuse creatorInstalls 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 agentuse/agentuse --skill creator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/agentuse/agentuse.git skills-src && mkdir -p .github/skills && cp -r skills-src/skill-data/creator .github/skills/creator && 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 "creator" agent skill from https://github.com/agentuse/agentuse/tree/main/skill-data/creator into .github/skills/creator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "creator", 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 agentuse/agentuse --skill creator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install agentuse/agentuse creator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentuse/agentuse.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skill-data/creator .opencode/skills/creator && 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 "creator" agent skill from https://github.com/agentuse/agentuse/tree/main/skill-data/creator into .opencode/skills/creator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "creator", 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.
creatorCreate, improve, and review AgentUse agent files. An agent skill from agentuse/agentuse.
Creator is an agent skill from agentuse/agentuse. Create, improve, and review AgentUse agent files. Use when authoring .agentuse agents, designing agent workflows, configuring frontmatter, adding MCP servers, subagents, schedules, approval gates, skills, or choosing project structure and automation patterns.
Its SKILL.md is about 9.8k 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, covering MCP servers and Subagents. It works with Model Context Protocol and OpenAI. The repository describes itself as: 🤖 AI agents on autopilot. Any model. Runs local, cron, CI/CD, or Docker.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 8e524de. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
npxpsqlpython3From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
docs.agentuse.ioFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Creator loads about 9.8k tokens when it runs. Until then it costs about 67 tokens; SKILL.md has 5,659 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.
The automated check found no risky patterns in SKILL.md.
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.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 5,659 words (~9,802 tokens).
“Use this skill when creating or improving .agentuse files: markdown with YAML frontmatter and plain-English instructions. The filename is the agent name.”
Just SKILL.md in skill-data/creator of agentuse/agentuse.
Open the folder on GitHubat commit 8e524de
Creator 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 |
|---|---|---|---|---|---|---|
| Creator this skillagentuse/agentuse | 205 | — | ~9.8k | Automated safety check: Pass | Custom licence | |
| Codex with ChatGPT Planning LoopXiaoDuoYa/codex-with-chatgpt | 7.1k | — | ~11k | Automated safety check: Notes | MIT | |
| Claude Automation Recommenderanthropics/claude-plugins-official | 37k | 3 repos | ~2.7k | Automated safety check: Notes | Apache-2.0 | |
| Cao MCP Appsawslabs/cli-agent-orchestrator | 1.4k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Chatgpt AppsHaohao-end/openagent | 807 | 1 repos | ~4.9k | Automated safety check: Pass | Apache-2.0 | |
| Agent Deckasheshgoplani/agent-deck | 1k | — | ~1.7k | Automated safety check: Pass | MIT |
XiaoDuoYa/codex-with-chatgpt
Uses ChatGPT in the browser as the planning and review brain for a Codex session, with Codex keeping all execution and ChatGPT reading the workspace through a bridge.
anthropics/claude-plugins-official
Scans a codebase and suggests which Claude Code hooks, subagents, skills, plugins and MCP servers fit its stack, without changing any files.
awslabs/cli-agent-orchestrator
Enable, operate, and extend CAO's MCP Apps surface — the host-rendered fleet dashboard visible inside MCP App hosts (Claude Desktop, ChatGPT, VS Code Copilot, Goose, Postman).
Haohao-end/openagent
Build, scaffold, refactor, and troubleshoot ChatGPT Apps SDK applications that combine an MCP server and widget UI.
asheshgoplani/agent-deck
agent-deck, the terminal session manager for AI coding agents.
alpic-ai/skybridge
Guide developers through creating and updating ChatGPT plugins.
agentuse/agentuse
Turn a workflow described or just completed in a coding agent into one focused, validated AgentUse agent.
agentuse/agentuse
Guide a new AgentUse user from a confirmed project to one validated first agent and its first CLI or Web UI run.
agentuse/agentuse
Run and manage AgentUse agents from the CLI. An agent skill from agentuse/agentuse.
agentuse/agentuse
Test and validate AgentUse agents without real side effects.
agentuse/agentuse
AgentUse CLI and agent workflow guide. An agent skill from agentuse/agentuse.
agentuse/agentuse
Core AgentUse usage guide. An agent skill from agentuse/agentuse.
Works with
Categories
Create, improve, and review AgentUse agent files. An agent skill from agentuse/agentuse. Creator is an agent skill from agentuse/agentuse. Create, improve, and review AgentUse agent files.
Creator fits situations like: authoring .agentuse agents; designing agent workflows; configuring frontmatter; adding MCP servers.
Run `npx skills add agentuse/agentuse --skill creator -a claude-code`. Or copy the skill folder (skill-data/creator in agentuse/agentuse) into .claude/skills/creator in your project. Claude Code loads it when a task matches its description.
Run `npx skills add agentuse/agentuse --skill creator -a codex`. Or copy the skill folder (skill-data/creator in agentuse/agentuse) into .agents/skills/creator in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add agentuse/agentuse --skill creator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/creator, .gemini/skills/creator, .github/skills/creator and .opencode/skills/creator in your project.
Going by SKILL.md and its folder, Creator needs the command-line tools its instructions call (npx, psql and python3).
SKILL.md names 1 domain. In commands or code: docs.agentuse.io; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Creator has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 9.8k tokens (SKILL.md is roughly 39k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Creator: Codex with ChatGPT Planning Loop (XiaoDuoYa/codex-with-chatgpt, 7.1k stars), Claude Automation Recommender (anthropics/claude-plugins-official, 37k stars), Cao MCP Apps (awslabs/cli-agent-orchestrator, 1.4k stars) and Chatgpt Apps (Haohao-end/openagent, 807 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
agentuse (a GitHub organization) maintains it in agentuse/agentuse, which has 205 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on October 7, 2026.
Source: agentuse/agentuse on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.