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MCP servers and skills: search, filter by where they run, and compare.
MCP servers and skills: search, filter by where they run, and compare.
1–24 of 27 tools for “robustness”
Clear allHost-neutral Agent Skills for auditable empirical macro research with Agent Plan 专业数据集 integration.
in the skill text识别审核、数据需求和结论边界 | | `macro-data` | 规范化数据、来源、质量报告和文件校验值 | | `time-series-dynamics` | 逐期动态估计、区间、图形和诊断 | | `robustness-audit` | 替代规格比较、敏感性判断和限制 | | `research-synthesis` | 研究报告、表格、图形和复现材料 | ```text 自然语言研究问题 ↓ empirical-macro
SkillApache-2.0★ 1Few starsNo key
350+ academic research skills, MCP configs, and plugins for Research-Claw and AI agents
in the readme帮我做个固定效应回归并加上稳健性检验。」** > Agent 调用 `panel-data-guide` + `causal-inference-guide` 写出 Stata/Python 代码 → 按 `robustness-checks` 补齐安慰剂检验、聚类标准误等。 > **「审稿人提了三条意见,帮我起草一份逐条回复。」** > Agent 按学术写作技能拆解每条意见 → 区分"已修改 / 已澄清 / 礼貌反驳" → 生成结构规范
Node.jsMIT★ 298No key
OpenART is an open-source framework designed to evaluate the safety and robustness of autonomous AI agents in dynamic, long-horizon, and stateful environments. It stress-tests agent runtimes against m
SkillAGPL-3.0★ 245No key
Community fork of DeusData/codebase-memory-mcp (MIT) — incremental-reindex CALLS-edge fix + 9 integrated upstream PRs. Pure-C code knowledge-graph MCP server.
in the readmewith ambiguity reporting ( #466 ); valid UTF-8 in `get_code_snippet` ( #526 ). > - **Robustness / build** — stack-buffer-overflow fix in `append_args_json` ( #475 ); JSON control-character
SkillMIT★ 242No key
A lightweight Model Context Protocol (MCP) server for Stata. Execute commands, inspect data, retrieve stored results (r()/e()), and view graphs in your chat interface. Built for economists who want to
in the readmeskills catalog for workflows researchers use often: auditing data, replication and robustness checks, specification comparisons, publication QA, referee responses, and modernization of legacy code. Featured
PythonAGPL-3.0★ 86No key
MCP Server Semgrep is a [Model Context Protocol](https://modelcontextprotocol.io) compliant server that integrates the powerful Semgrep static analysis tool with AI assistants like Anthropic Claude. I
in the readmethe Project  is the core feature, not
PythonApache-2.0★ 4Few starsNo key
Agentic coding skills for backtesting trading strategies using VectorBT. Supports Indian, US, and Crypto markets with realistic transaction cost modeling, TA-Lib indicators, QuantStats tearsheets, and
SkillLink only★ 208
Agent skills built from Algorithms for Decision Making (Kochenderfer, Wheeler & Wray). Expected utility, value of information, bandits, robustness, belief filtering and game theory, as SKILL.md files
SkillMIT★ 13No key
MCP server for AlbumentationsX image augmentation workflows
in the readmeand adjusted AlbumentationsX preview contact sheets Ask an MCP host for several robustness variants, reject an excessive result such as `too_noisy:high`, compare the adjusted
PythonAGPL-3.0★ 6No key
Classify GPU workloads as training, inference, or idle from telemetry alone, no self-reported labels.
in the readmejob labels.** WorkloadTruth classifying a synthetic training workload, then running the evasion-robustness benchmark Every GPU scheduler in common use today, including run:ai , Slurm, and
PythonApache-2.0Few starsNo key
A Model Context Protocol (MCP) server that exposes Specmatic's contract testing capabilities to AI coding agents like Claude Code. This server enables comprehensive API contract validation and mock se
in the readmeincluding edge case validation - **Use case**: Verify proper error handling and API robustness #### `manage_mock_server` Complete mock server lifecycle management for frontend development. - **Subcommands**: `start
Node.jsMIT★ 12No key
一个基于 Project Context 进行 Prompt优化 的 Claude Code SKILL,并配置有界面进行迭代优化;Advanced Claude Code skill for systematic prompt engineering. Optimizes prompts using project context, adversarial testing, and iterat
in the skill textQuantitative Evaluation**: Detailed scoring system (0-100) based on clarity, specificity, and robustness. - **Interactive Review (WebView)**: A native desktop UI (Wails) to diff, edit, and confirm
SkillMIT★ 16No key
A research-stage registry where AI agents file falsifiable claims about systemic problems and run open-weights ensembles against them. Disagreement between models is the output
in the readmethe spread metric on its own. The lever is *more models* and robustness diagnostics (leave-one-out, simulated-N). aboard does not pick. It renders both
Node.jsApache-2.0★ 2Few starsNo key
OpenAPI spec in, chaos test harness out: WireMock stubs, contract tests and failure scenarios from a team of local LLM agents.
in the readmeGet back a ready-to-run test harness: WireMock stubs, contract tests, robustness probes, and chaos scenarios, written by a team of LLM agents that review
PythonMITFew starsNo key
MCP server for the xAI Grok Build CLI (grok) — Grok for any MCP client
in the readmeGrok access. Responses are parsed from Grok's structured JSON output for robustness. ## Install Requires Grok Build (`grok`) installed and logged in: ```bash grok -p "say
Node.jsMIT★ 1Few starsNo key
TradeSearcher CLI, SDK, and MCP server for coding agents
in the readmeBTCUSD --sort roi tradesearcher search BTCUSD --sort latestTradeDate tradesearcher search BTCUSD --sort robustness ``` `--equity` can return large JSON arrays. Use it after narrowing to final candidates
Node.jsMITFew starsNeeds a key
Crypto backtesting tools: real backtests with robustness verdicts, daily signals and market data.
Hosted by authorNo licenseFew starsNo key
in the readmefor SDDrive, and convert PNG assets to C sprite headers. - **Robustness**: Native handling of timeouts (30s) and retry policy for unstable network environments (NAS). --- ## 🌐 Public MO5
Node.jsMITFew starsNo key
in the readmeapps. The system follows a two-component architecture that provides scalability and robustness. ## Architecture The project consists of two main components: 1. **Flutter Connector Server
SkillMIT★ 1Few starsNo key
Research-only quantitative engine for AI clients: backtests, robustness testing, provenance, and audit-ready results via MCP.
MCPLink onlyFew stars
Evidence-first AI workflow for economic and financial research: literature → identification → data → econometrics → verifiable LaTeX. 43 data sources, 58 method modules, 18 AI skills, 30 journal templ
in the readmewith heterogeneous treatment effects, cluster-robust SEs at the firm level, 19 robustness checks, parallel-trend plots). - **43 MCP server directories** — covers A-share financials
PythonMIT★ 108No key
Build your own AI hedge fund with Claude, Codex, Cursor & OpenClaw. The agent-native skills directory for Trader Dev MCP — write Pine Script, backtest crypto strategies, optimize parameters.
in the skill textOptimizer — for free. | | Wonder if your backtest is curve-fit. | Built-in robustness discipline: multi-pair, multi-timeframe, drawdown control, honest verdict labels. | | Use
SkillMIT★ 68No key
Automatic optimal discretization pipeline
in the readmecredit scoring, fraud detection, and risk modeling. ## 🆕 What's New **📊 Cross-validated robustness.** `fit` now accepts a `cv` argument for extra held-out robustness views
PythonMIT★ 11No key
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