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.
/plugin marketplace add henryalouf/ruflow/plugin install antigravity-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/henryalouf/ruflow/apify-content-analytics)<a href="https://agentmods.dev/skills/henryalouf/ruflow/apify-content-analytics"><img src="https://agentmods.dev/badge/skills/henryalouf/ruflow/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/henryalouf/ruflow/apify-content-analytics"><img src="https://agentmods.dev/badge/skills/henryalouf/ruflow/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 | $0.01100 |
| Opus 5 | $0.00015 | $0.00550 |
| Sonnet 5 | $0.00006 | $0.00220 |
| Haiku 4.5 | $0.00003 | $0.00110 |
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 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
4 near-identical copies found in the catalogue:
- apify-content-analytics — 100% identical, 0 lines differ
- apify-content-analytics — 100% identical, 0 lines differ
- apify-content-analytics — 100% identical, 0 lines differ
- apify-content-analytics — 95% identical, 3 lines differ
How it starts
The opening of the file, as written. The whole thing — 122 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.
Prerequisites
(No need to check it upfront)
.envfile withAPIFY_TOKEN- Node.js 20.6+ (for native
--env-filesupport) mcpcCLI tool:npm install -g @apify/mcpc
Workflow
Copy this checklist and track progress:
Task Progress:
- [ ] Step 1: Identify content analytics type (select Actor)
- [ ] Step 2: Fetch Actor schema via mcpc
- [ ] 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.
- 8d ago First seen · 122 lines · 30 tokens per session scan A 01351ab094f3
apify-content-analytics is a skill published in the GitHub repository henryalouf/ruflow (129 stars, last pushed 3mo ago), licensed MIT. It adds 30 tokens to every session and 1,100 once invoked, about $0.0002 per session on Opus 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 2026-09-03.
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