by NJUxlj · Agent Tool · ★ 83
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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.
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 | 83 |
| Forks | 6 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 62/100 |
| Open Issues | 5 |
| Last Updated | 2026-07-06 |
| Created | 2024-04-19 |
| Platforms | python |
| Est. Tokens | ~15k |
基于Qwen2.5+LoRA微调+RLHF+RAG的旅游路径规划智能体 注： 如果各位运行项目出现问题无法解决的话，可以直接给我提issue，我会抽空fix的。 最好附上报错截图。 近期修复： 2026-04-15 代码全面审查与修复：共修复26个问题 训练器修复：ppo/dpo/grpo/sft初始化、参数误用、语法错误、混合精度 RAG系统：correctiverag实现、rag()方法、导入路径、数据库初始化逻辑 安全修复：移除toolexecutor中的eval安全风险 代码质量：环境变量配置、循环导入、代码重复、梯度检查点 导入路径：修复main.py、rag.py、ragwebdemo.py等处的所有导入错误 项目的组成部分 本项目希望借助轻量级大模型帮助用户在本地更好地规划旅行路径，提高旅行体验。本项目是基于Qwen2.5+SFT微调+RLHF+RAG的旅游路径规划智能体。...
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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: