仓库/Skill 库

Numbat Systematic Review ManagerNumbat Systematic Review Manager

面向 MetaTrader 5 的可配置开盘区间突破 EA，附带可复现的研究 harness；所有参数均为输入项，兼容 Windows 与 Linux/WineConfigurable opening-range breakout EA for MetaTrader 5, with a reproducible research harness. Every parameter is an input; runs on Windows and Linux/Wine.

CloserAI — 基于 DeepSeek Harness 构建的本地优先、模型无关、权限透明的桌面 AI 工作台。CloserAI - a local-first, model-agnostic, permission-transparent desktop AI workbench built on DeepSeek Harness.

系统综述与论文清单：探索面向代码的 LLM 中数据与代码质量问题的映射、检测与治理。Systematic review and paper list exploring the mapping, detection, and governance of data and code quality issues in Large Language Models for Code.

自动化并规模化 "LLMs as a participant"，将 LLM 作为研究参与者Automates and scales "LLMs as a participant."

实时更新的向量数据库项目、集成和基准评测全景图——每……刷新。Live-updating landscape of vector database projects, integrations, and benchmarks — refreshed every

用于生成基于 Transformer 的 LLM 完整注意力头热力图的一组脚本。A set of scripts to generate full attention-head heatmaps for transformer-based LLMs

可复现研究代码：检验足球预测优势是否依赖于博彩公司去水方法。Reproducible research code testing whether football forecasting edges depend on bookmaker de-margining methods.

硕士论文（UiB，计算语言学，2023）及扩展工作。针对系统综述筛选的文本分类。原始 11 工作流分析结合 NEO ontology 集成，以及 Cohen 等人（2006）药物类别基准的扩展，比较 BoW 与 BiomedBERT。Master's thesis (UiB, Computational Linguistics, 2023) and extension work. Text classification for systematic review screening. Original 11-workflow analysis with NEO ontology integration plus Cohen et al. (2006) drug-class benchmark extension comparing BoW and BiomedBERT.

AI4Scholar for DeepSeek Harness (dsh)：38 个原生学术工具——Semantic Scholar、PubMed、Google Scholar、arXiv、bioRxiv/medRxiv、DOI、全文、自动引用、图表、统一搜索。由 ai4scholar.net 提供支持AI4Scholar for DeepSeek Harness (dsh): 38 native academic tools — Semantic Scholar, PubMed, Google Scholar, arXiv, bioRxiv/medRxiv, DOI, full text, auto-cite, figures, unified search. Powered by ai4scholar.net

akaOSS studio——五个面向人在回路 AI 测量与开发者工具的开源项目，Assist-Not-Complete 论文，可复现研究信息流，以及 HITL Kit 的 shadcn registry。站点 akaoss.dev。The akaOSS studio — five open-source projects for human-in-the-loop AI measurement and developer tooling, the Assist-Not-Complete paper, a reproducible research feed, and the HITL Kit shadcn registry. Live at akaoss.dev.

面向 AI 生成可执行方案的 verifier-first 运行时，支持独立验证、对比与检索。A verifier-first runtime for independently verifying, comparing, and searching AI-generated executable solutions.

面向 DeepSeek Harness 的本地文献综述、PDF 标注、证据综合与研究笔记工作台。A local literature review, PDF annotation, evidence synthesis, and research notes workbench for DeepSeek Harness.

Amadeus（来自《Steins;Gate 0》的 AI 助手）适配 DeepSeek Harness。Amadeus (AI assistant from Steins;Gate 0) for DeepSeek Harness

论文《Physics-Informed Neural Networks and Neural Operators for PDEs: A Unified Taxonomy and Systematic Review》（Neural Networks）的补充材料：PRISMA 数据集、PDE 复杂度评分标准以及概念验证的统一基准。Supplementary materials for 'Physics-Informed Neural Networks and Neural Operators for PDEs: A Unified Taxonomy and Systematic Review' (Neural Networks): PRISMA datasets, PDE complexity rubric, and proof-of-concept unified benchmark

[NeurIPS 2026] 基于释义感知评分的 LLM 不确定性量化 conformal prediction[NeurIPS 2026] Conformal Prediction with Paraphrase-Aware Scoring for LLM Uncertainty Quantification.

系统性综述systematic-review

一个用 AI Harness 流程引导 Git 仓库的 CLI —— 基于固定课程骨架提供模板、文档门禁与特定语言的代码门禁。CLI, die ein Git-Repo mit dem AI-Harness-Prozess bootstrappt — Templates, Doc-Gates und sprachspezifische Code-Gates aus gepinnten Kurs-Skeletten.

DeepSeek Harness 个人自研插件集：上下文罗盘 / 跨会话知识 / 子代理模型路由 / AI 生图（Personally developed plugins for DeepSeek Harness）

对情感标注（Lieberman 等 2007 范式）的系统综述与 Meta 分析。随机效应 Meta 分析（k=8），遵循 PRISMA 2020、RoB 2 / ROBINS-I，约 10,500 词手稿。开放数据与代码。Systematic review and meta-analysis of affect labeling (Lieberman et al. 2007 paradigm). Random-effects meta-analysis (k=8), PRISMA 2020, RoB 2 / ROBINS-I, ~10,500-word manuscript. Open data and code.

🔍 在 Weaviate 混合检索中评测 embedding 模型，基于自有数据或 MTEB 数据集评估 MRR@K、Hit@K、延迟与内存占用🔍 Benchmark embedding models in hybrid search with Weaviate. Evaluate MRR@K, Hit@K, latency, and memory using your data or MTEB datasets.

UMD 行星长期记忆算法、公式、基准、SDK 与可复现研究。UMD planetary long-term memory algorithms, formulas, benchmarks, SDKs, and reproducible research

针对 LLM 集成证据筛选（系统综述标题/摘要筛选）的筛选-自验证内核。Screening-and-self-validation kernel for LLM-ensemble evidence screening (systematic review title/abstract screening).

"社会崩溃"主题活体文献综述的永久存储仓库。Repository for permanent storage of a living literature review for societal collapse

本人毕业学年所有天体物理课题汇总。毕业设计聚焦轨道转移优化，采用梯度下降法及 Markov Chain Monte Carlo 方法进行不确定性评估These are all the astrophysics projects in my final year. My final-year project focuses on orbital transfer optimisation using gradient descent and the Markov Chain Monte Carlo method for uncertainty evaluation.

精选的评分量表、检查清单、评分标准集、原则和评分指南汇总，用于对现代生成模型进行评分、排名、验证、过滤或训练。A curated list of rubrics, checklists, criteria sets, principles, and scoring guides used to score, rank, verify, filter, or train modern generative models.

GitHub Page 演示：服务于 2026 年文献综述的 Miscanthus 产量地图。Demonstration of GitHub Page with Miscanthus Yield mapping for Literature Review 2026

ILRI 农业-食品系统气候适应证据综合与系统综述咨询仓库，聚焦"衡量关键：追踪小农户气候适应的有效性"。A repository for the ILRI consultancy on evidence synthesis and systematic reviews of climate adaptation in agri-food systems, focused on “Measuring what matters: tracking the effectiveness of climate adaptation for smallholder producers.”

🔍 使用多种 prompt 技巧在多步数学问题上分析 Mistral-7B 模型的数学推理能力。🔍 Analyze the mathematical reasoning abilities of the Mistral-7B model using diverse prompting techniques on multi-step math problems.

由文本挖掘驱动的科学文献综述。A text mining-driven review of scientific literature.

对两篇文章所获引用的质量审计：可复现的方法、数据、分析与报告Auditoria da qualidade das citações recebidas por dois artigos: método, dados, análises e relatório reprodutíveis

通过系统综述和患者病例场景分析识别潜在药物不良反应（ADR），包括对症状、用药史、剂量及时间线的评估，以确定可疑药物并判断所报告反应是否可能与药物相关。项目展示了基础的 Pharmacovigilance 能力identifying potential Adverse Drug Reactions through systematic review and analysis of patient case scenarios. It includes evaluation of symptoms, medication history, dosage, and timelines to determine the suspected drug and assess whether the reported reaction is potentially drug-related. The project demonstrates basic Pharmacovigilance

支撑 AV/CAV 交通拥堵缓解半系统综述的数据与代码。Data and coding supporting a semi-systematic review of AV/CAV congestion mitigation.

围绕矩匹配情景生成与时序投资组合评估的可复现研究。Reproducible research on moment-matching scenario generation and temporal portfolio evaluation

与供应商无关的 coding-agent 框架，具备确定性工作流图、持久化证据与 fail-closed 沙箱执行。Provider-neutral coding-agent harness with deterministic workflow graphs, durable evidence, and fail-closed sandboxed execution