apify-actorization

apify-actorization is a skill for Claude Code from DorianGallo/antigravity-awesome-skills-local. It costs 48 tokens per session (1,659 once invoked), scanned A, a copy of apify-actorization, MIT.

A process for turning existing software, scripts, or command-line tools into reusable Apify Actors—isolated cloud programs with defined inputs and optional structured outputs.

In plain words
What is it for?
It is for adding Apify SDK support, wrapping scripts or command-line tools, migrating Crawlee projects, configuring inputs, testing, and deploying.
Why use it?
It helps package software for repeatable runs on Apify instead of keeping it as a locally run project.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the antigravity-awesome-skills plugin — 197 skills shipped together

Good fit It is for adding Apify SDK support, wrapping scripts or command-line tools, migrating Crawlee projects, configuring inputs, testing, and deploying.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/doriangallo/antigravity-awesome-skills-local/apify-actorization
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.

Any agent
npx skills add DorianGallo/antigravity-awesome-skills-local --skill apify-actorization
Clone the repo
git clone --depth 1 https://github.com/DorianGallo/antigravity-awesome-skills-local

Made for: Claude Code.

Or install antigravity-awesome-skills, the plugin that ships this one along with the rest of its 197 skills.

Wrote 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.

agentmods badge for apify-actorization

README.md
[![agentmods](https://agentmods.dev/badge/skills/doriangallo/antigravity-awesome-skills-local/apify-actorization/github.svg)](https://agentmods.dev/skills/doriangallo/antigravity-awesome-skills-local/apify-actorization)
Your own site
<a href="https://agentmods.dev/skills/doriangallo/antigravity-awesome-skills-local/apify-actorization"><img src="https://agentmods.dev/badge/skills/doriangallo/antigravity-awesome-skills-local/apify-actorization/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.

agentmods 80×15 button for apify-actorization

Your own site · 80×15
<a href="https://agentmods.dev/skills/doriangallo/antigravity-awesome-skills-local/apify-actorization"><img src="https://agentmods.dev/badge/skills/doriangallo/antigravity-awesome-skills-local/apify-actorization.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,659 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 98% 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 5.1 $0.00048 $0.01659
Opus 5 $0.00024 $0.00830
Sonnet 5 $0.00010 $0.00332
Haiku 4.5 $0.00005 $0.00166

Measured 7d ago against content hash 61c3a329c9cc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

apify-actorization 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 7d 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.

Origin

This is a copy

98% identical to apify-actorization — 3 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.

plugins/antigravity-awesome-skills-claude/skills/apify-actorization/SKILL.md · 191 lines

How it starts

The opening of the file, as written. The whole thing — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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 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:

brew install apify-cli

# Or: npm install -g apify-cli
# Or install from an official release package that your OS package manager verifies

Verify CLI is logged in:

apify info  # Should return your username

If not logged in, check if APIFY_TOKEN environment variable is defined. If not, ask the user to generate one at https://console.apify.com/settings/integrations, add it to their shell or secret manager without putting the literal token in command history, then run:

apify login

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: Test locally with apify run
  • Step 8: 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?

Read the full file on GitHub · 191 lines

Files

What ships with it

4 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.

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. 7d ago First seen · 191 lines · 48 tokens per session scan A 61c3a329c9cc

Subscribe to this mod's changes

apify-actorization is a skill published in the GitHub repository DorianGallo/antigravity-awesome-skills-local (2 stars, last pushed yesterday), licensed MIT. It adds 48 tokens to every session and 1,659 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to apify-actorization, differing in 3 lines, and is treated as a copy.

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