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 skills add apify/apify-cursor-plugin --skill apify-actorizationgit clone --depth 1 https://github.com/apify/apify-cursor-pluginWrote 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.
[](https://agentmods.dev/skills/apify/apify-cursor-plugin/apify-actorization)<a href="https://agentmods.dev/skills/apify/apify-cursor-plugin/apify-actorization"><img src="https://agentmods.dev/badge/skills/apify/apify-cursor-plugin/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.
<a href="https://agentmods.dev/skills/apify/apify-cursor-plugin/apify-actorization"><img src="https://agentmods.dev/badge/skills/apify/apify-cursor-plugin/apify-actorization.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00069 | $0.02788 |
| Opus 5.5 | $0.00028 | $0.01115 |
| Sonnet 5.5 | $0.00014 | $0.00558 |
| Haiku 4.5 | $0.00007 | $0.00279 |
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 8d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- apify-actorization — 100% identical, 13 lines differ
- apify-actorization — 89% identical, 116 lines differ
How it starts
The opening of the file, as written. The whole thing — 234 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 init <actor-name>in the project root. Never run bareapify initorapify init --yeswithout<actor-name>. - 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
Rule: pass --user-agent apify-cursor-plugin/apify-actorization only on actor run commands (apify run). Do not add it to login, info, init, push, or other CLI commands.
Verify apify CLI is installed and new enough for the user-agent flag:
apify --help
apify --version # The flag needs Apify CLI 1.5.0 or newer
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 a remote script into a shell. 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.
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.
- 8d ago Changed · -8 lines 393d68c35d66
- 15d ago Changed · +23 lines scan C → A 9d324542f645
- 1mo ago Changed · +3 lines 637ad6795e51
- 1mo ago 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 (8 stars, last pushed 4d ago), licensed Apache-2.0. It adds 69 tokens to every session and 2,788 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
gke-compute-classes
Configures, optimizes, and troubleshoots GKE ComputeClasses. Use when configuring Spot VMs with on-demand fallback, targeting specific accelerators (GPUs/TPUs) or machine families, restricting ComputeClass access, or debugging pending pods related to node pool auto-creation. Do not use for cluster-level Node Auto…
gke-workload-security
Audits, configures, and hardens workload-level security controls for Google Kubernetes Engine (GKE) applications and namespaces. Covers running security audits (auditcluster.sh), enforcing Network Policies (default-deny and Dataplane V2 logging), isolating high-risk pods inside GKE Sandbox (gVisor), enforcing Pod…
gke-reliability
Improves GKE workload reliability, using PDBs, health probes, and topology spread constraints. Use when configuring GKE workload reliability, setting up PDBs, or configuring GKE health probes (liveness, readiness, startup). Don't use for generating K8s YAML manifests (use gke-manifest-generation) or disaster recovery…
cloud-architect
Designs cloud architectures, creates migration plans, generates cost optimization recommendations, and produces disaster recovery strategies across AWS, Azure, and GCP. Use when designing cloud architectures, planning migrations, or optimizing multi-cloud deployments. Invoke for Well-Architected Framework, cost…
nemo-automodel-launcher-config
Configure NeMo AutoModel job launches for interactive runs, Slurm clusters, and SkyPilot cloud execution.
azure-mgmt-botservice-dotnet
Azure Resource Manager SDK for Bot Service in .NET. Management plane operations for creating and managing Azure Bot resources, channels (Teams, DirectLine, Slack), and connection settings. Triggers: "Bot Service", "BotResource", "Azure Bot", "DirectLine channel", "Teams channel", "bot management .NET", "create bot".