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 chernistry · MCP Server · ★ 188
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is bernstein safe to install? View the security audit →
"To achieve great things, two things are needed: a plan and not quite enough time." - Leonard Bernstein why the name? Bernstein is named after Leonard Bernstein, the American conductor and composer. The project orchestrates a crew of CLI coding agents the way Bernstein conducted the New York Philharmonic: every player on cue, the score deterministic, the conductor accountable for the result. He is the original orchestrator the project takes its name from. deterministic multi-agent CLI orchestration [![OpenSSF Scorecard](https://api.securityscorecards.dev/projects/github
| Stars | 188 |
| Forks | 24 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 69.2509601374988/100 |
| Open Issues | 19 |
| Last Updated | 2026-04-25 |
| Created | 2026-03-22 |
| Platforms | claude-code, cli, mcp, python |
| Est. Tokens | ~2223k |
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bernstein is Deterministic orchestrator for 30+ CLI AI coding agents. Git worktree isolation, HMAC audit trail, MCP server mode.. It is categorized as a MCP Server with 188 GitHub stars.
bernstein is primarily written in Python. It covers topics such as a2a, agent-orchestration, agentic-ai.
You can find installation instructions and usage details in the bernstein GitHub repository at github.com/chernistry/bernstein. The project has 188 stars and 24 forks, indicating an active community.
bernstein is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to bernstein on Agent Skills Hub include turbo-flow, apra-fleet, ai-maestro. 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: