appwrite-python

A guide for using Appwrite’s Python software library in server-side Python apps, including Django, Flask, and FastAPI projects. Appwrite is a backend service that provides user accounts, data storage, files, and server functions.

In plain words
What is it for?
Use it to manage users, create and query database tables, store files, and call Appwrite functions from Python using API keys.
Why use it?
It provides Python setup and code patterns for connecting web applications to Appwrite instead of working out each API request yourself.

Skill for Claude CodeCodex

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 skills/appwrite/cursor-plugin/appwrite-python
Any agent
npx skills add appwrite/cursor-plugin --skill appwrite-python
Clone the repo
git clone --depth 1 https://github.com/appwrite/cursor-plugin

Made for: Claude Code, Codex.

Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,271 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 83% copy Near-identical to another mod 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 $0.00048 $0.03271
Opus 5 $0.00024 $0.01636
Sonnet 5 $0.00010 $0.00654
Haiku 4.5 $0.00005 $0.00327

Measured yesterday against content hash 377cfbcbcf50, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

appwrite-python 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.

Origin

This is a copy

83% identical to appwrite-dotnet — 500 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/appwrite-python/SKILL.md · 410 lines

How it starts

The opening of the file, as written. The whole thing — 410 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Appwrite Python SDK

Installation

pip install appwrite

Setting Up the Client

from appwrite.client import Client
from appwrite.id import ID
from appwrite.query import Query
from appwrite.services.users import Users
from appwrite.services.tables_db import TablesDB
from appwrite.services.storage import Storage
from appwrite.services.functions import Functions
from appwrite.enums.o_auth_provider import OAuthProvider

import os

client = (Client()
    .set_endpoint('https://<REGION>.cloud.appwrite.io/v1')
    .set_project(os.environ['APPWRITE_PROJECT_ID'])
    .set_key(os.environ['APPWRITE_API_KEY']))

Code Examples

User Management

users = Users(client)

# Create user
user = users.create(ID.unique(), '[email protected]', None, 'password123', 'User Name')

# List users
result = users.list([Query.limit(25)])

# Get user
fetched = users.get('[USER_ID]')

# Delete user
users.delete('[USER_ID]')

Database Operations

Note: Use TablesDB (not the deprecated Databases class) for all new code. Only use Databases if the existing codebase already relies on it or the user explicitly requests it.

Tip: Prefer keyword arguments (e.g., database_id='...') over positional arguments for all SDK method calls. Only use positional style if the existing codebase already uses it or the user explicitly requests it.

tables_db = TablesDB(client)

# Create database
db = tables_db.create(ID.unique(), 'My Database')

# Create row
doc = tables_db.create_row('[DATABASE_ID]', '[TABLE_ID]', ID.unique(), {
    'title': 'Hello World'
})

# Query rows
results = tables_db.list_rows('[DATABASE_ID]', '[TABLE_ID]', [
    Query.equal('title', 'Hello World'),
    Query.limit(10)
])

# Get row
row = tables_db.get_row('[DATABASE_ID]', '[TABLE_ID]', '[ROW_ID]')

# Update row
tables_db.update_row('[DATABASE_ID]', '[TABLE_ID]', '[ROW_ID]', {
    'title': 'Updated'
})

# Delete row
tables_db.delete_row('[DATABASE_ID]', '[TABLE_ID]', '[ROW_ID]')

Read the full file on GitHub · 410 lines

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 · 410 lines · 48 tokens per session scan A 377cfbcbcf50

Subscribe to this mod's changes

appwrite-python is a skill published in the GitHub repository appwrite/cursor-plugin (9 stars, last pushed 1mo ago), licensed BSD-3-Clause. It adds 48 tokens to every session and 3,271 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 83% identical to appwrite-dotnet, differing in 500 lines, and is treated as a copy.

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