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Agent Skill · 研究检索

appwrite-python(appwrite Python 搜索)

用于辅助 Python 项目开发、测试、依赖管理和常见框架工作流。它适合让 Agent 阅读 Python 代码、定位测试问题、整理运行命令、生成脚本或分析数据处理逻辑。使用时需要确认项目虚拟环境、依赖版本和测试入口;涉及执行脚本、读写文件、访问数据库或调用外部 API 时,应先明确运行目录和输入输出范围,避免误改生产数据。

appwrite-python 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 18,519。

总安装 6,045周安装 257GitHub Stars 18下载 2,118核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:appwrite-python(appwrite Python 搜索)
来源仓库:https://github.com/appwrite/agent-skills
仓库路径:skills/appwrite-python
安装命令:
npx skills add https://github.com/appwrite/agent-skills --skill appwrite-python
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/appwrite/agent-skills --skill appwrite-python

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于查找、检索和筛选 Appwrite Python SDK 相关信息,适合在开发中快速定位用法和配置。适用于 Python 项目,支持用户管理、数据库、存储等服务的客户端调用。通过 pip 安装 SDK,参考官方文档完成客户端设置和常见功能示例。

安装前需确认虚拟环境、依赖版本及 API 密钥权限,避免触发网络请求或文件读写。appwrite-python 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/appwrite-python

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/appwrite/agent-skills --skill appwrite-python;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

appwrite-python 怎么安装?

在终端执行 npx skills add https://github.com/appwrite/agent-skills --skill appwrite-python。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

appwrite-python 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

appwrite-python 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

appwrite-python 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

appwrite-python 用的人多吗?

公开数据是累计安装 6,045 次,近一周安装 257 次,下载 2,118 次,GitHub 18 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

appwrite-python 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
appwrite-python

appwrite Python 搜索 · 本页

6,04518接触敏感数据未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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(), 'user@example.com', 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]')
String Column Types
Note: The legacy string type is deprecated. Use explicit column types for all new columns.
TypeMax charactersIndexingStorage
varchar16,383Full index (if size ≤ 768)Inline in row
text16,383Prefix onlyOff-page
mediumtext4,194,303Prefix onlyOff-page
longtext1,073,741,823Prefix onlyOff-page
  • varchar is stored inline and counts towards the 64 KB row size limit. Prefer for short, indexed fields like names, slugs, or identifiers.
  • text, mediumtext, and longtext are stored off-page (only a 20-byte pointer lives in the row), so they don't consume the row size budget. size is not required for these types.
# Create table with explicit string column types
tables_db.create_table(
    database_id='[DATABASE_ID]',
    table_id=ID.unique(),
    name='articles',
    columns=[
        {'key': 'title',    'type': 'varchar',    'size': 255, 'required': True},   # inline, fully indexable
        {'key': 'summary',  'type': 'text',                    'required': False},  # off-page, prefix index only
        {'key': 'body',     'type': 'mediumtext',              'required': False},  # up to ~4 M chars
        {'key': 'raw_data', 'type': 'longtext',                'required': False},  # up to ~1 B chars
    ]
)

Query Methods

# Filtering
Query.equal('field', 'value')             # == (or pass list for IN)
Query.not_equal('field', 'value')         # !=
Query.less_than('field', 100)             # <
Query.less_than_equal('field', 100)       # <=
Query.greater_than('field', 100)          # >
Query.greater_than_equal('field', 100)    # >=
Query.between('field', 1, 100)            # 1 <= field <= 100
Query.is_null('field')                    # is null
Query.is_not_null('field')                # is not null
Query.starts_with('field', 'prefix')      # starts with
Query.ends_with('field', 'suffix')        # ends with
Query.contains('field', 'sub')            # contains (string or array)
Query.search('field', 'keywords')         # full-text search (requires index)

# Sorting
Query.order_asc('field')
Query.order_desc('field')

# Pagination
Query.limit(25)                           # max rows (default 25, max 100)
Query.offset(0)                           # skip N rows
Query.cursor_after('[ROW_ID]')            # cursor pagination (preferred)
Query.cursor_before('[ROW_ID]')

