langgraph-best-practices

langgraph-best-practices is a cursor rule for Cursor from Aurite-ai/kahuna. It costs 0 tokens per session (2,022 once invoked), scanned A, original, no licence file.

A reference guide for building LangGraph workflows, which connect AI-agent steps in a graph of actions and shared data.

In plain words
What is it for?
Use it when developing LangGraph agent workflows, especially when you need graph construction, state management, or production code guidance.
Why use it?
It provides patterns and examples for organising workflows and managing their state, including more advanced routing options.

Cursor rule for Cursor

Written for Cursor: a Cursor rule (.mdc).

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add rules/aurite-ai/kahuna/langgraph-best-practices
Clone the repo
git clone --depth 1 https://github.com/Aurite-ai/kahuna

Made for: Cursor.

Wrote 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.

agentmods badge for langgraph-best-practices

README.md
[![agentmods](https://agentmods.dev/badge/rules/aurite-ai/kahuna/langgraph-best-practices.svg)](https://agentmods.dev/rules/aurite-ai/kahuna/langgraph-best-practices)
Your own site
<a href="https://agentmods.dev/rules/aurite-ai/kahuna/langgraph-best-practices"><img src="https://agentmods.dev/badge/rules/aurite-ai/kahuna/langgraph-best-practices.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Nothing until a file matches its globs; then the whole rule loads.
When invoked 2,022 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.02022
Opus 5 $0.00000 $0.01011
Sonnet 5 $0.00000 $0.00404
Haiku 4.5 $0.00000 $0.00202

Measured 5d ago against content hash 884cc4abc31c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

langgraph-best-practices 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 5d 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.

apps/mcp/templates/knowledge-base/langgraph-best-practices.mdc · 278 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Changes

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.

  1. 5d ago First seen · 278 lines · 0 tokens per session scan A 884cc4abc31c

Subscribe to this mod's changes

langgraph-best-practices is a cursor rule published in the GitHub repository Aurite-ai/kahuna (8 stars, last pushed 4mo ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 2,022 tokens. 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 2026-08-31.

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