by skymanbp · Agent Tool · ★ 107
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Claude Code plugin: universal radial-tree exploration engine. One tree skill + swappable presets (brainstorm / attack / design / code-audit) for divergent ideation, adversarial critique, and design-space exploration. 12 framings × hard-ban-on-incomplete-leaves × stable convergence.
| Stars | 107 |
| Forks | 0 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 56.4322183849278/100 |
| Open Issues | 5 |
| Last Updated | 2026-09-03 |
| Created | 2026-05-25 |
| Platforms | claude-code, python |
| Est. Tokens | ~13k |
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cc-tree is Claude Code plugin: universal radial-tree exploration engine. One tree skill + swappable presets (brainstorm / attack / design / code-audit) for divergent ideation, adversarial critique, and design-sp. It is categorized as a Agent Tool with 107 GitHub stars.
cc-tree is primarily written in Python. It covers topics such as adversarial-review, ai-agent, anthropic.
You can find installation instructions and usage details in the cc-tree GitHub repository at github.com/skymanbp/cc-tree. The project has 107 stars and 0 forks, indicating an active community.
cc-tree is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to cc-tree on Agent Skills Hub include deliberation, code-abyss, aiwg. 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.
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