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 citedy/citedy-seo-agent --skill citedy-trend-scoutgit clone --depth 1 https://github.com/citedy/citedy-seo-agentWrote 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/citedy/citedy-seo-agent/citedy-trend-scout)<a href="https://agentmods.dev/skills/citedy/citedy-seo-agent/citedy-trend-scout"><img src="https://agentmods.dev/badge/skills/citedy/citedy-seo-agent/citedy-trend-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/citedy/citedy-seo-agent/citedy-trend-scout"><img src="https://agentmods.dev/badge/skills/citedy/citedy-seo-agent/citedy-trend-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 | $0.00053 | $0.04021 |
| Opus 5 | $0.00026 | $0.02011 |
| Sonnet 5 | $0.00011 | $0.00804 |
| Haiku 4.5 | $0.00005 | $0.00402 |
Grade A, and why
citedy-trend-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 12d 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
91% identical to citedy-trend-scout — 28 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 — 575 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Trend & Intent Scout — Skill Instructions
Overview
Find what your audience is searching for right now. This skill combines real-time social signals from X/Twitter and Reddit with SEO intelligence — giving you trending topics, competitor deep-dives, and content gaps in one workflow.
What sets this apart from DataForSEO or Semrush: those tools show you historical search volume. This skill shows you what people are talking about today on social — and maps those signals directly to content opportunities your competitors haven't covered yet.
Use cases:
- Morning briefing: what's blowing up in your niche right now?
- Competitor research: what's their content strategy and where are their gaps?
- Content calendar: find topics with social traction before they peak in SEO tools
- Market research: understand audience intent at the conversation level
When to Use
| Situation | What to do |
|---|---|
| "What should I write about today?" | Scout X + Reddit for trending topics in your niche |
| "What is my competitor doing?" | Discover + analyze competitor domains |
| "What content am I missing?" | Generate content gaps vs competitor URLs |
| "Morning briefing on AI trends" | Full workflow: X scout + Reddit scout + gaps |
| "Find competitors in [niche]" | Discover competitors by keywords |
Setup
1. Register your agent
POST https://www.citedy.com/api/agent/register
Content-Type: application/json
{
"name": "My Trend Scout",
"blog_url": "https://yourblog.com"
}
Response:
{
"api_key": "citedy_agent_xxxxxxxxxxxx",
"tenant_id": "uuid",
"blog_handle": "yourblog",
"credits": 100
}
Store api_key as CITEDY_API_KEY in your environment.
2. Authenticate all requests
All API calls require:
Authorization: Bearer $CITEDY_API_KEY
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.
- 12d ago First seen · 575 lines · 53 tokens per session scan A 5cc0fcba5ef8
citedy-trend-scout is a skill published in the GitHub repository citedy/citedy-seo-agent (19 stars, last pushed 3mo ago), licensed MIT. It adds 53 tokens to every session and 4,021 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to citedy-trend-scout, differing in 28 lines, and is treated as a copy.
Other skills, from other repositories
citedy-trend-scout
Find what your audience is searching for right now — scout X/Twitter and Reddit for trending topics, discover and deep-analyze competitors, and find content gaps. Combine social signals with SEO intelligence. Powered by Citedy.
citedy-seo-agent
Full-stack AI marketing toolkit — scout X/Twitter and Reddit for trending topics, discover and deep-analyze competitors, find content gaps, publish SEO- and GEO-optimized articles with AI illustrations and voice-over in 55 languages, create social media adaptations for X, LinkedIn, Facebook, Reddit, Threads…
scrapecreators-api
Scrape and extract public data from 27+ social media platforms using the ScrapeCreators REST API. Covers TikTok, Instagram, YouTube, LinkedIn, Facebook, Twitter/X, Reddit, Threads, Bluesky, Pinterest, Snapchat, Twitch, Kick, Truth Social, TikTok Shop, Google, and link-in-bio services (Linktree, Komi, Pillar, Linkbio…
outlier-post-finder
Use when the user wants to find posts, videos, reels, shorts, tweets, or social content that overperformed versus a creator, brand, or competitor baseline. Finds outliers, explains why they worked, extracts hooks and formats, and produces a practical swipe file.
ad-library-teardown
Use when the user wants to analyze active ads from Meta/Facebook, Google, or LinkedIn ad libraries; tear down a competitor's messaging; extract hooks, offers, CTAs, video transcripts, landing page claims, and test ideas from public ads.
comment-mining
Use when the user wants to mine comments and replies for audience reactions, customer language, questions, objections, complaints, product ideas, buying intent, sentiment, or voice-of-customer insights from public social posts and videos.