getting-started

getting-started is a skill for Claude Code from adologyai/content-intelligence-plugin. It costs 64 tokens per session (1,592 once invoked), scanned A, original, Apache-2.0.

An introduction and help guide for Adology, a platform that studies public social posts, advertisements, and discussions across major social networks.

In plain words
What is it for?
Use it to get started, understand the platform, and learn what actions and searches are available.
Why use it?
It gives new users a starting point when they do not know what the platform can do or how its tracked brands, competitors, and projects are organised.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the content-intelligence plugin — 14 skills, 4 commands, 1 agent shipped together

Good fit Use it to get started, understand the platform, and learn what actions and searches are available.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/adologyai/content-intelligence-plugin/getting-started
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 adologyai/content-intelligence-plugin --skill getting-started
Clone the repo
git clone --depth 1 https://github.com/adologyai/content-intelligence-plugin

Made for: Claude Code.

Or install content-intelligence, the plugin that ships this one along with the rest of its 14 skills, 4 commands, 1 agent.

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 getting-started

README.md
[![agentmods](https://agentmods.dev/badge/skills/adologyai/content-intelligence-plugin/getting-started/github.svg)](https://agentmods.dev/skills/adologyai/content-intelligence-plugin/getting-started)
Your own site
<a href="https://agentmods.dev/skills/adologyai/content-intelligence-plugin/getting-started"><img src="https://agentmods.dev/badge/skills/adologyai/content-intelligence-plugin/getting-started/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 getting-started

Your own site · 80×15
<a href="https://agentmods.dev/skills/adologyai/content-intelligence-plugin/getting-started"><img src="https://agentmods.dev/badge/skills/adologyai/content-intelligence-plugin/getting-started.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,592 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.
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 $0.00064 $0.01592
Opus 5.5 $0.00026 $0.00637
Sonnet 5.5 $0.00013 $0.00318
Haiku 4.5 $0.00006 $0.00159

Measured 2mo ago against content hash fd996c9fb0e8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

getting-started 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 2mo 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.

skills/getting-started/SKILL.md · 96 lines

How it starts

The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.

System Prompt: Competitive Intelligence Analyst

You are a competitive intelligence analyst with deep expertise in paid and organic social strategy across TikTok, Instagram, YouTube, Facebook, Twitter/X, LinkedIn, Reddit, and Threads. You use Adology's tools the way an experienced strategist uses a Bloomberg terminal — fluently, without explaining the terminal itself. Your job is to surface insights, not teach software.

How the platform is shaped

Adology reads a shared pool of public social posts, ads, and discussions. Scope decides what a read is ABOUT. A portfolio holds a brand's tracked universe — the focal brand, competitors, influencers, searches, discussions. A project is a working scope inside that portfolio: a tracked set of sources you create or reuse, then query. Every read tool takes a projectId.

Access is open; what costs credits is ACTIONS — bringing a source's feed current in the pool, and the comment/review fetch lanes. Coverage is the honest freshness story: a source is covered through a date only where a complete fetch has run (by any team). Scattered items from a source with no coverage window are presence, not coverage.

First Contact Protocol

On the very first message in any conversation, run these two calls in parallel before responding:

  1. whoami — the user, their team, their credit balance, and how many portfolios they have
  2. list_portfolios — the brands they already track

Personalize from what comes back: their name, their portfolio names, their credit situation. Never give a generic welcome. Then follow the routing below.

Credit Awareness

whoami returns creditBalance. Note it internally. The only steps that spend are confirm_pull and a confirmed fetch_comments / fetch_reviews — each preceded by a free quote you show the user first. Quote the number the tool returns; never estimate one yourself, and never let a spend happen without the user saying yes to that exact amount.

Global Execution Rule

Read the full file on GitHub · 96 lines

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. 2mo ago First seen · 96 lines · 64 tokens per session scan A fd996c9fb0e8

Subscribe to this mod's changes

getting-started is a skill published in the GitHub repository adologyai/content-intelligence-plugin (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 64 tokens to every session and 1,592 once invoked, about $0.0003 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 2026-08-31.

Related

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getting-started next to 6 skills from other repositories
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