codex-cli-best-practice

Name: codex-cli-best-practice
Author: shanraisshan

Verified

from vibe coding to agentic engineering - practice makes codex perfect

932stars

61forks

Python

Installation

# Add to your Claude Code skills
git clone https://github.com/shanraisshan/codex-cli-best-practice

Getting Started

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Security ReportVerified

Last scanned: 5/7/2026

{
  "issues": [],
  "status": "PASSED",
  "scannedAt": "2026-05-07T06:36:02.074Z",
  "semgrepRan": false,
  "npmAuditRan": true,
  "pipAuditRan": true
}

README.md

Frequently Asked Questions

What is codex-cli-best-practice?

codex-cli-best-practice is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by shanraisshan. from vibe coding to agentic engineering - practice makes codex perfect. It has 932 GitHub stars.

Is codex-cli-best-practice safe to use?

Yes. codex-cli-best-practice passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install codex-cli-best-practice?

Clone the repository with "git clone https://github.com/shanraisshan/codex-cli-best-practice" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is codex-cli-best-practice written in?

codex-cli-best-practice is primarily written in Python. It is open-source under shanraisshan on GitHub, so you can review or fork the full source.

Are there alternatives to codex-cli-best-practice?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh codex-cli-best-practice against similar tools.

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Related Skills

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codex-cli-best-practice

from vibe coding to agentic engineering - practice makes codex perfect

Click on these badges below to see the actual sources = Agents · = Commands · = Skills

🧠 CONCEPTS

Feature	Location	Description
Commands	`interactive session / slash popup`	Built-in slash commands for session control — examples include `/plan`, `/fast`, `/fork`, `/review`, `/status`, `/mcp`, `/agent`, `/apps`, `/model`, and `/permissions`
Subagents	`.codex/agents/<name>.toml`	Custom agents registered under `[agents.<name>]` with dedicated TOML role configs, parallel subagent orchestration, and CSV batch processing · Global settings live under `[agents]` (`max_threads`, `max_depth`, `job_max_runtime_seconds`) · Built-in: `default`, `worker`, `explorer`
Skills	`.agents/skills/<name>/SKILL.md`	Reference Reusable instruction packages with required `name` + `description` metadata and progressive disclosure via `scripts/`, `references/`, `assets/`, and optional `agents/openai.yaml` · Invoke explicitly via `/skills` or `$skill-name`, or implicitly by description match · Built-in examples: `$plan`, `$skill-creator`, `$skill-installer` · Distributed via Plugins
Plugins	`.codex-plugin/plugin.json`	Distributable bundles combining skills + app integrations + MCP servers — local/personal marketplace system · Built-in: `$plugin-creator` · Browse via `/plugins` or Codex App
Marketplace	`$CODEX_HOME` → `[marketplaces.*]`	Plugin catalog system (v0.121.0+) — `codex plugin marketplace add\|upgrade\|remove` accepts GitHub shorthand, git URLs, and local directories · Manifest at `.agents/plugins/marketplace.json` · Browse installed marketplaces via `/plugins` tabs
Memories	`$CODEX_HOME/memories/`	Cross-session memory pipeline (v0.119.0+) — enable via `[features] memories = true` and configure under `[memories]` · TUI control via `/memories` (use · generate · reset) · Per-thread toggle persists in state DB · Scope is per-user, not per-project
Workflows	`.codex/agents/weather-agent.toml`	End-to-end usage patterns — explain codebase, fix bugs, write tests, prototype from screenshot, iterate UI, delegate to cloud, code review, update docs
MCP Servers	`config.toml` → `[mcp_servers.*]`	Model Context Protocol for external tools — STDIO + Streamable HTTP servers · OAuth support (`codex mcp login`) · Also acts as MCP server via `codex mcp-server` (exposes `codex()` + `codex-reply()` tools) · MCP Apps (v0.119.0+): resource reads, elicitations, file-parameter uploads · Parallel calls (v0.121.0+): `supports_parallel_tool_calls = true` per server · CLI management: `codex mcp add\|get\|list\|login\|logout\|remove`
Config	`.codex/config.toml`	TOML-based layered config system · Profiles · Sandbox · Approval Policy · Advanced (`[features]`, `[otel]`, `[shell_environment_policy]`, `[tui]`, model providers, granular approvals) · Trust system for project configs · `developer_instructions` · `model_instructions_file` for custom system prompts
Rules	`.codex/rules/`	Starlark-based command execution policies via `prefix_rule()` — `allow`, `prompt`, `forbidden` decisions with exact-prefix matching · Test via `codex execpolicy check` · Rules work alongside granular `approval_policy` controls and user-managed approvals
AGENTS.md	`AGENTS.md`	Project-level context for Codex CLI — hierarchical discovery from cwd to repo root, capped at 32 KiB (`project_doc_max_bytes`) · `AGENTS.override.md` for personal overrides
Hooks	`.codex/hooks.json`	User-defined shell scripts that inject into the agentic loop — logging, security scanning, validation, and custom automation · Requires `codex_hooks = true` feature flag
Speed	`config.toml` → `service_tier`	Fast Mode (1.5x speed, 2x credits) on gpt-5.4 — toggle with `/fast on\|off\|status` · GPT-5.3-Codex-Spark for near-instant iteration (Pro subscribers)
Code Review	`/review`	Review branches, uncommitted changes, or specific commits — configurable `review_model` in config.toml · Custom review instructions
Sessions	`$CODEX_HOME/sessions/` · `/archive`	Session lifecycle management — resume or fork prior threads · archive via `/archive` (TUI) or `codex archive` / `codex unarchive` (CLI); archived threads are protected from resume/fork until restored (v0.137.0+) · search local conversation history with case-insensitive content matches + result previews (v0.135.0+)
AI Terms		Agentic Engineering · Context Engineering · Vibe Coding
Best Practices		Official best practices · Prompt Engineering · Codex Guides

See orchestration-workflow for implementation details of Agent → Skill pattern. The agent fetches temperature from Open-Meteo and invokes the SVG creator skill.

How to Use

codex
> Fetch the current weather for Dubai in Celsius and create the SVG weather card output using the repo.

Note: This workflow is not 100% in sync with the Claude Code Best Practice orchestration workflow. Codex CLI does not yet support custom commands (.codex/commands/), so the full Command → Agent → Skill pattern is not possible. There is an experimental tool/requestUserInput in the Codex App Server docs and an internal request_user_input capability gated behind an under-development feature flag in codex-cli 0.115.0, but neither is