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.
npx skills add TrueClicks/claude-plugins --skill skill-124-performance-anomaly-alert-configurationgit clone --depth 1 https://github.com/TrueClicks/claude-pluginsWrote 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.
[](https://agentmods.dev/skills/trueclicks/claude-plugins/skill-124-performance-anomaly-alert-configuration)<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.
<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>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 | $0.00023 | $0.00630 |
| Opus 5.5 | $0.00009 | $0.00252 |
| Sonnet 5.5 | $0.00005 | $0.00126 |
| Haiku 4.5 | $0.00002 | $0.00063 |
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.
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 performancedata/performance/campaigns/*/*/ad_group_metrics_30_days.md- Ad group performancedata/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
- Calculate baselines: Compute 30-day averages and standard deviations for key metrics
- Define normal ranges: Set upper/lower bounds at mean +/- 2 standard deviations
- Detect current anomalies: Compare recent performance against baselines
- Categorize by severity: Critical (immediate action) vs Warning (monitor)
- 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 |
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.
- 21d ago First seen · 84 lines · 23 tokens per session scan A e8a8de2f0660
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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