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.
chernistryPipes a download into a shellllms.txtchernistry/bernstein/docs/llms-full.txt
execution, git worktree isolation, janitor verification, quality gates (lint, types, PII scan), cross-model code review, circuit breaker for misbehaving agents, token growth monitoring with auto-intervention. - **Intelligence**. Contextual bandit
1 project uses a version of this
hanzohanzhellms.txthanzohanzhe/Grandet/llms.txt
raw.githubusercontent.com/hanzohanzhe/Grandet/main/data/RELEASE-v3.json : schema, SHA-256, observation policy and release status - https://raw.githubusercontent.com/hanzohanzhe/Grandet/main/data/free-tokens-v3.json : complete reviewed v3 records and conditions - https://raw.githubusercontent.com/hanzohanzhe/Grandet/main/CATALOGUE-v3.md : full bilingual records - https://raw.githubusercontent.com/hanzohanzhe/Grandet/main/METHODOLOGY.md : how the data
DeepMystllms.txtDeepMyst/Mysti/llms.txt
separate fix. - [History and checkpoints](https://raw.githubusercontent.com/DeepMyst/Mysti/main/docs/walkthroughs/history-and-checkpoints.md): Reopen, fork, export and understand code rewind boundaries. - [Troubleshooting](https://raw.githubusercontent.com/DeepMyst/Mysti/main/docs/TROUBLESHOOTING.md): Diagnose setup, authentication, transport, browser and recovery failures. - [Backup
agentbay-aiReads credentialsllms.txtagentbay-ai/wuying-agentbay-sdk/llms-full.txt
Directory structure: └── wuying-agentbay-sdk/ ├── README.md ├── docs/ │ ├── README.md │ ├── guides/ │ │ ├── README.md │ │ ├── browser-use/ │ │ │ ├── README.md │ │ ├── codespace
1 project uses a version of this
scrapflyllms.txtscrapfly/scrapfly-scrapers/llms.txt
search - `scrape_reviews(skuid, max_pages=None)`: scrape review data from the reviews API - **Bing.com** (`bing-scraper/`): [code](https://github.com/scrapfly/scrapfly-scrapers/tree/main/bing-scraper) | guide: [How to Scrape Bing Search with Python
openqodexllms.txtopenqodex/openqodex/docs/llms.txt
OpenQodex for AI agents](for-agents.md) - [Agents](agents.md) - [Benchmark results](benchmark-results.md) - [The review benchmark](benchmark.md) - [Code review in Claude Code](claude-code-review.md) - [Commands](cli.md) - [Configuration](config.md) - [Custom scanners](custom-scanners.md) - [FAQ](faq.md) - [GitHub
Steady7 mentions in 2 weeks
No other project uses it yet
borgheiReads credentialsllms.txtborghei/Claude-Skills/site/llms.txt
posture security across AWS, Azure, and GCP — IAM least privilege, public exposure, encryption, logging... - [Code Reviewer](https://borghei.github.io/Claude-Skills/skills/engineering/code-reviewer.html): Code review automation for TypeScript, JavaScript, Python, Go, Swift, and Kotlin
Steady5 mentions in 2 weeks
No other project uses it yet
agentic-communityPipes a download into a shellllms.txtagentic-community/mcp-gateway-registry/docs/llms.txt
Agent State Management **Agent State File (registry/agents/agent_state.json):** ```json { "agents": { "/code-reviewer": { "path": "/code-reviewer", "name": "Code Reviewer Agent", "enabled": true, "registered_at": "2024-11-09T14:45:00Z", "last_modified
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.
