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.
Scottcjnllms.txtScottcjn/rustchain-bounties/llms.txt
Star + fix doc issue / first PR (2 RTC)](https://github.com/Scottcjn/rustchain-bounties/issues/2783). - [#2784 Star + test miner + hardware report (3 RTC)](https://github.com/Scottcjn/rustchain-bounties/issues/2784). ## Payout rules - Currency: RTC only. No fiat
1105216375-altllms.txt1105216375-alt/resimind/llms.txt
readable probe cases](https://github.com/1105216375-alt/resimind/blob/main/examples/agent_probe_cases.json): ordered requests and public expectations; a functional smoke test, not a hidden benchmark. - [28-task repair challenge](https://github.com/1105216375-alt/resimind/blob/main/docs/catch-the-wrong-step.md): correct, mutated and unsupported
KimYx0207llms.txtKimYx0207/Meta_Kim/llms.txt
formal projections for OpenClaw and Cursor. - The local complete-product MVP has repeatable scripts, tests, reports, and AI-readable delivery artifacts. - Capability-first dispatch is the default governance route: define
dr34mhacksllms.txtdr34mhacks/XSSNow/llms.txt
free, open-source XSS payload database and security research platform for ethical penetration testing and bug bounty hunting. ## About XSSNow provides 1000+ curated Cross-Site Scripting (XSS) payloads
billy-enrizkyReads credentialsllms.txtbilly-enrizky/openbrowser-ai/stress-tests/llms-full.txt
version](https://badge.fury.io/py/openbrowser-ai.svg)](https://pypi.org/project/openbrowser-ai/) [](https://www.python.org/downloads/) [](https://opensource.org/licenses/MIT) [](https://github.com/billy-enrizky/openbrowser-ai/actions) **AI-powered browser automation using LangGraph and CDP (Chrome DevTools Protocol)** OpenBrowser
tamtomPipes a download into a shellllms.txttamtom/play-console-cli/llms.txt
AGENTS.md` for full contribution guide and project structure - `make dev` runs format + lint + test + build - `make test` runs the test suite - TDD is required: start with a failing test, then
OdyseeTeamReads credentialsllms.txtOdyseeTeam/odysee-frontend/llms.txt
shape) - `404` for not found/not owned ## 7.6 Status Endpoints From `internal/status/status.go`: - `/api/v2/status` - resolves fixed test claim (`what#19b9c243...`) against SDK - reports `general_state` and service status - includes assigned server when
wazuhllms.txtwazuh/wazuh-documentation/source/llms.txt
from Windows, Linux, and macOS operating systems, log data analysis with the Wazuh Log Test tool, and use cases for Sysmon, rsyslog relaying, and custom socket outputs. - **[Monitoring Linux system
AI45Labllms.txtAI45Lab/OpenART/llms.txt
artifacts, quickstart, and citation. - [README](https://github.com/AI45Lab/OpenART): Research summary, positioning table, install, smoke test, model-backed evaluation, task generation. - [Paper (arXiv:2608.00677)](https://arxiv.org/abs/2608.00677): Full results — 10K+ validated
nirholasReads credentialsllms.txtnirholas/three.ws/llms-full.txt
# three.ws > Open-source platform for 3D AI agents. Turn text or a photo into
nirholasPipes a download into a shellllms.txtnirholas/three.ws/public/llms-full.txt
# three.ws: Complete Page Index three.ws is the AI-agent layer for the open web
aws-samplesPipes a download into a shellllms.txtaws-samples/sample-well-architected-skills-and-steering/llms.txt
code for all environments - Design for observability from day one ## Evaluations Each skill includes test cases in `skills/*/evals/evals.json`. The `evals/` directory contains an automated runner powered by Amazon Bedrock
KyaniteLabsllms.txtKyaniteLabs/kinocut/docs/llms-full.txt
Package, repository, website and directory publication are separate observations. A source edit or local test does not prove an external release. ## Setup and host integration Install Python 3.11+ and FFmpeg/ffprobe
mattrobinsonsrePipes a download into a shellllms.txtmattrobinsonsre/terrapod/llms.txt
guide for contributors and AI assistants** — architecture orientation, the API↔consumer contract, the code↔tests contract, the test tiers, conventions, and the hard invariants. Read this before changing code. - [docs/index.md
pleaseaillms.txtpleaseai/shunt/llms.txt
Overview](./wiki/src/content/docs/01-getting-started/overview.md) - [Configuration](./wiki/src/content/docs/01-getting-started/configuration.md) - [Operations](./wiki/src/content/docs/01-getting-started/operations.md) ## Deep Dive - [Routing and Configuration](./wiki/src/content/docs/02-deep-dive/routing-and-configuration.md) - [Authentication](./wiki/src/content/docs/02-deep-dive/authentication.md) - [Testing and Quality](./wiki/src/content/docs/02-deep-dive/testing-and-quality.md
pleaseaiReads credentialsllms.txtpleaseai/shunt/wiki/llms-full.txt
against the live xAI API — implemented from the reference clients (Hermes, OpenCode) and unit-tested with mocked endpoints only. ## Overview shunt ships a built-in `xai` provider that translates Anthropic
pleaseaillms.txtpleaseai/shunt/wiki/llms.txt
Translation](./src/content/docs/02-deep-dive/adapters-and-translation.md) — /02-deep-dive/adapters-and-translation - [Architecture](./src/content/docs/02-deep-dive/architecture.md) — /02-deep-dive/architecture - [Authentication](./src/content/docs/02-deep-dive/authentication.md) — /02-deep-dive/authentication - [Routing and Configuration](./src/content/docs/02-deep-dive/routing-and-configuration.md) — /02-deep-dive/routing-and-configuration - [Testing and Quality](./src/content/docs/02-deep-dive/testing-and-quality.md) — /02-deep-dive/testing-and-quality
clearcotelabsllms.txtclearcotelabs/clearcote-browser/llms.txt
Python and Node): `clearcote install`, `clearcote info` (checks the install, engine features, a launch test, licence seats), `clearcote login [key]`, `clearcote clear-cache`, `clearcote serve` (one CDP endpoint, many identities
sachitrafallms.txtsachitrafa/YourMemory/llms.txt
Cloud 28% | | HotpotQA distractor (200 multi-hop questions) | BOTH_FOUND@5 | 71.5% | HotpotQA tests whether a memory system can connect a chain of facts — not just retrieve similar ones. Entity
decionisllms.txtdecionis/govern/llms.txt
binary for GitHub Actions, GitLab CI, Jenkins and any runner; its source, tests and releases are in decionis/agent-safe-pipeline under govern/. Key inputs: `api-key`, `tenant-id`, `mode` (enforce | shadow), `action
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.
