skill-124-performance-anomaly-alert-configuration

skill-124-performance-anomaly-alert-configuration is a skill for Claude Code from TrueClicks/claude-plugins. It costs 23 tokens per session (630 once invoked), scanned A, original, MIT.

A Google Ads analysis that finds unusual changes in campaign metrics and recommends alert thresholds. It compares recent results with a 30-day normal baseline.

In plain words
What is it for?
Use it to set monitoring rules for campaign performance, including impressions, clicks, cost, conversions, click-through rate, and average cost per click.
Why use it?
It helps catch conversion drops, lost impressions, and sudden cost increases before they cause larger problems. Without alerts, important changes can go unnoticed.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the google-ads plugin — 145 skills, 4 commands shipped together

Good fit Use it to set monitoring rules for campaign performance, including impressions, clicks, cost, conversions, click-through rate, and average cost per click.

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Install with agentmods
npx agentmods add skills/trueclicks/claude-plugins/skill-124-performance-anomaly-alert-configuration
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 TrueClicks/claude-plugins --skill skill-124-performance-anomaly-alert-configuration
Clone the repo
git clone --depth 1 https://github.com/TrueClicks/claude-plugins

Made for: Claude Code.

Or install google-ads, the plugin that ships this one along with the rest of its 145 skills, 4 commands.

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 skill-124-performance-anomaly-alert-configuration

README.md
[![agentmods](https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-124-performance-anomaly-alert-configuration/github.svg)](https://agentmods.dev/skills/trueclicks/claude-plugins/skill-124-performance-anomaly-alert-configuration)
Your own site
<a href="https://agentmods.dev/skills/trueclicks/claude-plugins/skill-124-performance-anomaly-alert-configuration"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-124-performance-anomaly-alert-configuration/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 skill-124-performance-anomaly-alert-configuration

Your own site · 80×15
<a href="https://agentmods.dev/skills/trueclicks/claude-plugins/skill-124-performance-anomaly-alert-configuration"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-124-performance-anomaly-alert-configuration.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 630 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 $0.00023 $0.00630
Opus 5.5 $0.00009 $0.00252
Sonnet 5.5 $0.00005 $0.00126
Haiku 4.5 $0.00002 $0.00063

Measured 21d ago against content hash e8a8de2f0660, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

skill-124-performance-anomaly-alert-configuration 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 21d 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.

plugins/google-ads/skills/skill-124-performance-anomaly-alert-configuration/SKILL.md · 84 lines

How it starts

The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill 124: Performance Anomaly Alert Configuration

Purpose

Establish baseline metrics and detect significant deviations that indicate problems requiring immediate attention. Configure alert thresholds to catch issues like conversion drops, impression losses, or cost spikes before they cause major damage.

Data Requirements

Data Source: Standard

Standard Data:

  • data/performance/campaigns/*/campaign_metrics_30_days.md - Campaign performance
  • data/performance/campaigns/*/*/ad_group_metrics_30_days.md - Ad group performance
  • data/account/campaigns/*/campaign.md - Budget settings

Reference GAQL:

SELECT
  campaign.name,
  metrics.impressions,
  metrics.clicks,
  metrics.cost_micros,
  metrics.conversions,
  metrics.ctr,
  metrics.average_cpc
FROM campaign
WHERE segments.date DURING LAST_30_DAYS
  AND campaign.status = 'ENABLED'

Use /google-ads:get-custom for period comparisons or daily granularity.

Analysis Steps

  1. Calculate baselines: Compute 30-day averages and standard deviations for key metrics
  2. Define normal ranges: Set upper/lower bounds at mean +/- 2 standard deviations
  3. Detect current anomalies: Compare recent performance against baselines
  4. Categorize by severity: Critical (immediate action) vs Warning (monitor)
  5. Generate alert rules: Provide specific configurations for automated monitoring

Thresholds

Condition Severity
Impressions -50% day-over-day Critical
Conversions -80% week-over-week Critical
CPA +100% vs target Critical
CTR -50% day-over-day Critical
Impressions -25% week-over-week Warning
Conversions -30% week-over-week Warning

Output

Short format (default):

## Anomaly Alert Audit

**Account:** [Name] | **Period:** Last 30 days | **Anomalies:** [X]

### Critical Alerts ([Count])
- **[Campaign]**: Impressions -[X]% vs baseline → Investigate immediately
- **[Campaign]**: Conversions dropped [X]% → Check tracking

### Warnings ([Count])
- **[Campaign]**: CTR declining [X]% week-over-week → Monitor ad fatigue

### Recommended Alert Configuration
| Metric | Threshold | Frequency |
|--------|-----------|-----------|
| Impression drop | -50% DoD | Daily |
| Conversion drop | -30% WoW | Daily |
| CPA spike | +100% vs target | Daily |

Read the full file on GitHub · 84 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. 21d ago First seen · 84 lines · 23 tokens per session scan A e8a8de2f0660

Subscribe to this mod's changes

skill-124-performance-anomaly-alert-configuration is a skill published in the GitHub repository TrueClicks/claude-plugins (2 stars, last pushed 22d ago), licensed MIT. It adds 23 tokens to every session and 630 once invoked, about $0.0001 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 2026-10-08.

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