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 TechDufus · Agent Tool · ★ 174
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is oh-my-claude safe to install? View the security audit →
Opinionated Claude Code plugin for ultrawork, orchestration guardrails, and review gates. TL;DR — Skip This README Just add a trigger word anywhere in your prompt: Claude will parallelize everything, delegate file reads to subagents, track progress with todos, and refuse to stop until the job is done. No partial implementations. No asking for pe
| Stars | 174 |
| Forks | 8 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 76.6258382500521/100 |
| Open Issues | 4 |
| Last Updated | 2026-07-13 |
| Created | 2026-01-09 |
| Platforms | claude-code, python |
| Est. Tokens | ~16k |
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oh-my-claude is Add ultrawork to any prompt for maximum parallel execution. It is categorized as a Agent Tool with 174 GitHub stars.
oh-my-claude is primarily written in Python. It covers topics such as ai, automation, claude.
You can find installation instructions and usage details in the oh-my-claude GitHub repository at github.com/TechDufus/oh-my-claude. The project has 174 stars and 8 forks, indicating an active community.
oh-my-claude is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to oh-my-claude on Agent Skills Hub include awesome-claude-skills, claude-emporium, claude-code-hooks. 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: