.claude/skills/omega-codex-cli/SKILL.md
Shell out to OpenAI Codex CLI for headless code generation, analysis, and question-answering. Optimized for code tasks. Requires OPENAI_API_KEY env var.
npx skillsauth add oimiragieo/agent-studio omega-codex-cliInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
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.
tools
Comprehensive biosignal processing toolkit for analyzing physiological data including ECG, EEG, EDA, RSP, PPG, EMG, and EOG signals. Use this skill when processing cardiovascular signals, brain activity, electrodermal responses, respiratory patterns, muscle activity, or eye movements. Applicable for heart rate variability analysis, event-related potentials, complexity measures, autonomic nervous system assessment, psychophysiology research, and multi-modal physiological signal integration.
tools
Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks, or visualizing network topologies. Applicable to social networks, biological networks, transportation systems, citation networks, and any domain involving pairwise relationships.
data-ai
Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.
development
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.