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.
scversellms.txtscverse/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
mindroom-aiReads credentialsllms.txtmindroom-ai/mindroom/skills/mindroom-docs/references/llms-full.txt
forces' BwMessenger, Germany's national healthcare messenger TI-Messenger, and a messenger NATO is testing all run on it. The [Security Model](https://docs.mindroom.chat/architecture/security-posture/) documents exactly which boundary protects
LangChainReads credentialsllms.txtlangchain-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
Kooboollms.txtKooboo/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
baseReads credentialsllms.txtbase/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
basellms.txtbase/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
SentryReads credentialsllms.txtgetsentry/vitest-evals/packages/docs/public/llms.txt
vitest-evals > Harness-backed AI evaluation tests on top of Vitest. `vitest-evals` lets teams write evals as ordinary Vitest tests while still capturing the AI-specific data needed
el09xccxy-stackllms.txtel09xccxy-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
raysonmengPipes a download into a shellllms.txtraysonmeng/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
caiopizzolReads credentialsllms.txtcaiopizzol/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
OpusGameLabsllms.txtOpusGameLabs/game-creator/skills/threejs-game/reference/llms-full.txt
# Three.js > Three.js is a cross-browser JavaScript library for creating 3D graphics using WebGL
Orkas-AIllms.txtOrkas-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
arcprizeReads credentialsllms.txtarcprize/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
nirholasllms.txtnirholas/free-crypto-news/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
nirholasllms.txtnirholas/free-crypto-news/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
claude-did-thisPipes a download into a shellllms.txtclaude-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
canonicalllms.txtcanonical/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
canonicalllms.txtcanonical/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
SveltyCMSllms.txtSveltyCMS/SveltyCMS/static/llms.txt
public docs are organized by the question the reader has. Architecture essays, test write-ups, and project records are linked from these sections. They are not the first page
bibinprathapllms.txtbibinprathap/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
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.
