agentmods.dev

apify-actor-ops

apify-actor-ops is a skill for Claude Code from iofold/ainative-claude-plugins. It costs 32 tokens per session (1,096 once invoked), scanned A, original, MIT.

A set of operating procedures for running Apify Actors, retrieving their datasets, checking account limits, and preparing results for research workflows. Actors are Apify programs that collect data from specified sources.

In plain words
What is it for?
Use it to run small, capped Apify jobs, save raw outputs, check errors and result counts, and prepare safe summaries for later use.
Why use it?
It adds a controlled process for choosing collection programs, limiting spend and size, protecting API tokens, and recording run results.

Skill for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT} variable. Also seen: positional $N argument.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the apify-cloud plugin — 4 skills shipped together

not rated 3repo 15d ago A scan 32 tokens original MIT

Good fit Use it to run small, capped Apify jobs, save raw outputs, check errors and result counts, and prepare safe summaries for later use.

Compare 6 skills from other repositories ↓
View source ↗ iofold/ainative-claude-plugins
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add iofold/ainative-claude-plugins
Claude Code
/plugin install apify-cloud

Made for: Claude Code.

Or install apify-cloud, the plugin that ships this one along with the rest of its 4 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-actor-ops

README.md
[![agentmods](https://agentmods.dev/badge/skills/iofold/ainative-claude-plugins/apify-actor-ops/github.svg)](https://agentmods.dev/skills/iofold/ainative-claude-plugins/apify-actor-ops)
Your own site
<a href="https://agentmods.dev/skills/iofold/ainative-claude-plugins/apify-actor-ops"><img src="https://agentmods.dev/badge/skills/iofold/ainative-claude-plugins/apify-actor-ops/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-actor-ops

Your own site · 80×15
<a href="https://agentmods.dev/skills/iofold/ainative-claude-plugins/apify-actor-ops"><img src="https://agentmods.dev/badge/skills/iofold/ainative-claude-plugins/apify-actor-ops.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,096 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 original No closer match found 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 $0.00032 $0.01096
Opus 5.5 $0.00013 $0.00438
Sonnet 5.5 $0.00006 $0.00219
Haiku 4.5 $0.00003 $0.00110

Measured 14d ago against content hash 4756043b6a80, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

apify-actor-ops 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 14d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/run_actor.ts, scripts/seo_actor_presets.ts), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

apify-cloud/skills/apify-actor-ops/SKILL.md · 80 lines

How it starts

The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Apify Actor Ops

Use this skill when a task needs Apify Actors, Apify API calls, Actor datasets, or reusable scraping runs.

Token

  • Read APIFY_API_TOKEN first, then APIFY_TOKEN.
  • The bundled runner loads the nearest project .env when the environment variable is not already set.
  • Never print, commit, or copy the token into docs, logs, examples, or screenshots.

Safe Run Workflow

  1. Select an Actor using the policy below; do not use random or meta Actors.
  2. Confirm the target Actor ID and its current input contract from the Apify Store page or API docs.
  3. Start with the smallest useful request: low maxItems, low resultsLimit, narrow subreddit/user/query, and one URL or ID when possible.
  4. Pass Apify run caps: maxTotalChargeUsd, maxItems where supported, timeout, and memory.
  5. Save raw outputs under .tmp/apify-runs/; promote only curated, source-safe summaries into docs/wiki/.
  6. Record the actor ID, selection evidence, input payload without secrets, run status, result count, and any errors.

Actor Selection Policy

Use only Actors that satisfy all of these unless the user explicitly overrides:

  • Narrow task fit for the requested source and data shape.
  • High rating, preferably 4.5+, with meaningful usage/review signal.
  • Recent maintenance and no Deprecated or Under maintenance status.
  • Transparent cheap pay-per-use or pay-per-result pricing; avoid subscriptions for one-off research.
  • Clear input/output docs and predictable result caps.
  • Support for tiny smoke tests and run-level budget caps.

Do not use meta/generator Actors such as Hermes Skill Builder, actor-package generators, API-doc converters, or generic "build a skill from this URL" Actors for operational scraping. Those are only allowed when the task itself is to evaluate a generator.

Current approved and provisional defaults:

Source Actor Use Selection note
X/Twitter tweets xquik/x-tweet-scraper tweet ID lookup, search terms, advanced filters 5.0 rating, pay-per-result, about $0.15 / 1,000 tweets.
X/Twitter replies scraper_one/x-post-replies-scraper replies/comments for known post URLs 4.6 rating, targeted replies actor; verify current pricing before broad runs.
X/Twitter articles fastcrawler/x-twitter-article-to-markdown long-form x.com/i/article/... content, starting from the post ID that links to the article Provisional exception: no highly rated article-specific Actor was found; this one is narrow-fit, recently maintained, cheap pay-per-event, and passed a capped smoke test on 2026-04-30. Validate output before ingesting because article-ID input returned an empty row while the linking status ID returned Markdown.
Reddit peakydev/reddit-scraper-post-comments-users posts, comments, listings, communities, users 4.9 rating, pay-per-use, about $1.80 / 1,000 results.

Read the full file on GitHub · 80 lines

Files

What ships with it

3 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. 14d ago First seen · 80 lines · 32 tokens per session scan A 4756043b6a80

Subscribe to this mod's changes

apify-actor-ops is a skill published in the GitHub repository iofold/ainative-claude-plugins (3 stars, last pushed 15d ago), licensed MIT. It adds 32 tokens to every session and 1,096 once invoked, about $0.0001 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 2026-10-24.

Analytics and metricsResearch
Related

apify-actor-ops compared with skills from other repositories

apify-actor-ops next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
apify-actor-opsiofold/ainative-claude-pluginsSkill315d agoMITA32Claude Code
imagegenopenai/codexSkill134ktodayApache-2.0A113Codex
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79kyesterdayMITA200Claude Code, Codex
playwright-climicrosoft/playwrightSkill100kyesterdayApache-2.0A19Claude Code
browser-automationopenclaw/openclawSkill394ktodayMITA36Claude Code
systematic-debuggingobra/superpowersSkill314k4d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code