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 shep-ai · Agent Tool · ★ 250
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is shep safe to install? View the security audit →
Run a fleet of coding agents. Merge real PRs. Shep is the open-source orchestrator for the autonomous development cycle. It runs parallel AI agents — Claude Code, Cursor CLI, Gemini CLI, or any agent CLI — each in its own isolated git worktree, and drives every feature from a one-line description through optional spec gates, implementation, commit, push, CI watching with auto-fix, and a draft pull request. Agent-agnostic, local-first, MIT-licensed. Quickstart bash npx @shepai/cli # try it instantly — open
| Stars | 250 |
| Forks | 54 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 64.650666258248/100 |
| Open Issues | 6 |
| Last Updated | 2026-09-08 |
| Created | 2026-02-01 |
| Platforms | claude-code, cli, gemini, node |
| Est. Tokens | ~16k |
These tools work well together with shep for enhanced workflows:
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shep is Ship features 10x faster. Built In Auto: Memory, K8S Agent & Security (SDD+SDLC) . 😇. It is categorized as a Agent Tool with 250 GitHub stars.
shep is primarily written in TypeScript. It covers topics such as agent-orchestration, agentic-ai, ai.
You can find installation instructions and usage details in the shep GitHub repository at github.com/shep-ai/shep. The project has 250 stars and 54 forks, indicating an active community.
shep is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to shep on Agent Skills Hub include vsync, vnx-orchestration, Overture. 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: