by mmlong818 · Agent Tool · ★ 86
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/mmlong818/skillforge.gitTaken from the project's README on GitHub. Check the security audit before running it.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 86 |
| Forks | 19 |
| Language | TypeScript |
| Category | Agent Tool |
| Quality Score | 64/100 |
| Open Issues | 4 |
| Last Updated | 2026-07-16 |
| Created | 2026-03-10 |
| Platforms | claude-code, node |
| Est. Tokens | ~15k |
SkillForge v1.4 AI Agent Skills 锻造炉 — 用 AI 自动锻造生产级 Agent Skills 的开源工具。 这是什么 SkillForge 是一个完整的 Web 应用，内置经过实战验证的 4 步 Agent Skills 生成引擎，严格对齐 Anthropic 官方 Agent Skills 规范。 它解决一个核心问题：如何让 AI 模型生成真正可用的、符合官方最佳实践的 Agent Skill，而不是内容过长、格式错误、无法触发的半成品。 核心功能 两大模式 创建新 Skill — 4 步生成流程 修正已有 Skill — 3 步优化流程 保留原始意
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: