Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
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Shell out to OpenAI Codex CLI for headless code generation, analysis, and question-answering. Optimized for code tasks. Requires OPENAI_API_KEY env var.
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安装前可以查看交给 AI 代理的指令内容。
Headless wrapper for OpenAI Codex CLI. Passes prompt as positional arg to codex exec "PROMPT".
Optimized for code generation and analysis. Requires OPENAI_API_KEY.
node .claude/skills/omega-codex-cli/scripts/ask-codex.mjs "Implement a Redis caching layer for Express"
node .claude/skills/omega-codex-cli/scripts/ask-codex.mjs "Refactor this module" --timeout-ms 120000
node .claude/skills/omega-codex-cli/scripts/ask-codex.mjs "Generate unit tests" --json
node .claude/skills/omega-codex-cli/scripts/ask-codex.mjs "Write and test a sort algorithm" --sandbox
node .claude/skills/omega-codex-cli/scripts/verify-setup.mjs
# Exit 0 = available (CLI found + OPENAI_API_KEY set)
# Exit 1 = not available
| Script | Purpose |
|---|---|
ask-codex.mjs | Core headless wrapper — prompt as positional arg |
parse-args.mjs | Argument parser (--model, --json, --sandbox, --timeout-ms) |
verify-setup.mjs | Availability check (CLI + OPENAI_API_KEY) |
format-output.mjs | JSONL event stream normalization |
| Model ID | Description | When to Use |
|---|---|---|
codex-mini-latest | Default. Fine-tuned o4-mini. Low-latency code Q&A. $1.50/$6 per 1M. | Fast code questions, CI pipelines, high-volume calls |
gpt-5.4 | Full GPT-5.4 (released ~2026-03-05). 1M context, computer-use, top coding perf. | Complex multi-file tasks, computer-use agentic flows |
gpt-5.4-pro | Pro variant of GPT-5.4. Higher capacity, higher cost. | State-of-the-art coding benchmarks, research tasks |
Default model: codex-mini-latest — fine-tuned o4-mini optimized for low-latency code Q&A with a 75% caching discount. Do not override unless you need GPT-5.4's extended context or computer-use capability.
To use GPT-5.4:
node .claude/skills/omega-codex-cli/scripts/ask-codex.mjs "PROMPT" --model gpt-5.4
Pricing (codex-mini-latest): $1.50/1M input tokens · $6/1M output tokens · 75% caching discount
| Flag | Description |
|---|---|
--model MODEL | Override model (default: codex-mini-latest). Use gpt-5.4 or gpt-5.4-pro for GPT-5.4. |
--json | JSONL event stream output |
--sandbox | Workspace-write sandbox mode |
--timeout-ms N | Timeout in milliseconds (exit code 124 on expiry) |
| Code | Meaning |
|---|---|
| 0 | Success |
| 1 | Error (CLI failure, auth issue, API error) |
| 124 | Timeout (--timeout-ms exceeded) |
OPENAI_API_KEY env var requiredBefore starting:
Read .claude/context/memory/learnings.md
After completing:
.claude/context/memory/learnings.md.claude/context/memory/issues.md.claude/context/memory/decisions.mdASSUME INTERRUPTION: If it's not in memory, it didn't happen.
Note: Use pnpm search:code to discover references to this skill codebase-wide.
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Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
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Use when you want to improve response quality through meta-cognitive reasoning. Applies 15+ reasoning methods to reconsider and refine initial outputs.
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N-round opposing-stance debates for trade-off analysis. Assigns pro/con roles to agents, runs structured debate rounds with quality scoring, and produces a moderator synthesis with confidence-rated recommendation. Generalizable to architecture, technology, security, and design decisions.
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Force adversarial code review stance that eliminates confirmation bias — reviewer must find issues or re-analyze
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Creates specialized AI agents on-demand when no existing agent matches a request. Use when the Router cannot find a suitable agent for a task. Enables self-evolution by generating persistent agents.
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LLM-as-judge evaluation framework with 5-dimension rubric (accuracy, groundedness, coherence, completeness, helpfulness) for scoring AI-generated content quality with weighted composite scores and evidence citations
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