How real projects summarise themselves for language models.
Aaryanvermallms.txtAaryanverma/graybox/llms.txt
file discovery. - [Packaging](https://github.com/Aaryanverma/graybox/blob/main/pyproject.toml): console entry point, Python requirement, and optional `test`/`azure` dependencies. - [Runtime dependencies](https://github.com/Aaryanverma/graybox/blob/main/requirements.txt): dependencies including LiteLLM, PyYAML, requests, tenacity, python-dotenv, readchar
Sentryllms.txtgetsentry/dotagents/docs/public/llms.txt
subagent name. ```md --- name: code-reviewer description: Review code for correctness, security, and missing tests. --- Review the current diff and return findings with file references. ``` | Field | Type | Required | Description | |-------|------|----------|-------------| | `name
jfarcandllms.txtjfarcand/mirroir-mcp/llms.txt
Types, keyboard maps, timing constants, and protocol definitions shared across the main executable and test targets. The input path: MCP client -> mirroir-mcp -> CGEvent API -> macOS HID -> iPhone Mirroring -> iPhone
roy-tongllms.txtroy-tong/AgentMeasure/llms.txt
payment critical path ## Optional - [proposals/](proposals/): standards-change proposals (AUP) - [CI-DISCIPLINE.md](CI-DISCIPLINE.md): tests-before-push rule
nirholasllms.txtnirholas/three.ws/public/llms-full.txt
# three.ws: Complete Page Index three.ws is the AI-agent layer for the open web
nirholasllms.txtnirholas/three.ws/public/llms.txt
# three.ws > three.ws is the AI-agent layer for the open web: build, embed, monetize
joshuaswarrenllms.txtjoshuaswarren/remnic/llms.txt
SECURITY.md Vulnerability reporting and disclosure. AGENTS.md / CLAUDE.md Agent operating rules and privacy policy. BUILD / TEST / DEVELOP Install: pnpm install Build: pnpm run build Test: pnpm test Typecheck: pnpm run check
garagonllms.txtgaragon/nanostack/llms.txt
reference each other through structured artifacts in `.nanostack/`. ## Verified adapters These hosts have a tested adapter in `adapters/` with documented capability evidence. The `adapters/ .json` files are the single source
tradecatlabsllms.txttradecatlabs/fatecat/llms.txt
produce structured results; FateCat normalizes inputs, capability contracts, evidence fields, Markdown reports, delivery interfaces, tests, and release gates. AI or Agent consumers should interpret the returned structure instead of recalculating
KbWenllms.txtKbWen/agentic-os/llms.txt
Copilot, Google Antigravity, and any Markdown-reading LLM agent — a repeatable plan → build → review → test → ship workflow with enforced quality gates, so they can't skip steps, drift from scope
Scottcjnllms.txtScottcjn/grazer-skill/llms.txt
binaries, supported platforms, and metadata. - `setup.py` defines the Python package and `grazer` console script. - `tests/` contains Python test coverage for discovery, CLI behavior, dry-run previews, and idempotency helpers
missingus3rllms.txtmissingus3r/friday-showcase/llms.txt
heartbeat cron monitors every scheduled job and recreates any that expire (7-day lifetime). ## Tested model Built and proven on **Claude Code with Anthropic's Fable 5.x and Opus
alexei-ledllms.txtalexei-led/cloud-mcp-server/llms.txt
project documentation, installation, configuration, Docker deployment - [Development Guide](https://github.com/alexei-led/aws-mcp-server/blob/main/CLAUDE.md): Build commands, architecture, testing patterns, MCP development guidelines - [Contributing](https://github.com/alexei-led/aws-mcp-server/blob/main/CONTRIBUTING.md): Contribution guidelines and PR process - [Security Policy
nikolai-vysotskyillms.txtnikolai-vysotskyi/trace-mcp/docs/llms-full.txt
what depends on this file or symbol. Each dependent symbol includes `hasTestReach` (whether any test that covers the file also references that specific symbol) | Always | | `get_task_context` | **Graph-aware
nikolai-vysotskyillms.txtnikolai-vysotskyi/trace-mcp/docs/llms.txt
/language-matrix.html): What each of the {{ site.data.counts.languages }} supported languages actually extracts — parser, edge types, and test coverage. - [Session Analytics & Coverage Intelligence](https://trace-mcp.com/analytics.html): The built-in engine that parses agent
dylanroscoverllms.txtdylanroscover/Embody/web/llms-full.txt
type directly in Claude Code to trigger common workflows. ### `/run-tests` Runs the Embody test suite via MCP and reports results. ``` /run-tests # Run all 122 test suites /run-tests test_path_utils
softsparkllms.txtsoftspark/ai-toolkit/llms-full.txt
refresh](kb/planning/model-compatibility-refresh-20260923.md) - [SOP: Ecosystem Sync](kb/procedures/sop-ecosystem-sync.md) - [SOP: AI Toolkit Maintenance](kb/procedures/sop-maintenance.md) - [SOP: Post-Release Testing](kb/procedures/sop-post-release-testing.md) - [SOP: Pre-Commit Gate](kb/procedures/sop-pre-commit.md) - [SOP: Release Verification](kb/procedures/sop-release-verification.md) - [SOP: Release Preparation](kb/procedures/sop-release.md) - [Agents
softsparkllms.txtsoftspark/ai-toolkit/llms.txt
refresh](kb/planning/model-compatibility-refresh-20260923.md) - [SOP: Ecosystem Sync](kb/procedures/sop-ecosystem-sync.md) - [SOP: AI Toolkit Maintenance](kb/procedures/sop-maintenance.md) - [SOP: Post-Release Testing](kb/procedures/sop-post-release-testing.md) - [SOP: Pre-Commit Gate](kb/procedures/sop-pre-commit.md) - [SOP: Release Verification](kb/procedures/sop-release-verification.md) - [SOP: Release Preparation](kb/procedures/sop-release.md) - [Agents
tubecreatellms.txttubecreate/tubecli/docs/llms.txt
visual builder, no managed cloud offering, no enterprise SSO or audit product. - Not battle-tested at scale. This is early software with an honest changelog. ## Optional - [Changelog and releases
selfishprimatellms.txtselfishprimate/gerillass/llms.txt
described in a machine-readable manifest whose examples and refusals are executed by the test suite, so the documentation cannot drift away from the code. Gerillass is a pure Sass
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.
