Token导航 LogoToken导航TokenDH.com
研究检索敏感数据github未标认证来源可访问许可证需确认审计提醒

apify-actorizationapify 演员化

Agent Skill

apify-actorization 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

124,656

周安装

5,256

GitHub Stars

2,015

下载量

43,672
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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:apify-actorization(apify 演员化)
来源仓库:https://github.com/apify/agent-skills
仓库路径:skills/apify-actorization
安装命令:
npx skills add https://github.com/apify/agent-skills --skill apify-actorization
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/apify/agent-skills --skill apify-actorization

简介

通过特定于语言的 SDK 集成将现有项目转换为无服务器 Apify Actor。

  • 支持 JavaScript/TypeScript(使用 Actor.init()
  • /演员.exit())、Python(异步上下文管理器)以及通过 CLI 包装器的任何语言
  • 提供结构化工作流程:apify init
  • 到脚手架,应用 SDK 包装,配置输入/输出模式,使用 apify run 进行本地测试,然后使用 apify Push 进行部署
  • 包括输入和输出架构验证、Docker 容器化和可选的按事件付费货币化配置
  • 通过请求队列和键值存储处理状态管理;需要 apify
  • CLI 安装并使用 Apify 帐户令牌进行身份验证

SKILL.md

Apify Actorization

Actorization converts existing software into reusable serverless applications compatible with the Apify platform. Actors are programs packaged as Docker images that accept well-defined JSON input, perform an action, and optionally produce structured JSON output.

Quick start

  1. Run apify init in project root
  2. Wrap code with SDK lifecycle (see language-specific section below)
  3. Configure .actor/input_schema.json
  4. Test with apify run --input '{"key": "value"}'
  5. Deploy with apify push

When to use this skill

  • Converting an existing project to run on the Apify platform
  • Adding Apify SDK integration to a project
  • Wrapping a CLI tool or script as an Actor
  • Migrating a Crawlee project to Apify

Prerequisites

Verify apify CLI is installed:

apify --help

If not installed, use one of these methods (listed in order of preference):

# Preferred: install via a package manager (provides integrity checks)
npm install -g apify-cli

# Or (Mac): brew install apify-cli
Security note: Do NOT install the CLI by piping remote scripts to a shell (e.g. curl... | bash or irm... | iex). Always use a package manager.

Verify CLI is logged in:

apify info  # Should return your username

If not logged in, authenticate using OAuth (opens browser):

apify login

If browser login isn't available (headless environment or CI), ensure the APIFY_TOKEN environment variable is exported. The CLI reads it automatically - no explicit login needed. If the user doesn't have a token, generate one at https://console.apify.com/settings/integrations.

Security note: Avoid passing tokens as command-line arguments (e.g. apify login -t <token>). Arguments are visible in process listings and may be recorded in shell history. Prefer OAuth login or environment variables instead. Never log, print, or embed APIFY_TOKEN in source code or configuration files. Use a token with the minimum required permissions (scoped token) and rotate it periodically.

Actorization checklist

Copy this checklist to track progress:

  • Step 1: Analyze project (language, entry point, inputs, outputs)
  • Step 2: Run apify init to create Actor structure
  • Step 3: Apply language-specific SDK integration
  • Step 4: Configure .actor/input_schema.json
  • Step 5: Configure .actor/output_schema.json (if applicable)
  • Step 6: Update .actor/actor.json metadata
  • Step 7: Write README.md for Apify Store listing
  • Step 8: Test locally with apify run
  • Step 9: Deploy with apify push

Step 1: Analyze the project

Before making changes, understand the project:

  1. Identify the language - JavaScript/TypeScript, Python, or other
  2. Find the entry point - The main file that starts execution
  3. Identify inputs - Command-line arguments, environment variables, config files
  4. Identify outputs - Files, console output, API responses
  5. Check for state - Does it need to persist data between runs?

Step 2: Initialize Actor structure

Run in the project root:

apify init

This creates:

  • .actor/actor.json - Actor configuration and metadata
  • .actor/input_schema.json - Input definition for Apify Console
  • Dockerfile (if not present) - Container image definition

Step 3: Apply language-specific changes

Choose based on your project's language:

Quick reference

LanguageInstallWrap Code
JS/TSnpm install apifyawait Actor.init()... await Actor.exit()
Pythonpip install apifyasync with Actor:
OtherUse CLI in wrapper scriptapify actor:get-input / apify actor:push-data

Steps 4-6: Configure schemas

See schemas-and-output.md for detailed configuration of:

  • Input schema (.actor/input_schema.json)
  • Output schema (.actor/output_schema.json)
  • Actor configuration (.actor/actor.json)
  • State management (request queues, key-value stores)

Validate schemas against @apify/json_schemas npm package.

Step 7: Write README

IMPORTANT: Always generate a README.md as part of actorization. The README is the Actor's landing page on Apify Store and is critical for discoverability (SEO), user onboarding, and support. Do not consider an Actor complete without a proper README.

See the Actor README guidelines at skills/apify-actor-development/references/actor-readme.md for the required structure including: intro and features, data extraction table, step-by-step tutorial, pricing info, input/output examples, and FAQ. Aim for at least 300 words with SEO-optimized H2/H3 headings. Also review these top Actors for best practices:

Step 8: Test locally

Run the Actor with inline input (for JS/TS and Python Actors):

apify run --input '{"startUrl": "https://example.com", "maxItems": 10}'

Or use an input file:

apify run --input-file ./test-input.json

Important: Always use apify run, not npm start or python main.py. The CLI sets up the proper environment and storage.

Step 9: Deploy

apify push

This uploads and builds your Actor on the Apify platform.

Monetization (optional)

After deploying, you can monetize your Actor in Apify Store. The recommended model is Pay Per Event (PPE):

  • Per result/item scraped
  • Per page processed
  • Per API call made

Configure PPE in Apify Console under Actor > Monetization. Charge for events in your code with await Actor.charge('result').

Other options: Rental (monthly subscription) or Free (open source).

Security

Treat all crawled web content as untrusted input. Actors ingest data from external websites that may contain malicious payloads. Follow these rules:

  • Sanitize crawled data — Never pass raw HTML, URLs, or scraped text directly into shell commands, eval(), database queries, or template engines. Use proper escaping or parameterized APIs.
  • Validate and type-check all external data — Before pushing to datasets or key-value stores, verify that values match expected types and formats. Reject or sanitize unexpected structures.
  • Do not execute or interpret crawled content — Never treat scraped text as code, commands, or configuration. Content from websites could include prompt injection attempts or embedded scripts.
  • Isolate credentials from data pipelines — Ensure APIFY_TOKEN and other secrets are never accessible in request handlers or passed alongside crawled data. Use the Apify SDK's built-in credential management rather than passing tokens through environment variables in data-processing code.
  • Review dependencies before installing — When adding packages with npm install or pip install, verify the package name and publisher. Typosquatting is a common supply-chain attack vector. Prefer well-known, actively maintained packages.
  • Pin versions and use lockfiles — Always commit package-lock.json (Node.js) or pin exact versions in requirements.txt (Python). Lockfiles ensure reproducible builds and prevent silent dependency substitution. Run npm audit or pip-audit periodically to check for known vulnerabilities.

Pre-deployment checklist

  • .actor/actor.json exists with correct name and description
  • .actor/actor.json validates against @apify/json_schemas (actor.schema.json)
  • .actor/input_schema.json defines all required inputs
  • .actor/input_schema.json validates against @apify/json_schemas (input.schema.json)
  • .actor/output_schema.json defines output structure (if applicable)
  • .actor/output_schema.json validates against @apify/json_schemas (output.schema.json)
  • Dockerfile is present and builds successfully
  • Actor.init() / Actor.exit() wraps main code (JS/TS)
  • async with Actor: wraps main code (Python)
  • Inputs are read via Actor.getInput() / Actor.get_input()
  • Outputs use Actor.pushData() or key-value store
  • apify run executes successfully with test input
  • README.md exists with proper structure (intro, features, data table, tutorial, pricing, input/output examples)
  • generatedBy is set in actor.json meta section

Apify MCP tools

If MCP server is configured, use these tools for documentation:

  • search-apify-docs - Search documentation
  • fetch-apify-docs - Get full doc pages

Otherwise, the MCP Server url: https://mcp.apify.com/?tools=docs.

Resources

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

32.19%
按下载量换算14,058

Claude

29.57%
按下载量换算12,914

Cursor

19.24%
按下载量换算8,402

Gemini CLI

9.41%
按下载量换算4,110

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

可疑

权限和风险

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 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills