AAS Core is a local control plane for coding agents that lets them search a large catalogue of skills, choose a stack, validate it, and create a reproducible plan. It is used to assemble and review agent workflows through its CLI, local MCP server, catalogue, plugins, and Workbench. The catalogue add-ons provide the skills, plugins, bundles, and workflows that AAS Core helps agents select and validate.
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 sickn33/agentic-awesome-skills --skill apify-content-analyticsgit clone --depth 1 https://github.com/sickn33/agentic-awesome-skillsWrote 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/sickn33/agentic-awesome-skills/apify-content-analytics)<a href="https://agentmods.dev/skills/sickn33/agentic-awesome-skills/apify-content-analytics"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/apify-content-analytics/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/sickn33/agentic-awesome-skills/apify-content-analytics"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/apify-content-analytics.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 | $0.00030 | $0.01468 |
| Opus 5.5 | $0.00012 | $0.00587 |
| Sonnet 5.5 | $0.00006 | $0.00294 |
| Haiku 4.5 | $0.00003 | $0.00147 |
Grade A, and why
apify-content-analytics 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 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.
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
8 near-identical copies found in the catalogue:
- apify-content-analytics — 100% identical, 35 lines differ
- apify-content-analytics — 100% identical, 36 lines differ
- apify-content-analytics — 97% identical, 38 lines differ
- apify-content-analytics — 97% identical, 38 lines differ
- apify-content-analytics — 97% identical, 38 lines differ
- apify-content-analytics — 97% identical, 38 lines differ
- apify-content-analytics — 97% identical, 38 lines differ
- apify-content-analytics — 95% identical, 37 lines differ
How it starts
The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Analytics
Track and analyze content performance using Apify Actors to extract engagement metrics from multiple platforms.
When to Use
- You need engagement, growth, or ROI metrics for posts, reels, videos, ads, or hashtags.
- The task is to use Apify Actors to collect cross-platform content performance data.
- You need exported analytics results and a concise interpretation of what content is performing best.
Prerequisites
Verify prerequisites before any paid run.
.envfile withAPIFY_TOKEN- Node.js 20.6+ (for native
--env-filesupport) - An approved Apify connector or Console access to inspect the chosen Actor and its schema; the bundled runner uses REST directly.
- Keep
.envuntracked and private; configure the token locally without pasting it into chat or command arguments.
Workflow
Copy this checklist and track progress:
Task Progress:
- [ ] Step 1: Identify content analytics type (select Actor)
- [ ] Step 2: Fetch Actor schema via an approved connector or Console
- [ ] Step 3: Ask user preferences (format, filename)
- [ ] Step 4: Run the analytics script
- [ ] Step 5: Summarize findings
Step 1: Identify Content Analytics Type
Select the appropriate Actor based on analytics needs:
| User Need | Actor ID | Best For |
|---|---|---|
| Post engagement metrics | apify/instagram-post-scraper |
Post performance |
| Reel performance | apify/instagram-reel-scraper |
Reel analytics |
| Follower growth tracking | apify/instagram-followers-count-scraper |
Growth metrics |
| Comment engagement | apify/instagram-comment-scraper |
Comment analysis |
| Hashtag performance | apify/instagram-hashtag-scraper |
Branded hashtags |
| Mention tracking | apify/instagram-tagged-scraper |
Tag tracking |
| Comprehensive metrics | apify/instagram-scraper |
Full data |
| API-based analytics | apify/instagram-api-scraper |
API access |
| Facebook post performance | apify/facebook-posts-scraper |
Post metrics |
| Reaction analysis | apify/facebook-likes-scraper |
Engagement types |
| Facebook Reels metrics | apify/facebook-reels-scraper |
Reels performance |
| Ad performance tracking | apify/facebook-ads-scraper |
Ad analytics |
| Facebook comment analysis | apify/facebook-comments-scraper |
Comment engagement |
| Page performance audit | apify/facebook-pages-scraper |
Page metrics |
| YouTube video metrics | streamers/youtube-scraper |
Video performance |
| YouTube Shorts analytics | streamers/youtube-shorts-scraper |
Shorts performance |
| TikTok content metrics | clockworks/tiktok-scraper |
TikTok analytics |
What ships with it
1 file 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 Changed · +1 lines f2edd4385a0a
- 4d ago Changed d5cac3a13b78
- 1mo ago Changed · +1 lines 0f0cea8e6cd5
- 1mo ago First seen · 132 lines · 30 tokens per session scan A e8b04f795b84
apify-content-analytics is a skill published in the GitHub repository sickn33/agentic-awesome-skills (48,503 stars, last pushed yesterday), licensed MIT. It adds 30 tokens to every session and 1,468 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 2026-09-05.
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