jarvis-registry
ascending-llc/jarvis-registry/docs/llms-full.txt
# Jarvis Registry: Full Documentation > Jarvis Registry is a self-hostable enterprise gateway and registry
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.
ascending-llc/jarvis-registry/docs/llms-full.txt
# Jarvis Registry: Full Documentation > Jarvis Registry is a self-hostable enterprise gateway and registry
ascending-llc/jarvis-registry/docs/llms.txt
simple: connect to whatever observability backend you already use — Grafana, New Relic, Datadog,... ## Walkthroughs - [Test MCP Access with Two Users](https://jarvisregistry.com/walkthroughs/mcp-access-control/): Before connecting a business system, check whether
physics-dimension/PriceAI/public/llms.txt
Official API section focuses on official APIs, public documentation, public model routing platforms, free test quotas, and Token Plans that can be verified from public sources. It does not present
1 project uses a version of this
truera/trulens/docs/llms.txt
code written against the pre-1.0 API - [Development setup](https://www.trulens.org/contributing/development/): Building and testing TruLens itself - [Release history](https://www.trulens.org/contributing/release_history/) - [Blog](https://www.trulens.org/blog/) - [PyPI](https://pypi.org/project/trulens/):
No other project uses it yet
erigontech/erigon/llms-full.txt
existing Execution Layer (EL) client (like Geth)**. This allows for full functional verification, thorough testing, and a transition with **zero downtime**. Since Erigon requires **less disk space** than most clients
Ataraxy-Labs/sem/docs/llms.txt
apart ``` ### sem impact: what does my change touch? ``` sem impact parseConfig # dependents, dependencies and tests it reaches sem impact parseConfig --tests # only the tests to run sem impact --diff HEAD
Steady11 mentions in 2 weeks
No other project uses it yet
langchain-ai/langgraphjs/docs/docs/llms.txt
deployment (JavaScript)](https://docs.langchain.com/oss/javascript/langgraph/cloud/deployment/setup_javascript/) - [How to customize Dockerfile](https://docs.langchain.com/oss/javascript/langgraph/cloud/deployment/custom_docker/) - [How to test locally](https://docs.langchain.com/oss/javascript/langgraph/cloud/deployment/test_locally/) - [How to integrate LangGraph into your React application](https://docs.langchain.com/oss/javascript/langgraph/cloud/how-tos/use_stream_react/)
Steady6 mentions in 2 weeks
No other project uses it yet
alexei-led/pumba/llms.txt
Pumba > Chaos testing, network emulation, and stress testing tool for Docker containers. Pumba is a chaos engineering tool for Docker. It can kill, stop, pause, and remove containers, inject network
Steady4 mentions in 2 weeks
No other project uses it yet
PurpleDoubleD/locally-uncensored/docs/llms-full.txt
Metal, and Create makes images and video on the Mac itself, without ComfyUI. We tested it on an M5 Pro with 48 GB. Tell us how it runs on yours
PurpleDoubleD/locally-uncensored/docs/llms.txt
locally, which data leaves the machine and where to, the checks every release passes: tests, CodeQL, npm/cargo dependency audit, OpenSSF Scorecard; signed updates, SHA256SUMS and CycloneDX SBOM from
mengjian-github/openclaw101/public/llms-full.txt
recommended for 24/7 operation. You can run OpenClaw locally on Mac or Windows for testing. For production use, deploy to a Linux VPS and use the Browser Relay extension
No other project uses it yet
CanineHQ/canine/public/llms.txt
setup bin/dev # Start dev server (web + worker + asset watchers) rake spec # Run all RSpec tests bin/rubocop # Lint Ruby code bin/brakeman # Security scan rails db:migrate # Run migrations ``` ## Key Patterns - Multi
No other project uses it yet
chdb-io/chdb/llms-full.txt
# chDB > chDB is an in-process OLAP SQL engine powered by ClickHouse, embedded as
No other project uses it yet
CodeBoarding/CodeBoarding/llms.txt
static analysis and health checks only — no LLM agents or diagram generation. Useful for testing health checks in isolation and for CI/CD health gates. Usage: # Local repository python health_main.py /path/to/repo
No other project uses it yet
botswin/BotBrowser/llms.txt
high-density deployments. - [SCREENSHOT_BEST_PRACTICES](https://raw.githubusercontent.com/botswin/BotBrowser/main/docs/guides/deployment/SCREENSHOT_BEST_PRACTICES.md): screenshot capture best practices. ## Validation Test Suites Tests live under [tests/tests/antibots](https://github.com/botswin/BotBrowser/tree/main/tests/tests/antibots) as Playwright `*.spec.ts` files. They exist
google/zerocopy/anneal/v1/llms-full.txt
section`. **What this means for you:** You cannot use Lean's `#eval` command to test the runtime behavior of your verified functions computationally. They are strictly mathematical models. # Module
No other project uses it yet
facebookresearch/fairchem/docs/llms-full.txt
# FAIR Chemistry: Complete Documentation Canonical site: https://facebookresearch.github.io/fairchem/ --- Source: `docs/index.md` +++ {"class": "col-page
Jieyab89/OSINT-Cheat-sheet/llms.txt
OSINT for military and journalism applications, and IT security including operating systems and penetration testing. Active in the field for over three years, he began intensive study
No other project uses it yet
tractorjuice/arc-kit/docs/llms.txt
Design](https://arckit.org/guides/agent-design.md): `/arckit-agent-architecture:agent-design` patterns, tool contracts, memory, orchestration, guardrails, and testing. - [AI Agent Governance](https://arckit.org/guides/agent-governance.md): `/arckit-agent-architecture:agent-governance` oversight model, approvals, audit requirements, monitoring
mrgoonie/claudekit-skills/.claude/skills/claude-code/llms.txt
commands (/cook, /plan, /debug, /test) - Fix commands (/fix:fast, /fix:hard, /fix:types, /fix:test, /fix:ui, /fix:ci) - Documentation commands (/docs:init, /docs:update, /docs:summarize) - Git commands (/git
3 projects use a version of this
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.