Awesome-omni-skill codex-agent

Invoke OpenAI Codex CLI for coding and complex tasks. ALWAYS use the codex_agent_direct TOOL — NEVER exec codex directly. Direct codex exec opens an interactive TUI that hangs and gets killed. The tool handles non-interactive execution correctly.

install
source · Clone the upstream repo
git clone https://github.com/diegosouzapw/awesome-omni-skill
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/diegosouzapw/awesome-omni-skill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/ai-agents/codex-agent" ~/.claude/skills/diegosouzapw-awesome-omni-skill-codex-agent && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/diegosouzapw/awesome-omni-skill "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/ai-agents/codex-agent" ~/.openclaw/skills/diegosouzapw-awesome-omni-skill-codex-agent && rm -rf "$T"
manifest: skills/ai-agents/codex-agent/SKILL.md
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Codex Agent — Direct Tool

CRITICAL: NEVER run

exec codex ...
directly. Running codex without the tool opens an interactive TUI that hangs and gets killed with signal 9. Always use the
codex_agent_direct
tool below.

Use your own model first. Only delegate to Codex when the user explicitly asks, or the task is large/multi-file.

Primary Method:
codex_agent_direct
Tool

The

codex_agent_direct
tool invokes Codex CLI non-interactively (
codex exec
) with structured JSON output. This is the preferred method for all Codex interactions.

codex_agent_direct(
  prompt: "Your detailed task description",
  workspace: "/path/to/project",    // optional, passed as --cd
  model: "gpt-4.1-mini",            // optional, default "gpt-4.1-mini"
  mode: "agent" | "plan" | "ask"    // optional, default "agent"
)

Modes

  • agent (default): Execute code changes and commands. Codex runs with
    auto
    approval — it reads, edits, and runs commands in the workspace. Use for "implement", "refactor", "fix" tasks.
  • plan: Plan before executing. Passes
    --plan
    to
    codex exec
    . Codex proposes a plan before making changes. Use when the user says "plan first", "design approach", or for large/ambiguous tasks.
  • ask: Read-only / suggest-only. Codex is set to
    suggest
    approval mode — it explains and proposes but does not auto-run. Use for "explain", "where is", "why does" — no edits.

When to Use

  • User explicitly asks for "Codex", "openai codex", or "use Codex"
  • Coding tasks: write, edit, refactor, review code
  • Complex multi-file operations: Codex understands full codebase context
  • Analysis: deep code analysis, dependency checking, architecture review
  • Task is large, multi-file, or benefits from GPT-5 Codex reasoning

Model Selection

ModelUse when
gpt-4.1-mini
Default — fast, capable, cost-effective
gpt-4.1
Complex reasoning, large codebases
gpt-5.3-codex
Maximum capability (requires ChatGPT Pro/Plus auth)

Output

The tool returns structured JSON:

  • output
    : Codex's text response (may include JSON transcript from
    --json
    flag)
  • exit_code
    : 0 for success
  • duration_ms
    : execution time
  • files_created
    : list of new file paths detected after the run
  • truncated
    : true if output was capped at 100KB

There Is No Fallback — Handle Errors Directly

DO NOT exec codex under any circumstances. Running

codex
or
exec codex ...
opens an interactive TUI that hangs forever and gets killed with signal 9. There is no safe direct exec fallback.

When the tool returns
ok: false
or an error:

  1. Read the
    error
    or
    output
    field
    — it contains the failure reason (e.g. "not a trusted directory", "model not found")
  2. Report it to the user directly — e.g. "Codex failed: [reason]. You may need to run
    codex
    interactively first to trust this directory."
  3. Do NOT retry with exec, sessions_spawn, process polling, or any other approach
  4. Do NOT start a background process and poll it

When the tool returns empty output:

Report to the user: "Codex returned no output. The workspace may not be a trusted git repo, or Codex may need re-authentication."

When output is raw JSONL:

The tool parses JSONL and returns clean text. If you still see raw

{"type":...}
JSON in the output, just summarize what you can see and tell the user the response format was unexpected.

Common errors and what to tell the user:

ErrorTell user
Not inside a trusted directory
Run
codex
interactively in the workspace first to trust it, or pass
--skip-git-repo-check
model not supported
Your ChatGPT account uses
gpt-5.3-codex
— omit
--model
to use config default
stream disconnected
Codex authentication may have expired — run
codex
interactively to re-login
signal 9
/ process killed
The codex TUI was opened instead of non-interactive exec — this means exec was called directly, which is forbidden

Prerequisites

  • Codex CLI installed:
    npm i -g @openai/codex
  • Authenticated: run
    codex
    once interactively to sign in with your ChatGPT account or API key
  • Verify:
    python3 plugin/scripts/codex_agent_direct.py --check

Project Config

The project includes

.codex/config.toml
with sensible defaults:

  • Model:
    gpt-4.1-mini
  • Approval:
    on-request
    (Codex asks before running commands)
  • Web search:
    cached

Override per-run with

--model
or
--approval
flags.

Do NOT

  • Do NOT run
    codex
    interactively from exec — it opens a TUI and hangs
  • Do NOT use
    codex
    without the
    exec
    subcommand for automation
  • Do NOT expose API keys in prompts or command arguments