ai-development

A set of rules for developing AI features, including form filling, long-running tasks, and connections to large language models.

In plain words
What is it for?
Use it when building AI-powered forms, tasks that take a long time to finish, or integrations with language models.
Why use it?
It provides guidance for handling common parts of applications that use AI.

Cursor rule for Cursor

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/xin-lai/codespirit/ai-development
Clone the repo
git clone --depth 1 https://github.com/xin-lai/CodeSpirit

Made for: Cursor.

Per session 4,750 This file is loaded in full into every session.
When invoked 4,750 The same file — it is already loaded in full.
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 $0.04750 $0.04750
Opus 5 $0.02375 $0.02375
Sonnet 5 $0.00950 $0.00950
Haiku 4.5 $0.00475 $0.00475

Measured yesterday against content hash 4017943b9f01, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ai-development 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 yesterday.

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.

.cursor/rules/ai-development.mdc · 639 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

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. yesterday First seen · 639 lines · 4,750 tokens per session scan A 4017943b9f01

Subscribe to this mod's changes

ai-development is a cursor rule published in the GitHub repository xin-lai/CodeSpirit (56 stars, last pushed 5mo ago), licensed AGPL-3.0. It adds 4,750 tokens to every session, about $0.0238 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 2026-08-30.