Skip to content
Back to skills

Ads Monitor

ASecurity

Monitor paid-ad account pacing, delivery, performance, creative fatigue, tracking, policy, and data quality across supported platforms. Use for daily or weekly checks, anomaly review, budget pacing, post-launch verification, or campaign monitoring.

  • 9,406 stars
  • 0 votes
  • 0 copies
  • 3 views
  • Added August 31, 2026
ai-agentsperformance

Security analysis

A100/100

Scanned August 31, 2026

npx -y skills add AgriciDaniel/claude-ads --skill ads-monitor --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Ads Monitor?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Ads Monitor
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/agricidaniel-ads-monitor/badge)](https://www.skillsdirectory.com/skills/agricidaniel-ads-monitor)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
---
name: ads-monitor
description: "Monitor paid-ad account pacing, delivery, performance, creative fatigue, tracking, policy, and data quality across supported platforms. Use for daily or weekly checks, anomaly review, budget pacing, post-launch verification, or campaign monitoring."
---

# Paid Media Monitoring

1. Load two or more normalized snapshots with compatible account, timezone,
   currency, metric, and attribution definitions.
2. Validate data freshness and finalization windows before comparing periods.
3. Separate expected learning, seasonality, reporting latency, and planned changes
   from unexplained anomalies.
4. Evaluate pacing, delivery, conversion quality, unit economics, creative fatigue,
   tracking health, policy status, and changed account objects.
5. Return observations, confidence, likely causes, required investigation, and
   decision thresholds. Do not mutate the account.
6. Persist a versioned monitoring bundle and link detected failures to regression
   or follow-up tasks.

Do not alert on percentage changes with trivial denominators or incomparable
windows. State when evidence cannot distinguish noise from a material change.

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments

Loading comments…

Newsletter

Get the weekly list of safe new skills, and the ones we pulled.