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Agent Skill · 研究检索

apify-actorization(apify 演员化)

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。

apify-actorization 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 1,066。

总安装 124,656周安装 5,256GitHub Stars 2,015下载 43,672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: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

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。

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

来源仓库内路径:skills/apify-actorization

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/apify/agent-skills --skill apify-actorization;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

apify-actorization 怎么安装?

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

apify-actorization 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。

apify-actorization 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。

apify-actorization 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。

apify-actorization 用的人多吗?

公开数据是累计安装 124,656 次,近一周安装 5,256 次,下载 43,672 次,GitHub 2,015 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。

apify-actorization 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。
  • 来源仓库有 2,015 星,维护活跃度相对可查。

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
apify-actorization

apify 演员化 · 本页

124,6562,015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

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

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

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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