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-011-power-pack-assessmentgit 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-011-power-pack-assessment)<a href="https://agentmods.dev/skills/trueclicks/claude-plugins/skill-011-power-pack-assessment"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-011-power-pack-assessment/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-011-power-pack-assessment"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-011-power-pack-assessment.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 | $0.00033 | $0.00724 |
| Opus 5 | $0.00016 | $0.00362 |
| Sonnet 5 | $0.00007 | $0.00145 |
| Haiku 4.5 | $0.00003 | $0.00072 |
Grade A, and why
skill-011-power-pack-assessment 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 10d 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 — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill 011: Google "Power Pack" Structure Assessment
Purpose
Evaluate whether the account leverages Google's 2025 recommended campaign trio: Performance Max + Demand Gen + AI Max for Search. This structure represents Google's latest AI-driven architecture guidance for full-funnel coverage.
Data Requirements
Data Source: Standard
Standard Data:
data/account/campaigns/*/campaign.md- All campaign types and settingsdata/performance/campaigns/*/campaign_metrics_30_days.md- Campaign performance
Reference GAQL:
SELECT
campaign.id,
campaign.name,
campaign.status,
campaign.advertising_channel_type,
campaign.advertising_channel_sub_type,
campaign.bidding_strategy_type,
metrics.impressions,
metrics.clicks,
metrics.cost_micros,
metrics.conversions,
metrics.conversions_value
FROM campaign
WHERE campaign.status = 'ENABLED'
AND segments.date DURING LAST_30_DAYS
Use /google-ads:get-custom if you need additional campaign type details or different date ranges.
Analysis Steps
- Inventory campaign types: Categorize all campaigns (Performance Max, Search, Demand Gen, Display, Shopping, Video)
- Check Power Pack presence: Has PMax? Has Demand Gen? Has AI Max for Search features?
- Analyze campaign balance: Calculate % of spend and conversions per campaign type; identify over-reliance
- Check for PMax conflicts: Is PMax capturing brand traffic? Competing with standard Shopping?
- Evaluate AI adoption: Smart Bidding rate, RSA adoption, automated targeting features
Thresholds
| Condition | Severity |
|---|---|
| No Performance Max campaigns | Warning |
| PMax > 70% of spend (over-reliance) | Warning |
| Manual bidding used | Warning |
| No Demand Gen campaigns | Info |
| Standard Shopping alongside PMax (potential overlap) | Info |
Output
Use Short format by default. Use Detailed if user requests comprehensive analysis.
Short:
## Power Pack Assessment
**Account:** [Name] | **Campaign Types:** [X] | **AI Adoption:** [Y]%
### Critical ([Count])
- (None expected - Power Pack issues are typically Warnings)
### Warnings ([Count])
- **No Performance Max**: Missing full-funnel automation → Create PMax campaign
- **PMax over-reliance**: [X]% of spend → Diversify campaign types
- **Manual bidding**: [X] campaigns → Migrate to Smart Bidding
### Recommendations
1. Implement Power Pack structure: PMax (45-55%) + AI Max Search (30-40%) + Demand Gen (10-15%)
2. Enable AI Max on [X] Search campaigns
3. Create Demand Gen campaign for upper-funnel coverage
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.
- 10d ago First seen · 86 lines · 33 tokens per session scan A c31202ec0f02
skill-011-power-pack-assessment is a skill published in the GitHub repository TrueClicks/claude-plugins (2 stars, last pushed 2mo ago), licensed MIT. It adds 33 tokens to every session and 724 once invoked, about $0.0002 per session on Opus 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 2026-08-31.
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