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.
npx agentmods add skills/awesome-ai-dev/awesome-ai-dev/ormnpx skills add awesome-ai-dev/awesome-ai-dev --skill ormgit clone --depth 1 https://github.com/awesome-ai-dev/awesome-ai-devWrote 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/skills/awesome-ai-dev/awesome-ai-dev/orm)<a href="https://agentmods.dev/skills/awesome-ai-dev/awesome-ai-dev/orm"><img src="https://agentmods.dev/badge/skills/awesome-ai-dev/awesome-ai-dev/orm.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 | $0.00017 | $0.00411 |
| Opus 5 | $0.00009 | $0.00205 |
| Sonnet 5 | $0.00003 | $0.00082 |
| Haiku 4.5 | $0.00002 | $0.00041 |
Grade A, and why
backend-orm scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
ORM 使用
Prisma (Node.js)
// Schema
model User {
id Int @id @default(autoincrement())
email String @unique
posts Post[]
}
model Post {
id Int @id @default(autoincrement())
title String
author User @relation(fields: [authorId], references: [id])
authorId Int
}
// 查询
const users = await prisma.user.findMany({
include: { posts: true }
});
Drizzle (Node.js)
// Schema
export const users = pgTable('users', {
id: serial('id').primaryKey(),
email: varchar('email', { length: 255 }).unique(),
});
export type User = typeof users.$inferSelect;
// 查询
const result = await db.select().from(users).all();
SQLAlchemy (Python)
# Model
class User(Base):
__tablename__ = 'users'
id = Column(Integer, primary_key=True)
email = Column(String, unique=True)
posts = relationship('Post', back_populates='author')
# Query
users = session.query(User).all()
TypeORM (Node.js)
@Entity()
export class User {
@PrimaryGeneratedColumn()
id: number;
@Column({ unique: true })
email: string;
@OneToMany(() => Post, post => post.author)
posts: Post[];
}
选择指南
- Prisma: 现代、类型安全
- Drizzle: 轻量、性能好
- SQLAlchemy: Python 标准
- TypeORM: NestJS 常用
参考
.cursor/rules/nestjs.mdc
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 4d ago First seen · 87 lines · 17 tokens per session scan A 29b8fb27e9d6
backend-orm is a skill published in the GitHub repository awesome-ai-dev/awesome-ai-dev (11 stars, last pushed 5mo ago), licensed MIT. It adds 17 tokens to every session and 411 once invoked, about $0.0001 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.
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