No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by owainlewis · Codex Skill · ★ 418
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is machinist safe to install? View the security audit →
Machinist The open-source software factory for supervised coding agents. Turn a GitHub issue into a planned, implemented, independently reviewed, and checked pull request, on your machine and under your control. Getting started · How it works · Architecture Machinist is a local runtime and control plane for running software development as a repeatable production system. Give its a GitHub issue. It plans the work, dispatches fresh coding agents, requires an independent review, waits for repository checks, and hands a verified pull request to you. A software factory is more than an agent with shell access. It combines a defined workflow, specialized workers, quality gates, durable evidence, and a clear human decision point. Machinist packages those parts into a system you can inspect, change, and
| Stars | 418 |
| Forks | 77 |
| Language | Go |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 68.119453619396/100 |
| Open Issues | 15 |
| Last Updated | 2026-09-15 |
| Created | 2026-07-16 |
| Platforms | claude-code, codex, go |
| Est. Tokens | ~18k |
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machinist is Open source software factory infrastructure for advanced AI coding workflows. It is categorized as a Codex Skill with 418 GitHub stars.
machinist is primarily written in Go. It covers topics such as ai-agents, automation, claude-code.
You can find installation instructions and usage details in the machinist GitHub repository at github.com/owainlewis/machinist. The project has 418 stars and 77 forks, indicating an active community.
machinist is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to machinist on Agent Skills Hub include agent-deck, sage, pilot-shell. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: