无凭据 MCP 策略代理,具备细粒度能力与防篡改凭证。Secretless MCP policy proxy with scoped capabilities and tamper-evident receipts
仓库/Skill 库
3136 个
将 AI/ML/DL 应用于 CarakaBinary(源自《Carakasaṃhitā》的梵文 NLP 数据集)的研究项目。通过探索 EDA、ML、DL 与预训练模型来学习可复现研究。长期目标:为梵文与阿育吠陀知识构建可信的 AI。Research project applying AI/ML/DL to CarakaBinary, a Sanskrit NLP dataset derived from the Carakasaṃhitā. Exploring EDA, ML, DL and pretrained models to learn reproducible research. Long-term aim: build trustworthy AI for Sanskrit and Ayurvedic knowledge.
一个生产级 RAG 系统,能自主决定检索方式——从本地向量库、Web 搜索或两者结合,以引用、多源综合的方式回答研究问题A production-grade RAG system that autonomously decides how to retrieve information — from a local vector store, web search, or both to answer research questions with cited, multi-source synthesis.
独立的自主证据综合与系统综述工作台Standalone Autonomous Evidence Synthesis & Systematic Review Workbench
使用 R 进行荣誉研究项目的源码与统计分析。Source code and statistical analysis for my honours research project using R.
本仓库包含用于结构化数据新型类别不平衡学习方法系统文献综述的 Python 流水线与最终数据集,支持文章自动筛选,并提供文章级与实验级摘要,包括所用数据集与报告的性能结果。This repository contains a Python-based pipeline and final dataset used in a Systematic Literature Review on novel class imbalance learning methods for structured data. It supports automated article filtering and provides article- and experiment-level summaries, including datasets used and reported performance results.
面向生态学文献综述的 AI 辅助流水线,内置对 iEcology 与保护生物学相关数据源(社交媒体追踪、博物馆标本记录、新闻档案)的支持。AI-assisted pipeline for ecological literature review with built-in support for data sources relevant to iEcology and conservation biology (social-media tracking, museum specimen records, news archives).
适用于代码 agent 的安全只读型服务器资源管理器:MCP 接口、RO 沙箱,docker/postgres/redis/mongo/rabbitmq 插件Безопасный readonly-эксплорер сервера для кодового агента: MCP-интерфейс, RO-песочница, плагины docker/postgres/redis/mongo/rabbitmq
升级 Grand Theft Auto V(GTA V)画面表现,增强真实光照、天气效果与改进贴图,带来终极 4K 视觉体验。Upgrade Grand Theft Auto V graphics with realistic lighting, weather effects, and improved textures for a definitive 4K visual experience.
展示学术写作与技术传播成果的专业数字作品集。Professional digital portfolio showcasing my academic writing and technical communication work.
AI Kubernetes 升级智能平台——通过确定性兼容性分析 + RAG-grounded LLM 规划,实现安全集群升级(EKS/GKE/AKS/OpenShift/kubeadm)。AI Kubernetes Upgrade Intelligence Platform — deterministic compatibility analysis + RAG-grounded LLM planning for safe cluster upgrades (EKS/GKE/AKS/OpenShift/kubeadm)
接收研究问题 → 检索网页 → 阅读关键页面 → 综合输出带引文与置信度分数的结构化报告。Takes a research question → searches the web → reads key pages → synthesizes a structured report with citations and confidence scores
守护你的 .bib 文件:在写入前验证引用,查找每篇论文的真实出版信息,并保持整个参考文献格式统一。纯标准库 Python,无需 pip,无需 API key。Your .bib, guarded: verify a citation before it is written, find where each paper was really published, and keep the whole bibliography in one format. Stdlib-only Python, no pip, no API key required.
面向 Neuro-Olfactive Intelligence 的专有可复现研究框架Proprietary reproducible research framework for Neuro-Olfactive Intelligence
由 AI 驱动的交易研究与市场情报平台,使用智能 AI agent、SQL、RAG、市场数据以及外部工具来分析研究问题并生成结构化的市场洞察。An AI-powered trading research and market intelligence platform that uses an intelligent AI agent, SQL, RAG, market data, and external tools to analyze research questions and generate structured market insights.
🤖 通过教育型对冲基金模型探索 AI 驱动的交易决策,融合多位知名金融专家的多元投资策略。🤖 Explore AI-driven trading decisions with our educational hedge fund model, featuring diverse investment strategies from renowned financial experts.
基于 Codex、LaTeX、TeX Live 与 VS Code 的双语可复现学术写作工作流。A bilingual, reproducible workflow for academic writing with Codex, LaTeX, TeX Live, and VS Code.
Digital-HR 是面向 Coforge HR-India 的企业级 HR 政策助手,内置 Siya——智能、亲和、平易近人的专业 AI HRDigital-HR is an enterprise-grade HR Policy Assistant for Coforge HR-India, featuring Siya— an intelligent, warm, approachable, and professional AI HR
完整的 S&P 500 质量评分项目:数据采集与剖析、修正板块/子行业错配、清洗异常值与缺失值、将 5 项指标归一化为综合得分、回答全部 4 个研究问题,并搭建交互式 Power BI 仪表盘Complete S&P 500 Quality Score project: sourced and profiled data, fixed the sector/sub-industry mismatch, cleaned outliers and missing values, normalized 5 metrics into a composite score, answered all 4 research questions, and built an interactive Power BI dashboard.
本项目研究金融市场的统计特性、不同资产的收益行为、风险测度以及跨市场关联的量化方法,奠定量化研究的核心技能基础。This project investigates the statistical properties of financial markets, how different assets behave, how risk is measured, and how inter-market relationships can be quantified; building the core skills used in quantitative research.
可复现研究流程,通过改造预训练 LLM tokenizer 降低尼泊尔天城文分词成本:连续/字素感知的 BPE 候选挖掘、基于边际增益的贪心词表选择、保留 ID 的 merge 拼接、基于分解的 embedding 初始化,以及 embedding-only/LoRA/CPT 适配;面向 6GB 笔记本 GPU 调优。Reproducible research pipeline that reduces Nepali Devanagari tokenization tax by retrofitting a pretrained LLM tokenizer: continued/grapheme-aware BPE candidate mining, greedy marginal-gain vocabulary selection, ID-preserving merge splicing, decomposition-based embedding init, and embedding-only/LoRA/CPT adaptation. Tuned for a 6GB laptop GPU.
一款连接 AI 助手与 Sci-Hub 的 MCP 服务器,用于自动化学术研究。专为 RAG 设计,可绕过付费墙、处理验证码、通过 OCR 提取文本,并作为循证推理的主要数据获取器An MCP server that bridges AI assistants with Sci-Hub for automated academic research. Designed for Retrieval-Augmented Generation (RAG), it bypasses paywalls, handles captchas, extracts text via OCR, and serves as the primary data-fetcher for evidence-based reasoning.
Rust Graph Tracker:为 LLM 编程 Agent 提供数值与日期来源追踪,支持表达式求值与推导验证Rust Graph Tracker: numeric and date provenance tracking with expression evaluation and derivation verification for LLM coding agents
《面向可持续制药制造的混合人工智能:系统综述、分类法、整合框架与研究议程》的数据、代码与补充材料Data, code, and supplementary materials for Hybrid Artificial Intelligence for Sustainable Pharmaceutical Manufacturing: A Systematic Review, Taxonomy, Integrative Framework, and Research Agenda
Euro Truck Simulator 2 / American Truck Simulator 的遥测与驾驶分析 MCP server,附带无头 Claude 分析 agent。只读、Family-A。MCP server for Euro Truck Simulator 2 / American Truck Simulator telemetry + driving analytics, with a headless Claude analytics agent. Read-only, Family-A.
不要再重复解决同一段代码——一个本地优先的分布式推理缓存:来自真实环境的匿名兼容性证据,加上面向编码 LLM 的已验证最小示例。Stop solving the same code twice — a local-first distributed reasoning cache: anonymous compatibility evidence from real environments plus verified minimal samples for coding LLMs.
可复现研究:基于基准、统计模型与走步前向验证,检验可解释的市场信号能否预测 SPY 的五日方向。Reproducible research testing whether interpretable market signals can forecast SPY’s five-day direction using benchmarks, statistical models, and walk-forward validation.
用于构建高质量医美研究问题的 Codex SkillCodex skill for developing strong medical aesthetic research questions
应用 AI、可复现研究与可靠工程。Applied AI, reproducible research, and reliable engineering.
提供清晰的分步指南,介绍如何在 Arch Linux 上结合 rEFInd 与 Nvidia 硬件启用带模块签名强制的 Secure Boot。Provide a clear, step-by-step guide to enable Secure Boot with module signature enforcement on Arch Linux using rEFInd and Nvidia hardware.