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-128-performance-max-channel-performancegit 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-128-performance-max-channel-performance)<a href="https://agentmods.dev/skills/trueclicks/claude-plugins/skill-128-performance-max-channel-performance"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-128-performance-max-channel-performance/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-128-performance-max-channel-performance"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-128-performance-max-channel-performance.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 | $0.00020 | $0.00767 |
| Opus 5.5 | $0.00008 | $0.00307 |
| Sonnet 5.5 | $0.00004 | $0.00153 |
| Haiku 4.5 | $0.00002 | $0.00077 |
Grade A, and why
skill-128-performance-max-channel-performance 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 — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill 128: Performance Max Channel Performance
Purpose
Extract available performance data from Performance Max campaigns including asset group performance, network distribution, and placement insights. Identify optimization opportunities despite PMax's limited visibility.
Data Requirements
Data Source: Custom GAQL Required
Performance Max data requires custom queries for asset group and placement insights.
GAQL Queries:
Campaign-level:
SELECT
campaign.name,
campaign.id,
campaign.status,
campaign_budget.amount_micros,
metrics.impressions,
metrics.clicks,
metrics.cost_micros,
metrics.conversions,
metrics.conversions_value
FROM campaign
WHERE campaign.advertising_channel_type = 'PERFORMANCE_MAX'
AND segments.date DURING LAST_30_DAYS
Asset Group:
SELECT
campaign.name,
asset_group.name,
asset_group.status,
metrics.impressions,
metrics.clicks,
metrics.cost_micros,
metrics.conversions
FROM asset_group
WHERE campaign.advertising_channel_type = 'PERFORMANCE_MAX'
AND segments.date DURING LAST_30_DAYS
ORDER BY metrics.cost_micros DESC
Network Distribution:
SELECT
campaign.name,
segments.ad_network_type,
metrics.impressions,
metrics.clicks,
metrics.cost_micros,
metrics.conversions
FROM campaign
WHERE campaign.advertising_channel_type = 'PERFORMANCE_MAX'
AND segments.date DURING LAST_30_DAYS
Run via /google-ads:get-custom.
Analysis Steps
- Identify PMax campaigns: Locate all Performance Max campaigns in account
- Fetch performance data: Run GAQL queries for campaign, asset group, and network data
- Analyze asset groups: Compare performance across asset groups
- Review network distribution: Assess spend allocation across networks
- Compare to standard campaigns: Benchmark PMax CPA/ROAS against Search/Display
Thresholds
| Condition | Severity |
|---|---|
| PMax CPA > 50% above Search campaign CPA | Critical |
| Asset group with "Low" strength and high spend | Warning |
| >70% spend on Display network with poor conversions | Warning |
| No first-party audience signals configured | 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 · 118 lines · 20 tokens per session scan A 5e2e05dbc3b2
skill-128-performance-max-channel-performance is a skill published in the GitHub repository TrueClicks/claude-plugins (2 stars, last pushed 22d ago), licensed MIT. It adds 20 tokens to every session and 767 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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