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 Ibrahim-3d · Claude Skill · ★ 378
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is orchestrator-supaconductor safe to install? View the security audit →
SupaConductor Turn Claude Code into a full engineering team. One command builds features, fixes bugs, and ships code — with automated planning, execution, and quality checks. What Is This? • Install • Get Started • How It Works • Commands • FAQ • Community What Does This Do? You tell Claude Code what you want. SupaConductor figures out how to build it — step by step, w
| Stars | 378 |
| Forks | 38 |
| Language | Python |
| Category | Claude Skill |
| License | AGPL-3.0 |
| Quality Score | 71.6574664284652/100 |
| Open Issues | 9 |
| Last Updated | 2026-04-08 |
| Created | 2026-02-17 |
| Platforms | claude-code, python |
| Est. Tokens | ~228k |
These tools work well together with orchestrator-supaconductor for enhanced workflows:
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orchestrator-supaconductor is Multi-agent orchestration system for Claude Code with parallel execution, automated quality gates, Board of Directors, and bundled Superpowers skills. It is categorized as a Claude Skill with 378 GitHub stars.
orchestrator-supaconductor is primarily written in Python. It covers topics such as ai-agents, claude, claude-code.
You can find installation instructions and usage details in the orchestrator-supaconductor GitHub repository at github.com/Ibrahim-3d/orchestrator-supaconductor. The project has 378 stars and 38 forks, indicating an active community.
orchestrator-supaconductor is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to orchestrator-supaconductor on Agent Skills Hub include claude-alloy, hcom, hivemind. 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: