Codex Cc

Community

Dianel555

codex-cc

Delegates coding tasks from Codex to local Claude Code in print mode while preserving Claude's normal runtime customizations by default. Use when: (1) You want Codex to call Claude Code locally, (2) You need Claude-side skills, plugins, MCP servers, custom commands, CLAUDE.md rules, or workspace settings to stay active, (3) You want resumable Claude sessions from Codex via SESSION_ID, (4) You need thin `claude mcp` / `claude plugin` passthrough from the same bridge.

Overview

Publisher	Dianel555
Repository	`DSkills`
Skill name	`codex-cc`
Stars	65
Forks	8
Bundled files	3
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
3 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by Dianel555 on GitHub. Read the source before you install it.

Installation

Install the Codex Cc AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/Dianel555/DSkills/tree/main/skills/codex-cc
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/Dianel555/DSkills.git /tmp/DSkills
mkdir -p .claude/skills
cp -r /tmp/DSkills/skills/codex-cc .claude/skills/codex-cc

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Codex Cc in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Codex Cc on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Codex Cc is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Quick Start

bash
python scripts/claude_bridge.py --cd "/path/to/project" --PROMPT "Analyze auth flow"

Output: JSON with success, SESSION_ID, agent_messages, stream_file (the raw Claude JSONL stream), and optional all_messages, stderr, or error.

Runtime Contract

Default execution uses claude -p and does not force --safe-mode, --bare, --disable-slash-commands, or --strict-mcp-config.
Claude Code therefore keeps its normal loading path for trusted-workspace customizations such as CLAUDE.md, skills, plugins, MCP servers, custom commands, and rules.
claude -p skips the interactive trust dialog and silently ignores invalid settings files, so use this only in workspaces you already trust and whose .claude settings already validate.
The bridge requests stream-json, persists each record immediately, and only treats Claude's final result record as a completed answer. Intermediate assistant records never mask a failed or incomplete turn.
On Windows the PROMPT is delivered through stdin when claude resolves to a .cmd/.bat shim, so the prompt never passes through cmd.exe quoting and cannot hit the command-line length limit.

Parameters

text
usage: claude_bridge.py [-h] --PROMPT PROMPT --cd CD [--SESSION_ID SESSION_ID]
                        [--model MODEL]
                        [--permission-mode {,acceptEdits,auto,bypassPermissions,manual,dontAsk,plan}]
                        [--dangerously-skip-permissions] [--timeout TIMEOUT]
                        [--stream-file STREAM_FILE] [--return-all-messages]
                        {mcp,plugin} ...

options:
  --PROMPT PROMPT                Instruction for the task to send to Claude Code.
  --cd CD                        Workspace root for Claude Code (cwd + --add-dir).
  --SESSION_ID SESSION_ID        Resume a conversation by session UUID.
  --model MODEL                  Claude model override. Aliases resolve against the active endpoint.
  --permission-mode ...          Claude permission mode override.
  --dangerously-skip-permissions Bypass Claude permission checks.
  --timeout TIMEOUT              Bridge-level timeout in seconds. Omit for no bridge deadline.
  --stream-file STREAM_FILE      Raw Claude stream-json JSONL destination.
  --return-all-messages          Include parsed stream records in the result.

subcommands:
  mcp                            Thin passthrough to `claude mcp`.
  plugin                         Thin passthrough to `claude plugin`.

Sessions

Capture SESSION_ID from the first successful response and reuse it for follow-ups. SESSION_ID is empty when a run never established a session (claude produced no stream output): resume only with an id the bridge actually returned.

bash
# New Claude session
python scripts/claude_bridge.py --cd "/project" --PROMPT "Inspect failing tests"

# Resume the same Claude session
python scripts/claude_bridge.py --cd "/project" --SESSION_ID "uuid-from-response" --PROMPT "Now propose the fix"

Passthrough

bash
python scripts/claude_bridge.py mcp list
python scripts/claude_bridge.py plugin list

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Codex Cc AI skill do?

Why use Codex Cc on TypingMind?

Because you install it once and use it with any model. Codex Cc is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Codex Cc in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Dianel555/DSkills/tree/main/skills/codex-cc. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Codex Cc?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Codex Cc?

As many as you like. As long as a model supports skills, you can use Codex Cc with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Codex Cc AI skill free?

Yes. It is published on GitHub by Dianel555 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Quick Start

Runtime Contract

Parameters

Sessions

Passthrough

Bundled files

Frequently asked questions

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