django-models

django-models is a cursor rule for coding agents from holtwood/awesome-cursorrules-zh. It costs 78 tokens per session, scanned A, original, MIT.

A small set of rules for Django models, the Python framework's definitions of database-backed data. It also guides how Django code should access and validate that data.

In plain words
What is it for?
Use it when defining models, writing database queries, placing business logic, or adding validation in a Django application.
Why use it?
It keeps database work in the appropriate Django layers and avoids raw SQL when the framework's database interface is sufficient.

Cursor rule

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/holtwood/awesome-cursorrules-zh/django-models
Clone the repo
git clone --depth 1 https://github.com/holtwood/awesome-cursorrules-zh

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 django-models

README.md
[![agentmods](https://agentmods.dev/badge/rules/holtwood/awesome-cursorrules-zh/django-models.svg)](https://agentmods.dev/rules/holtwood/awesome-cursorrules-zh/django-models)
Your own site
<a href="https://agentmods.dev/rules/holtwood/awesome-cursorrules-zh/django-models"><img src="https://agentmods.dev/badge/rules/holtwood/awesome-cursorrules-zh/django-models.svg" alt="Measured on agentmods" height="20"></a>
Per session 78 This file is loaded in full into every session.
When invoked 78 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original 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 $0.00078 $0.00078
Opus 5 $0.00039 $0.00039
Sonnet 5 $0.00016 $0.00016
Haiku 4.5 $0.00008 $0.00008

Measured 5d ago against content hash 208d5301f62c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

django-models 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.

docs/rules/backend/python/django-best-practices/django-models.mdc · 7 lines

What it actually says

  • 利用 Django 的 ORM 进行数据库交互;除非为了性能,否则避免使用原始 SQL 查询。
  • 将业务逻辑保留在模型和表单中;保持视图轻量,专注于请求处理。
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 · 7 lines · 78 tokens per session scan A 208d5301f62c

Subscribe to this mod's changes

django-models is a cursor rule published in the GitHub repository holtwood/awesome-cursorrules-zh (232 stars, last pushed 1mo ago), licensed MIT. It adds 78 tokens to every session, about $0.0004 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.