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 opensesh · Agent Tool · ★ 274
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is KARIMO safe to install? View the security audit →
[]() []() PRD-driven autonomous agent orchestration harness plug-in for Claude Code. You are the architect, agents are the builders. See It In Action Want to see exactly how KARIMO works? Check out the interactive demo to understand why it was built and how it works in detail. How It Works ┌──────────┐ ┌──────┐ ┌───────┐ ┌────────┐ ┌─────────────┐ ┌─────────┐ │ RESEARCH │──▸│ PLAN │──▸│ TASKS │──▸│ REVIEW │──▸│ ORCHESTRATE │──▸│ INSPECT │ └──────────┘ └──────┘ └───────┘ └────────┘ └─────────────┘ └─────────┘ │ │ │ │ │ │ └────────────┘ └─────────────┘ └──────────────┘ Loop 1 Loop 2
| Stars | 274 |
| Forks | 36 |
| Language | Markdown |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 71.0181597801091/100 |
| Open Issues | 2 |
| Last Updated | 2026-05-11 |
| Created | 2026-02-15 |
| Platforms | claude-code |
| Est. Tokens | ~669k |
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KARIMO is Claude Code harness engineering plugin — plan mode on steroids. Product design-driven agent orchestration with sub-agents and agent teams, tuned for developers and designers shipping real features. Ph. It is categorized as a Agent Tool with 274 GitHub stars.
KARIMO is primarily written in Markdown. It covers topics such as agent-teams, ai-agents, autonomous-development.
You can find installation instructions and usage details in the KARIMO GitHub repository at github.com/opensesh/KARIMO. The project has 274 stars and 36 forks, indicating an active community.
KARIMO is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to KARIMO on Agent Skills Hub include skills, claude-code-skills, claude_agent_teams_ui. 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: