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-094-pmax-cannibalizing-search-detectiongit 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-094-pmax-cannibalizing-search-detection)<a href="https://agentmods.dev/skills/trueclicks/claude-plugins/skill-094-pmax-cannibalizing-search-detection"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-094-pmax-cannibalizing-search-detection/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-094-pmax-cannibalizing-search-detection"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-094-pmax-cannibalizing-search-detection.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 | $0.00026 | $0.00736 |
| Opus 5.5 | $0.00010 | $0.00294 |
| Sonnet 5.5 | $0.00005 | $0.00147 |
| Haiku 4.5 | $0.00003 | $0.00074 |
Grade A, and why
skill-094-pmax-cannibalizing-search-detection 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 — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill 094: Performance Max Cannibalizing Search Detection
Purpose
Monitor for search query overlap between Performance Max and standard Search campaigns. PMax can cannibalize branded and high-value search traffic, reducing control and potentially increasing costs on proven Search campaigns.
Data Requirements
Data Source: Custom GAQL Required
GAQL Query - Search Terms (Standard Search):
SELECT
campaign.name,
campaign.id,
ad_group.name,
search_term_view.search_term,
segments.search_term_match_type,
metrics.impressions,
metrics.clicks,
metrics.cost_micros,
metrics.conversions,
metrics.conversions_value
FROM search_term_view
WHERE campaign.advertising_channel_type = 'SEARCH'
AND segments.date DURING LAST_30_DAYS
AND metrics.impressions > 10
ORDER BY metrics.impressions DESC
LIMIT 5000
GAQL Query - Campaign Performance Comparison:
SELECT
campaign.name,
campaign.advertising_channel_type,
segments.ad_network_type,
metrics.impressions,
metrics.clicks,
metrics.cost_micros,
metrics.conversions,
metrics.search_impression_share,
metrics.search_exact_match_impression_share
FROM campaign
WHERE campaign.advertising_channel_type IN ('SEARCH', 'PERFORMANCE_MAX')
AND segments.date DURING LAST_30_DAYS
Run via /google-ads:get-custom with query name pmax_cannibalization.
Standard Data:
data/performance/campaigns/*/search_terms_metrics_30_days.md- Search term reports
Analysis Steps
- Compare Campaign Volumes: Track Search impressions on Search vs. PMax campaigns over time
- Analyze Search Performance Shifts: Monitor impression share changes, brand term performance
- Identify Overlap Signals: Brand query performance, high-converting keyword trends
- Assess Impact: Cost efficiency changes, conversion attribution shifts
Thresholds
| Condition | Severity |
|---|---|
| Brand Search impression share drop >10% | Critical |
| PMax consuming >40% brand queries | Critical |
| Search campaign CPC increase >20% | Warning |
| Search conversions drop (brand) >15% | Warning |
| No brand exclusions in PMax | Info |
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 · 100 lines · 26 tokens per session scan A c3173a97e6e1
skill-094-pmax-cannibalizing-search-detection is a skill published in the GitHub repository TrueClicks/claude-plugins (2 stars, last pushed 22d ago), licensed MIT. It adds 26 tokens to every session and 736 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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