citedy-trend-scout

citedy-trend-scout is a skill for Claude Code, Codex from citedy/adclaw. It costs 53 tokens per session (4,020 once invoked), scanned A, original, Apache-2.0.

A research tool that combines current discussions on X/Twitter and Reddit with search-engine data to identify topics, competitors, and uncovered content areas.

In plain words
What is it for?
Use it for daily topic scouting, competitor research, content calendars, audience-intent research, and finding gaps against competitor websites.
Why use it?
It helps replace guesswork with evidence about what audiences are discussing now and where competing content is missing.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it for daily topic scouting, competitor research, content calendars, audience-intent research, and finding gaps against competitor websites.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/citedy/adclaw/citedy-trend-scout
Install

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.

Any agent
npx skills add citedy/adclaw --skill citedy-trend-scout
Clone the repo
git clone --depth 1 https://github.com/citedy/adclaw

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for citedy-trend-scout

README.md
[![agentmods](https://agentmods.dev/badge/skills/citedy/adclaw/citedy-trend-scout/github.svg)](https://agentmods.dev/skills/citedy/adclaw/citedy-trend-scout)
Your own site
<a href="https://agentmods.dev/skills/citedy/adclaw/citedy-trend-scout"><img src="https://agentmods.dev/badge/skills/citedy/adclaw/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.

agentmods 80×15 button for citedy-trend-scout

Your own site · 80×15
<a href="https://agentmods.dev/skills/citedy/adclaw/citedy-trend-scout"><img src="https://agentmods.dev/badge/skills/citedy/adclaw/citedy-trend-scout.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,020 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00053 $0.04020
Opus 5 $0.00026 $0.02010
Sonnet 5 $0.00011 $0.00804
Haiku 4.5 $0.00005 $0.00402

Measured 12d ago against content hash a93a1e436261, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

src/adclaw/agents/skills/citedy-trend-scout/SKILL.md · 575 lines

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

Read the full file on GitHub · 575 lines

Files

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.

Changes

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.

  1. 12d ago First seen · 575 lines · 53 tokens per session scan A a93a1e436261

Subscribe to this mod's changes

citedy-trend-scout is a skill published in the GitHub repository citedy/adclaw (37 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 53 tokens to every session and 4,020 once invoked, about $0.0003 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 2026-08-30.

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