Local-first、确定性的验证层,用于 AI 声明、记忆写入和风险操作。Local-first, deterministic verification layer for AI claims, memory writes, and risky actions.
仓库/Skill 库
46 个 · 安全与风险 · 工具
智利国家机构网络安全合规扫描器,对标 21.663 号法令及 ANCI 通用指令。结合主动网络扫描与声明式问卷,生成 PDF 差距报告以及面向 CSIRT Chile 的 JSON 报告。Escáner de cumplimiento de ciberseguridad para organismos del Estado chileno, alineado a Ley 21.663; y las Instrucciones Generales de la ANCI. Combina escaneo activo de red con un cuestionario declarativo para producir un informe de brechas en PDF y un reporte JSON listo para CSIRT Chile.
Spectre AI 2026:新一代 OSINT 引擎与自主图谱消歧工具包。Spectre AI 2026: Next-Gen OSINT Engine & Autonomous Graph Disambiguation Toolkit
🔐 使用 KeyVault Pro 安全管理 API key,具备军事级加密、智能自动填充与面向开发者的无缝 AI 集成。🔐 Manage API keys securely with KeyVault Pro, featuring military-grade encryption, intelligent auto-fill, and seamless AI integration for developers.
基于 Base 的 fail-closed 支付安全判定:识别已知恶意钱包、高度相似 token 及反复 rug 的资方。非托管、仅依赖描述符——工具本身不转移资金。Fail-closed safe-to-pay verdicts on Base: known-bad wallets, look-alike tokens, repeat rug funders. Non-custodial, descriptor-only — no tool moves funds.
💳 使用 XGBoost 检测金融交易欺诈,结合针对不平衡数据集与复杂特征的高级优化技术💳 Detect fraudulent financial transactions using XGBoost. Optimize performance with advanced techniques for imbalanced datasets and complex features.
通过硬件 IP 核在硅层级抑制 LLM 幻觉,强制 LLM 输出的语义完整性Enforce semantic integrity in LLM outputs with a hardware IP core that suppresses hallucinations at the silicon level
AI 助手的安检守卫。检查 AI 尝试调用的每一个工具,防止数据泄露与未授权命令。A security guard for AI assistants. It checks every tool an AI tries to use, preventing data leaks and unauthorized commands.
专注于通过统计分析与机器学习模型检测金融欺诈的数据科学研究项目。Data science research project focused on detecting financial fraud through statistical analysis and machine learning models.
一个研究级 Python 流水线,用于分析 Wireshark 抓包数据,提取网络流特征,进行统计分析、异常检测,并生成可用于 GAN 入侵检测系统的机器学习就绪数据集A research-grade Python pipeline for analyzing Wireshark packet captures, extracting network flow features, performing statistical analysis, anomaly detection, and generating machine learning-ready datasets for GAN-based Intrusion Detection Systems.