# Selection & Logic
Query.select(['field1', 'field2'])        # return only specified fields
Query.or_queries([Query.equal('a', 1), Query.equal('b', 2)])   # OR
Query.and_queries([Query.greater_than('age', 18), Query.less_than('age', 65)])  # AND (default)

File Storage

from appwrite.input_file import InputFile

storage = Storage(client)

# Upload file
file = storage.create_file('[BUCKET_ID]', ID.unique(), InputFile.from_path('/path/to/file.png'))

# List files
files = storage.list_files('[BUCKET_ID]')

# Delete file
storage.delete_file('[BUCKET_ID]', '[FILE_ID]')
InputFile Factory Methods
from appwrite.input_file import InputFile

InputFile.from_path('/path/to/file.png')             # from filesystem path
InputFile.from_bytes(byte_data, 'file.png')          # from bytes
InputFile.from_string('Hello world', 'hello.txt')    # from string content

Teams

from appwrite.services.teams import Teams

teams = Teams(client)

# Create team
team = teams.create(ID.unique(), 'Engineering')

# List teams
team_list = teams.list()

# Create membership (invite user by email)
membership = teams.create_membership('[TEAM_ID]', roles=['editor'], email='user@example.com')

# List memberships
members = teams.list_memberships('[TEAM_ID]')

# Update membership roles
teams.update_membership('[TEAM_ID]', '[MEMBERSHIP_ID]', roles=['admin'])

# Delete team
teams.delete('[TEAM_ID]')
Role-based access: Use Role.team('[TEAM_ID]') for all team members or Role.team('[TEAM_ID]', 'editor') for a specific team role when setting permissions.

Serverless Functions

functions = Functions(client)

# Execute function
execution = functions.create_execution('[FUNCTION_ID]', body='{"key": "value"}')

# List executions
executions = functions.list_executions('[FUNCTION_ID]')
Writing a Function Handler (Python runtime)
# src/main.py — Appwrite Function entry point
def main(context):
    # context.req — request object
    #   .body        — raw request body (string)
    #   .body_json   — parsed JSON body (dict, or None if not JSON)
    #   .headers     — request headers (dict)
    #   .method      — HTTP method (GET, POST, etc.)
    #   .path        — URL path
    #   .query       — parsed query parameters (dict)
    #   .query_string — raw query string

    context.log('Processing: ' + context.req.method + ' ' + context.req.path)

    if context.req.method == 'GET':
        return context.res.json({'message': 'Hello from Appwrite Function!'})

    data = context.req.body_json or {}
    if 'name' not in data:
        context.error('Missing name field')
        return context.res.json({'error': 'Name is required'}, 400)

    # Response methods
    return context.res.json({'success': True})                    # JSON response
    # return context.res.text('Hello')                           # plain text
    # return context.res.empty()                                 # 204 No Content
    # return context.res.redirect('https://example.com')         # 302 Redirect
    # return context.res.send('data', 200, {'X-Custom': '1'})   # custom response

Server-Side Rendering (SSR) Authentication

SSR apps (Flask, Django, FastAPI, etc.) use the server SDK to handle auth. You need two clients:

  • Admin client — uses an API key, creates sessions, bypasses rate limits (reusable singleton)
  • Session client — uses a session cookie, acts on behalf of a user (create per-request, never share)
from appwrite.client import Client
from appwrite.services.account import Account
from flask import request, jsonify, make_response, redirect

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

# Session client (create per-request)
session_client = (Client()
    .set_endpoint('https://<REGION>.cloud.appwrite.io/v1')
    .set_project('[PROJECT_ID]'))

session = request.cookies.get('a_session_[PROJECT_ID]')
if session:
    session_client.set_session(session)
Email/Password Login
@app.post('/login')
def login():
    account = Account(admin_client)
    session = account.create_email_password_session(
        request.json['email'], request.json['password']
    )

