mcp-server-macos-use
mediar-ai/mcp-server-macos-use/llms.txt
macOS apps that have no CLI or API (Finder, System Settings, App Store) - GUI testing and verification (navigate to a screen, check element state) - Multi-app workflows (open
How real projects summarise themselves for language models.
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
mediar-ai/mcp-server-macos-use/llms.txt
macOS apps that have no CLI or API (Finder, System Settings, App Store) - GUI testing and verification (navigate to a screen, check element state) - Multi-app workflows (open
scverse/pertpy/docs/llms.txt
scores in pooled CRISPR screens. - [Differential abundance without labeled groups](https://pertpy.scverse.org/page/api/tools_index.html#compositional-analysis): `pt.tl.Milo` tests differential abundance on k-nearest-neighbor graph neighborhoods. - [Compositional analysis with labeled groups](https://pertpy.scverse.org
Mina-Massoud/Mina-Rich-Editor/public/llms.txt
45KB gzipped. ## Key Facts - License: MIT (free for commercial use) - Bundle size: ~45KB gzipped - Test coverage: 440+ tests - Block types: 15+ (paragraphs, headings, lists, code, tables, images, toggles, etc.) - Framework
langchain-ai/langchain-aws/llms-full.txt
response = secure_llm.secure_invoke("Tell me about data privacy laws") ``` ## Testing and Monitoring ### Integration Testing ```python import pytest from unittest.mock import patch, MagicMock from langchain_aws import ChatBedrock, BedrockEmbeddings class TestLangChainAWS
Orkas-AI/Orkas-VideoStudio/llms.txt
choose a framework, SaaS editor or this project. - [Development](https://github.com/Orkas-AI/Orkas-VideoStudio/blob/main/README.md#development): Deterministic video tests, the e2e production run, the pnpm verify gate before commits, artifact retention and the zero
zenodo/zenodo-rdm/static/llms.txt
with AI tools or agents: - Publishing a record is public and registers a DOI. Test on the [sandbox](https://sandbox.zenodo.org), which needs its own account and token (see [testing
Kooboo/Kooboo/llms.txt
Utils: 3 functions - Settings: 2 functions ## Optional - [5000 sites benchmark](https://github.com/Kooboo/Kooboo/blob/main/Docs/5000-sites-benchmark.md): stress-test evidence for running thousands of dynamic sites on one instance. - [Under 1 ms render benchmark
base/docs/docs/llms-full.txt
docs.base.org/base-chain/network-information/ecosystem-bridges) for routes from Ethereum, Solana, and Bitcoin. ## Testnet (Base Sepolia) - Get free test ETH and USDC from the [Base faucets](https://docs.base.org/base-chain/network-information/network-faucets). - Test USDC is also available
base/docs/docs/llms.txt
outcome: integrate DeFi, tokenize assets, issue stablecoins, accept payments, or run private transactions. - [Test on Vibenet](https://docs.base.org/build-on-base/test-on-vibenet): Build and test against Base's newest chain-level features
el09xccxy-stack/oss-investment-scorecard/llms.txt
projects from Seed through Series B. They have not yet been back-tested against funding or exit outcomes; v2.0 will do that. From v1.4 (October 2026), the primary audience
raysonmeng/agent-bridge/site/llms.txt
Linux (Windows not officially supported yet) - Runtime: Bun (required — Node.js alone is not sufficient) - Tests: 1,700+ - Runs 100% locally; no accounts, API keys, or servers needed for AgentBridge itself
caiopizzol/cnpj-data-pipeline/llms.txt
just down just db just run just reset just lint just format just test just check ``` Use uv and just as the primary flow. Do not replace them with
nirholas/cryptocurrency.cv/llms-full.txt
/api/rag/batch Batch RAG processing for multiple queries. ### GET /api/rag/eval RAG evaluation against a test set. ### GET /api/rag/feedback Submit feedback on RAG answers. ### GET /api/rag/personalization Personalised RAG based on user preferences
nirholas/cryptocurrency.cv/public/llms-full.txt
/api/rag/batch Batch RAG processing for multiple queries. ### GET /api/rag/eval RAG evaluation against a test set. ### GET /api/rag/feedback Submit feedback on RAG answers. ### GET /api/rag/personalization Personalised RAG based on user preferences
arcprize/ARC-AGI-3-Agents/llms.txt
/wMLZrEFGDh33DhzV9> --- ## Contributing 1. Fork the repo & create a branch. 2. Make changes and ensure tests pass. 3. Set up `ruff` pre-commit hooks for linting & formatting: ```bash pip install
claude-did-this/MCPControl/docs/llms-full.txt
Diagnostics** * Implement health checks * Monitor connection state * Track resource usage * Profile performance 3. **Testing** * Test different transports * Verify error handling * Check edge cases * Load test servers # Prompts Source: https://modelcontextprotocol.io
canonical/ubuntu.com/templates/llms-full.txt
This preserves application compatibility while closing the security gap. Every security update undergoes regression testing before publication, helping users preserve stability. Ubuntu's security architecture includes AppArmor mandatory access control
canonical/ubuntu.com/templates/llms.txt
providers. ## Hardware - [Ubuntu certified hardware](https://ubuntu.com/certified?format=md): Laptops, desktops, servers, and IoT devices tested and certified to work with Ubuntu, from manufacturers including Dell, HP, Lenovo, and others. - [Certified
bibinprathap/VeritasGraph/llms-full.txt
Reasoning Layer - Reasoner package root: [veritas-reason/](./veritas-reason/) - Policy examples: [rules/sod_policy.yaml](./rules/sod_policy.yaml) - Compliance demo test: [tests/test_policy_compliance_demo.py](./tests/test_policy_compliance_demo.py) ## Data and Retrieval Flow 1. Ingest documents and optionally structured data. 2. Extract
walt-id/waltid-identity/llms.txt
github.com/walt-id/waltid-identity/blob/main/docs/mobile-wallet-development.md): setup for the native mobile SDK, demo apps, and mobile integration tests. - [waltid-services E2E/integration tests](https://github.com/walt-id/waltid-identity/tree/main/waltid-services/waltid-e2e-tests): cross-service test suites
A markdown file at a website's root that gives language models a short guide to the site and links to the pages worth reading.
The same idea with the content included, so an agent can read the documentation in one request.
Agents and tools that fetch documentation on someone's behalf. It's a proposal, not a standard, and support varies.
Start with a one-line summary, then sections of links with a sentence each. The examples here show what real projects do.