A collection of commands and procedures for reviewing paid advertising across Google, Meta, YouTube, LinkedIn, TikTok, and Microsoft. A paid advertising audit examines campaign setup, results, spending, and creative materials.

Use it to run a full advertising audit or review one platform, campaign budgets, landing pages, competitor activity, or the quality of ad materials.

It brings platform reviews into one workflow instead of requiring separate checks for every advertising service. It can also focus the review on areas such as budgets, landing pages, competitors, or ad creative.

ads — Skill for Claude Code by aAAaqwq

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 aAAaqwq/AGI-Super-Team --skill ads

Clone the repo

git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team

Made for: Claude Code.

Or install agi-super-team, the plugin that ships this one along with the rest of its 193 skills, 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/ads/github.svg)](https://agentmods.dev/skills/aaaaqwq/agi-super-team/ads)

Your own site

<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/ads"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/ads/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/ads"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/ads.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,762 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 warn 7 Sept 2026

SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

medium Rogue Agent · line 53
Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.

Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00000	$0.01762
Opus 5	$0.00000	$0.00881
Sonnet 5	$0.00000	$0.00352
Haiku 4.5	$0.00000	$0.00176

Measured 10d ago against content hash cff99127b6b3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

ads 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 10d 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/ads/SKILL.md · 158 lines

How it starts

The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ads — Multi-Platform Paid Advertising Audit & Optimization

Comprehensive ad account analysis across all major platforms (Google, Meta, LinkedIn, TikTok, Microsoft). Orchestrates 12 specialized sub-skills and 6 subagents.

Quick Reference

Command	What it does
`/ads audit`	Full multi-platform audit with parallel subagent delegation
`/ads google`	Google Ads deep analysis (Search, PMax, YouTube)
`/ads meta`	Meta Ads deep analysis (FB, IG, Advantage+)
`/ads youtube`	YouTube Ads specific analysis
`/ads linkedin`	LinkedIn Ads deep analysis (B2B, Lead Gen)
`/ads tiktok`	TikTok Ads deep analysis (Creative, Shop, Smart+)
`/ads microsoft`	Microsoft/Bing Ads deep analysis (Copilot, Import)
`/ads creative`	Cross-platform creative quality audit
`/ads landing`	Landing page quality assessment for ad campaigns
`/ads budget`	Budget allocation and bidding strategy review
`/ads plan <business-type>`	Strategic ad plan with industry templates
`/ads competitor`	Competitor ad intelligence analysis

Orchestration Logic

When the user invokes /ads audit, delegate to subagents in parallel:

Collect account data (exports, screenshots, or API access details)
Detect business type and identify active platforms
Spawn subagents: audit-google, audit-meta, audit-creative, audit-tracking, audit-budget, audit-compliance
Collect results and generate unified report with Ads Health Score (0-100)
Create prioritized action plan with Quick Wins

For individual commands (/ads google, /ads meta, etc.), load the relevant sub-skill directly.

Industry Detection

Detect business type from ad account signals:

SaaS: trial_start/demo_request events, pricing page targeting, long attribution windows
E-commerce: purchase events, product catalog/feed, Shopping/PMax campaigns
Local Service: call extensions, location targeting, store visits, directions events
B2B Enterprise: LinkedIn Ads active, ABM lists, high CPA tolerance ($50+), long sales cycle
Info Products: webinar/course funnels, lead gen forms, low-ticket offers
Mobile App: app install campaigns, in-app events, deep linking
Real Estate: listing feeds, property-specific landing pages, geo-heavy targeting
Healthcare: HIPAA compliance flags, healthcare-specific ad policies
Finance: Special Ad Categories declared, financial products compliance
Agency: multiple client accounts, white-label reporting needs

Read the full file on GitHub · 158 lines

Files

What ships with it

18 files 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.

10d ago First seen · 158 lines · 0 tokens per session scan A cff99127b6b3

Subscribe to this mod's changes

ads is a skill published in the GitHub repository aAAaqwq/AGI-Super-Team (91 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,762 tokens. 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.

Analytics and metrics Claude Code Marketing and SEO agent-orchestration agent-skills ai-agent-framework ai-agents developer-tools

deslop

The optimization pass, defined - delete before you add, one smell class per pass, behaviour pinned by a test that ran BEFORE the edit. Lints a SKILL.md and prose by the same instinct. Use for the per-story optimization pass or when code has grown noisy without growing capable.

jjanczur/tyran · 58 tokens

root-cause

Find the mechanism behind a failure instead of patching its symptom - reproduce first, one variable per experiment with the prediction written before the run, exit by naming the mechanism and pinning it with a failing test. Use for a bug, an unexplained red test, or a failure that will not reproduce.

jjanczur/tyran · 61 tokens

guidance

Add, edit, or audit guidance docs. Default writes guidance for Claude (.claude/guidance/, Markdown, moflo universal rules). -h writes for human readers (docs/, lighter ruleset). --html emits HTML with a minimal default stylesheet instead of Markdown. -a audits the .claude/guidance/ directory.

eric-cielo/moflo · 70 tokens

eldar

Consult the Eldar — audit a project's moflo + Claude Code setup for portable, high-leverage gaps and guide remediation. Default mode is read-only audit with severity-ranked findings; --fix presents an interactive triage menu and walks the user through each chosen fix (healer, missing CLAUDE.md, sparse guidance…

eric-cielo/moflo · 115 tokens

aigon-next

Suggest the most likely next workflow action based on current context.

jayvee/aigon · 15 tokens

review-deep

Drive the deep-review phase of an automated PR review. Consumes the walkthrough, runs the deterministic deep-review workflow (parallel lenses → adversarial validation → code-enforced threshold/caps), drafts the surviving findings, and completes the review run.

ShreyPaharia/octomux · 52 tokens