codex-agent
Run Codex tasks via the ai_cli Task Tool runner.
npx skills add majiayu000/claude-skill-registry --skill codex-agent --agent codex
Same command for any agent — swap --agent for claude-code, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Codex Agent Use this skill to run Codex tasks via the ai_cli runner. This is intended for Claude to delegate work to Codex when appropriate, including long-running background tasks that can be monitored while other work continues. ## Invocation Call the runner script (installed path in projects is `.claude/scripts`): ```bash python3 .claude/scripts/sc_codex_task.py --json '{...}' ``` Use `sc_codex_task.py` only (do not call other runner script names). Do not invent flags like `--run_in_background`, `--description`, `--prompt`, or `--subagent_type`. ## Input Provide Task Tool input JSON with: - `description` - `prompt` - `subagent_type` (defaults to `sc-codex` if not provided by the caller) ## Notes - Model flags (aliases and full names are accepted): - `--model codex` (default: gpt-5.2-codex) - `--model codex-max` or `--model max` (maps to gpt-5.1-codex-max) - `--model codex-mini` or `--model mini` (maps to gpt-5.1-codex-mini) - `--model gpt-5` (maps to gpt-5.2) - Background mode: - Default is background unless `--no-background` is provided. - Add `--background` to force background explicitly. - Add `--no-background` to force blocking mode. - The JSON output includes `output_file
- Invocation
- Input
- Notes
python3 .claude/scripts/sc_codex_task.py --json '{...}'What does the codex-agent skill do?
Run Codex tasks via the ai_cli Task Tool runner.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill codex-agent --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.