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 lijigang · Claude Skill · ★ 276
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ljg-skill-roundtable safe to install? View the security audit →
ljg-roundtable 结构化圆桌讨论 — 一个 Claude Code Skill,以"求真"为目标,邀请代表不同思想的真实人物进行多轮辩证对话。 功能 根据议题自动选择 3-5 位真实历史/当代人物,覆盖多元立场 主持人引导多轮辩证讨论,每轮聚焦最深的争议点 每轮生成 ASCII 思考框架图(矩阵/光谱/因果环路/层级树) 讨论结束后生成完整知识网络和开放问题列表 全程输出为 org-mode 文件,保存到 安装 使用 讨论中的指令 输出示例 设计原则 求真 和谐:鼓励尖锐交锋,拒绝表面共识 挖深不铺广:每轮只追一条最深的裂缝 忠于真实思想:每位人物严格基于其经典著作和思想体系发言 结构可视化:用 ASCII 拓扑图暴露讨论的深层结构 License MIT
| Stars | 276 |
| Forks | 32 |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 54.3721588748092/100 |
| Open Issues | 1 |
| Last Updated | 2026-03-24 |
| Created | 2026-02-20 |
| Platforms | claude-code |
| Est. Tokens | ~1k |
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ljg-skill-roundtable is 结构化圆桌讨论 - Claude Code Skill,以求真为目标的多人物辩证对话框架. It is categorized as a Claude Skill with 276 GitHub stars.
You can find installation instructions and usage details in the ljg-skill-roundtable GitHub repository at github.com/lijigang/ljg-skill-roundtable. The project has 276 stars and 32 forks, indicating an active community.
ljg-skill-roundtable is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ljg-skill-roundtable on Agent Skills Hub include claude-codex-settings, digital-marketing-pro, life-sciences. 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: