factory-factory: Workspace-based coding environment for running multiple Claude Code and Codex sessions in parallel

by purplefish-ai · Codex Skill · ★ 53

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install factory-factory

npx factory-factory@latest serve
npm install -g factory-factory

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 72/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

acpagentsclaude-codecodexcodingide

Quick Facts

Stars53
Forks9
LanguageTypeScript
CategoryCodex Skill
LicenseMIT
Quality Score72/100
Open Issues22
Last Updated2026-11-05
Created2026-01-23
Platformsclaude-code, codex, node
Est. Tokens~17k

About factory-factory

Run multiple ACP agent sessions in parallel with isolated git worktrees. Work on multiple features simultaneously, each in its own branch. Let ACP-connected agents progress PRs automatically. Table of Contents Installation Running Quick Start CLI Reference Architecture Feature Highlights Ratchet (Automatic PR Progression) GitHub Integration [Linear Integration](#-linear-integra

Compatible Skills

These tools work well together with factory-factory for enhanced workflows:

  • codex-mcp-server — semantic(0.25)+complementary+same_lang+similar_pop+shared_platform (59%)
  • agent-swarm — semantic(0.15)+complementary+same_lang+similar_pop+shared_platform (55%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse Codex Skill tools