    # Cookie name must be a_session_<PROJECT_ID>
    resp = make_response(jsonify({'success': True}))
    resp.set_cookie('a_session_[PROJECT_ID]', session['secret'],
                    httponly=True, secure=True, samesite='Strict',
                    expires=session['expire'], path='/')
    return resp
Authenticated Requests
@app.get('/user')
def get_user():
    session = request.cookies.get('a_session_[PROJECT_ID]')
    if not session:
        return jsonify({'error': 'Unauthorized'}), 401

    session_client = (Client()
        .set_endpoint('https://<REGION>.cloud.appwrite.io/v1')
        .set_project('[PROJECT_ID]')
        .set_session(session))

    account = Account(session_client)
    return jsonify(account.get())
OAuth2 SSR Flow
# Step 1: Redirect to OAuth provider
@app.get('/oauth')
def oauth():
    account = Account(admin_client)
    redirect_url = account.create_o_auth2_token(
        OAuthProvider.Github,
        'https://example.com/oauth/success',
        'https://example.com/oauth/failure',
    )
    return redirect(redirect_url)

# Step 2: Handle callback — exchange token for session
@app.get('/oauth/success')
def oauth_success():
    account = Account(admin_client)
    session = account.create_session(request.args['userId'], request.args['secret'])

    resp = make_response(jsonify({'success': True}))
    resp.set_cookie('a_session_[PROJECT_ID]', session['secret'],
                    httponly=True, secure=True, samesite='Strict',
                    expires=session['expire'], path='/')
    return resp
Cookie security: Always use httponly, secure, and samesite='Strict' to prevent XSS. The cookie name must be a_session_<PROJECT_ID>.
Forwarding user agent: Call session_client.set_forwarded_user_agent(request.headers.get('user-agent')) to record the end-user's browser info for debugging and security.

Error Handling

from appwrite.exception import AppwriteException

try:
    row = tables_db.get_row('[DATABASE_ID]', '[TABLE_ID]', '[ROW_ID]')
except AppwriteException as e:
    print(e.message)    # human-readable error message
    print(e.code)       # HTTP status code (int)
    print(e.type)       # Appwrite error type string (e.g. 'document_not_found')
    print(e.response)   # full response body (dict)

Common error codes:

CodeMeaning
401Unauthorized — missing or invalid session/API key
403Forbidden — insufficient permissions for this action
404Not found — resource does not exist
409Conflict — duplicate ID or unique constraint violation
429Rate limited — too many requests, retry after backoff

Permissions & Roles (Critical)

Appwrite uses permission strings to control access to resources. Each permission pairs an action (read, update, delete, create, or write which grants create + update + delete) with a role target. By default, no user has access unless permissions are explicitly set at the document/file level or inherited from the collection/bucket settings. Permissions are arrays of strings built with the Permission and Role helpers.

from appwrite.permission import Permission
from appwrite.role import Role

Database Row with Permissions

doc = tables_db.create_row('[DATABASE_ID]', '[TABLE_ID]', ID.unique(), {
    'title': 'Hello World'
}, [
    Permission.read(Role.user('[USER_ID]')),     # specific user can read
    Permission.update(Role.user('[USER_ID]')),   # specific user can update
    Permission.read(Role.team('[TEAM_ID]')),     # all team members can read
    Permission.read(Role.any()),                 # anyone (including guests) can read
])

File Upload with Permissions

file = storage.create_file('[BUCKET_ID]', ID.unique(), InputFile.from_path('/path/to/file.png'), [
    Permission.read(Role.any()),
    Permission.update(Role.user('[USER_ID]')),
    Permission.delete(Role.user('[USER_ID]')),
])
When to set permissions: Set document/file-level permissions when you need per-resource access control. If all documents in a collection share the same rules, configure permissions at the collection/bucket level and leave document permissions empty.
Common mistakes: - Forgetting permissions — the resource becomes inaccessible to all users (including the creator) - Role.any() with write/update/delete — allows any user, including unauthenticated guests, to modify or remove the resource - Permission.read(Role.any()) on sensitive data — makes the resource publicly readable

平台分布

Codex

38.34%
按下载量换算812

Claude

29.71%
按下载量换算629

Cursor

19.29%
按下载量换算409

Gemini CLI

10.28%
按下载量换算218

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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