Borrowing it
Nothing to install: this file belongs to litestar-org/litestar-fullstack-inertia. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/litestar-org/litestar-fullstack-inertia/main/AGENTS.mdgit clone --depth 1 https://github.com/litestar-org/litestar-fullstack-inertiaWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/litestar-org/litestar-fullstack-inertia/agents-md)<a href="https://agentmods.dev/instructions/litestar-org/litestar-fullstack-inertia/agents-md"><img src="https://agentmods.dev/badge/instructions/litestar-org/litestar-fullstack-inertia/agents-md.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01911 | $0.01911 |
| Opus 5 | $0.00955 | $0.00955 |
| Sonnet 5 | $0.00382 | $0.00382 |
| Haiku 4.5 | $0.00191 | $0.00191 |
Grade A, and why
litestar-fullstack-inertia AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 298 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Agent Guidelines for Litestar Fullstack Inertia
Version: 2.1 (Intelligent Edition) | Updated: 2025-12-16
A modern Litestar fullstack application built with Inertia.js, React 19, and shadcn/ui providing a seamless SPA experience.
Intelligence Layer
This project uses an intelligent agent system that:
- Learns from codebase before making changes
- Adapts workflow depth based on feature complexity
- Accumulates knowledge in pattern library
- Selects tools based on task requirements
Pattern Library
Reusable patterns in specs/guides/patterns/:
- Consult before implementing similar features
- Add new patterns during review phase
Complexity-Based Checkpoints
| Complexity | Checkpoints | Triggers |
|---|---|---|
| Simple | 6 | CRUD, config change, single file |
| Medium | 8 | New service, API endpoint, 2-3 files |
| Complex | 10+ | Architecture change, new domain module |
Quick Reference
Technology Stack
| Backend | Frontend |
|---|---|
| Litestar 2.8+ | React 19 |
| SQLAlchemy 2.0 | Inertia.js |
| advanced-alchemy | shadcn/ui |
| litestar-granian | Tailwind CSS |
| pytest | Vite |
| Biome |
Essential Commands
make install # Install all dependencies
make test # Run pytest test suite
make lint # Run all linting (pre-commit + type-check + slotscheck)
make pre-commit # Run pre-commit hooks (ruff, codespell)
make type-check # Run mypy and pyright
make coverage # Run tests with coverage
make start-infra # Start Docker containers (PostgreSQL, Redis)
make stop-infra # Stop Docker containers
# Frontend (use bun, not npm)
bun run dev # Start Vite dev server
bun run build # Build production assets
npx biome check resources/ # Lint frontend
# Type Generation
uv run app assets generate-types # Generate TypeScript types from OpenAPI schema
# Database
uv run app database upgrade # Apply migrations
uv run app database make-migrations # Create migration
# Run application
uv run app run # Start server with Granian
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago First seen · 298 lines · 1,911 tokens per session scan A dc4073e809a2
litestar-fullstack-inertia AGENTS.md is an instructions file published in the GitHub repository litestar-org/litestar-fullstack-inertia (43 stars, last pushed 6d ago), licensed MIT. It adds 1,911 tokens to every session, about $0.0096 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.