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statsclaw-for-codex
A multi-agent workflow framework for OpenAI Codex that builds, tests, and documents statistical software packages with adversarial verification — adapted from StatsClaw (Claude Code) by Qin and Xu (2026).(Public Preview, testing...)
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Python
codexmulti-agentstatistical-softwarestatsclawworkflow-framework
Quality signals
ActiveNo testsNo CIThin docsNo licenseNew
InstallSKILLInstall as a Claude Code skill
Universal installANY TOOL
$ npx skillcity@latest gorgeousfish/statsclaw-for-codexAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
# Install into ~/.claude/skills/ mkdir -p ~/.claude/skills/statsclaw-for-codex curl -fsSL https://raw.githubusercontent.com/gorgeousfish/statsclaw-for-codex/main/SKILL.md -o ~/.claude/skills/statsclaw-for-codex/SKILL.md
Loading README…
Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
statsclaw-for-codex — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt