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.
npx agentmods add skills/apify/apify-cursor-plugin/apify-actorizationnpx skills add apify/apify-cursor-plugin --skill apify-actorizationgit clone --depth 1 https://github.com/apify/apify-cursor-pluginWhat 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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00069 | $0.02296 |
| Opus 5 | $0.00034 | $0.01148 |
| Sonnet 5 | $0.00014 | $0.00459 |
| Haiku 4.5 | $0.00007 | $0.00230 |
Grade C, and why
apify-actorization scanned grade C with 2 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
> (e.g. `curl ... | bash` or `irm ... | iex`). Always use a package manager. Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
> (e.g. `curl ... | bash` or `irm ... | iex`). Always use a package manager. Copies of this mod
1 near-identical copy found in the catalogue:
- apify-actorization — 100% identical, 7 lines differ
How it starts
The opening of the file, as written. The whole thing — 216 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
- Run
apify initin project root - Wrap code with SDK lifecycle (see language-specific section below)
- Configure
.actor/input_schema.json - Test with
apify run --input '{"key": "value"}' - 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, 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 ... | bashorirm ... | iex). Always use a package manager.
Verify CLI is logged in:
# Auth check — do NOT pipe to /dev/null, you need to see errors
apify info 2>&1
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 embedAPIFY_TOKENin source code or configuration 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.
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.
- yesterday First seen · 216 lines · 69 tokens per session scan C 787275967d92
apify-actorization is a skill published in the GitHub repository apify/apify-cursor-plugin (3 stars, last pushed 7d ago), licensed Apache-2.0. It adds 69 tokens to every session and 2,296 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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