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 gabrielmoreira/agent-skills-mirror --skill trending-content-scoutgit clone --depth 1 https://github.com/gabrielmoreira/agent-skills-mirrorWrote 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/gabrielmoreira/agent-skills-mirror/trending-content-scout)<a href="https://agentmods.dev/skills/gabrielmoreira/agent-skills-mirror/trending-content-scout"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/trending-content-scout/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/gabrielmoreira/agent-skills-mirror/trending-content-scout"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/trending-content-scout.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 | $0.00181 | $0.05303 |
| Opus 5 | $0.00090 | $0.02652 |
| Sonnet 5 | $0.00036 | $0.01061 |
| Haiku 4.5 | $0.00018 | $0.00530 |
Grade A, and why
trending-content-scout 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 9d 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 trending-content-scout — 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 — 503 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Trending Content Scout
Scan YouTube, TikTok, X, and Reddit for top-performing content by real engagement data. Find winning formats, hooks, and content gaps — before you create anything. Stop guessing what works. See what's already winning, then build on proven patterns.
This skill is the data foundation for the entire content pipeline. Run it first,
then feed its output into content-angle-ranker, viral-post-writer, tiktok-script-writer,
or any S2/S3 content skill.
Stage
This skill belongs to Stage S1: Research
When to Use
- Before creating any content for a keyword or niche
- When entering a new niche and need to understand what content works
- When comparing engagement across platforms for a topic
- When looking for content gaps competitors haven't filled
- When benchmarking your existing content against what's performing
- As the first step in any content creation workflow (before S2 skills)
Input Schema
keyword: string # (required) Search keyword — "AI video tools", "email marketing tips"
platforms: string[] # (optional, default: ["youtube", "tiktok"])
# Options: "youtube" | "tiktok" | "x" | "reddit"
sort_by: string # (optional, default: "engagement_score")
# Options: "views" | "likes" | "engagement_score" | "recency"
time_range: string # (optional, default: "30d") "7d" | "30d" | "90d" | "all"
limit: number # (optional, default: 20) Max content pieces to analyze
product: object # (optional) Specific product to focus on
name: string # "HeyGen"
url: string # "https://heygen.com"
No api_config needed in input — skills auto-detect configuration from conversation
context, project settings, or CLAUDE.md. See shared/references/social-data-providers.md
for setup instructions.
Workflow
Step 1: Determine Data Source
Check if the user has API configuration available:
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.
- 9d ago First seen · 503 lines · 181 tokens per session scan A 1971b8fe24dc
trending-content-scout is a skill published in the GitHub repository gabrielmoreira/agent-skills-mirror (17 stars, last pushed yesterday), licensed MIT. It adds 181 tokens to every session and 5,303 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to trending-content-scout, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
trending-content-scout
Scan social platforms for top-performing content by engagement before you create anything. Use this skill when the user wants to see what content is winning in a niche, find viral content patterns, research what's working on YouTube/TikTok/X/Reddit, benchmark engagement, discover content gaps, or says "what content is…
content-angle-ranker
Rank content angles by engagement data, competition level, and platform fit. Data-driven angle selection instead of guesswork. Use this skill when the user has a keyword or product and needs to decide WHAT to create, which angle to take, which format to use, or which platform to target. Triggers on: "what angle should…
affiliate-blog-builder
Write SEO-optimized affiliate blog articles, product reviews, comparison posts, listicles, and how-to guides. Triggers on: "write a blog post about", "review of [product]", "best [category] article", "comparison blog", "affiliate blog", "SEO article", "write a review", "product roundup", "blog content for affiliate"…
content-research-brief
Research trending topics, collect source articles, and generate a structured research brief for content creation. Stop writing from thin air — write from real sources. Use this skill when the user wants to research a topic before writing, collect sources for an article, create a research-backed content brief, or says…
infographic-generator
Generate branded infographic specifications from any content or data. Outputs structured layout, copy, data visualization, and color scheme — ready to render as HTML/CSS, Satori, Canva, or any design tool. Use this skill when the user wants an infographic, data visual, social media image, comparison chart, stat card…
reddit-post-writer
Write Reddit posts and comments that recommend affiliate products without getting banned or flagged as spam. Subreddit-native content that adds value first. Use this skill when the user asks about Reddit posts for affiliate marketing, writing Reddit comments that mention products, how to promote affiliate links on…