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 skills add bobmatnyc/claude-mpm-skills --skill sqlalchemygit clone --depth 1 https://github.com/bobmatnyc/claude-mpm-skillsWrote 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/bobmatnyc/claude-mpm-skills/sqlalchemy)<a href="https://agentmods.dev/skills/bobmatnyc/claude-mpm-skills/sqlalchemy"><img src="https://agentmods.dev/badge/skills/bobmatnyc/claude-mpm-skills/sqlalchemy/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/bobmatnyc/claude-mpm-skills/sqlalchemy"><img src="https://agentmods.dev/badge/skills/bobmatnyc/claude-mpm-skills/sqlalchemy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00025 | $0.06425 |
| Opus 5 | $0.00013 | $0.03213 |
| Sonnet 5 | $0.00005 | $0.01285 |
| Haiku 4.5 | $0.00003 | $0.00643 |
Grade A, and why
sqlalchemy 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 9d 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 — 1,021 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SQLAlchemy ORM Skill
progressive_disclosure: entry_point: summary: "Python SQL toolkit and ORM with powerful query builder and relationship mapping" when_to_use: - "When building Python applications with databases" - "When needing complex SQL queries with type safety" - "When working with FastAPI/Flask/Django" - "When needing database migrations (Alembic)" quick_start: - "pip install sqlalchemy" - "Define models with declarative base" - "Create engine and session" - "Query with select() and commit()" token_estimate: entry: 70-85 full: 4500-5500
Core Concepts
SQLAlchemy 2.0 Modern API
SQLAlchemy 2.0 introduced modern patterns with better type hints, improved query syntax, and async support.
Key Changes from 1.x:
select()instead ofQueryMapped[T]andmapped_column()for type hints- Explicit
Session.execute()for queries - Better async support with
AsyncSession
Installation
# Core SQLAlchemy
pip install sqlalchemy
# With async support
pip install sqlalchemy[asyncio] aiosqlite # SQLite
pip install sqlalchemy[asyncio] asyncpg # PostgreSQL
# With Alembic for migrations
pip install alembic
# FastAPI integration
pip install fastapi sqlalchemy
Declarative Models (SQLAlchemy 2.0)
Basic Model Definition
from datetime import datetime
from typing import Optional
from sqlalchemy import String, DateTime, ForeignKey, func
from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column, relationship
# Base class for all models
class Base(DeclarativeBase):
pass
# User model with type hints
class User(Base):
__tablename__ = "users"
# Primary key
id: Mapped[int] = mapped_column(primary_key=True)
# Required fields
email: Mapped[str] = mapped_column(String(255), unique=True, index=True)
username: Mapped[str] = mapped_column(String(50), unique=True)
hashed_password: Mapped[str] = mapped_column(String(255))
# Optional fields
full_name: Mapped[Optional[str]] = mapped_column(String(100))
is_active: Mapped[bool] = mapped_column(default=True)
# Timestamps with server defaults
created_at: Mapped[datetime] = mapped_column(
DateTime(timezone=True),
server_default=func.now()
)
updated_at: Mapped[datetime] = mapped_column(
DateTime(timezone=True),
server_default=func.now(),
onupdate=func.now()
)
# Relationships
posts: Mapped[list["Post"]] = relationship(back_populates="author")
def __repr__(self) -> str:
return f"User(id={self.id}, email={self.email})"
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.
- 9d ago First seen · 1,021 lines · 25 tokens per session scan A 4ce69ba775e5
sqlalchemy is a skill published in the GitHub repository bobmatnyc/claude-mpm-skills (75 stars, last pushed 1mo ago), licensed MIT. It adds 25 tokens to every session and 6,425 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 2026-09-03.
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