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 nevergoodstudy-hub/wechat-article-summarizer --skill apify-automationgit clone --depth 1 https://github.com/nevergoodstudy-hub/wechat-article-summarizerWrote 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/nevergoodstudy-hub/wechat-article-summarizer/apify-automation)<a href="https://agentmods.dev/skills/nevergoodstudy-hub/wechat-article-summarizer/apify-automation"><img src="https://agentmods.dev/badge/skills/nevergoodstudy-hub/wechat-article-summarizer/apify-automation/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/nevergoodstudy-hub/wechat-article-summarizer/apify-automation"><img src="https://agentmods.dev/badge/skills/nevergoodstudy-hub/wechat-article-summarizer/apify-automation.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 | $0.00038 | $0.01685 |
| Opus 5 | $0.00019 | $0.00843 |
| Sonnet 5 | $0.00008 | $0.00337 |
| Haiku 4.5 | $0.00004 | $0.00169 |
Grade A, and why
Apify Automation 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.
This is a copy
100% identical to Apify Automation — 0 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.
How it starts
The opening of the file, as written. The whole thing — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Apify Automation
Run Apify web scraping Actors and manage datasets directly from Claude Code. Execute crawlers synchronously or asynchronously, retrieve structured data, create reusable tasks, and inspect run logs without leaving your terminal.
Toolkit docs: composio.dev/toolkits/apify
Setup
- Add the Composio MCP server to your configuration:
https://rube.app/mcp - Connect your Apify account when prompted. The agent will provide an authentication link.
- Browse available Actors at apify.com/store. Each Actor has its own unique input schema -- always check the Actor's documentation before running.
Core Workflows
1. Run an Actor Synchronously and Get Results
Execute an Actor and immediately retrieve its dataset items in a single call. Best for quick scraping jobs.
Tool: APIFY_RUN_ACTOR_SYNC_GET_DATASET_ITEMS
Key parameters:
actorId(required) -- Actor ID in formatusername/actor-name(e.g.,compass/crawler-google-places)input-- JSON input object matching the Actor's schema. Each Actor has unique field names -- check apify.com/store for the exact schema.limit-- max items to returnoffset-- skip items for paginationformat--json(default),csv,jsonl,html,xlsx,xmltimeout-- run timeout in secondswaitForFinish-- max wait time (0-300 seconds)fields-- comma-separated list of fields to includeomit-- comma-separated list of fields to exclude
Example prompt: "Run the Google Places scraper for 'restaurants in New York' and return the first 50 results"
2. Run an Actor Asynchronously
Trigger an Actor run without waiting for completion. Use for long-running scraping jobs.
Tool: APIFY_RUN_ACTOR
Key parameters:
actorId(required) -- Actor slug or IDbody-- JSON input object for the Actormemory-- memory limit in MB (must be power of 2, minimum 128)timeout-- run timeout in secondsmaxItems-- cap on returned itemsbuild-- specific build tag (e.g.,latest,beta)
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 First seen · 168 lines · 38 tokens per session scan A 95d643719faa
Apify Automation is a skill published in the GitHub repository nevergoodstudy-hub/wechat-article-summarizer (5 stars, last pushed 2mo ago), licensed MIT. It adds 38 tokens to every session and 1,685 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to Apify Automation, differing in 0 lines, and is treated as a copy.
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