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-001-campaign-type-separationgit 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-001-campaign-type-separation)<a href="https://agentmods.dev/skills/trueclicks/claude-plugins/skill-001-campaign-type-separation"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-001-campaign-type-separation/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-001-campaign-type-separation"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-001-campaign-type-separation.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 | $0.00598 |
| Opus 5 | $0.00016 | $0.00299 |
| Sonnet 5 | $0.00007 | $0.00120 |
| Haiku 4.5 | $0.00003 | $0.00060 |
Grade A, and why
skill-001-campaign-type-separation 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 8d 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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill 001: Campaign Type Separation
Purpose
Verify that Search, Display, Shopping, Video, and Performance Max campaigns are never mixed in ways that compromise optimization signals. Mixing network types prevents accurate performance analysis and dilutes bidding signals.
Data Requirements
Data Source: Standard
Standard Data:
data/account/campaigns/*/campaign.md- Campaign settings including type, network settings
Reference GAQL:
SELECT
campaign.id,
campaign.name,
campaign.advertising_channel_type,
campaign.advertising_channel_sub_type,
campaign.network_settings.target_google_search,
campaign.network_settings.target_search_network,
campaign.network_settings.target_content_network,
campaign.status
FROM campaign
WHERE campaign.status != 'REMOVED'
Use /google-ads:get-custom if you need additional fields or different filters.
Analysis Steps
-
Load all campaign files:
- Read each
campaign.mdfile fromdata/account/campaigns/*/ - Extract: Campaign Name, Type, Network Settings, Status
- Read each
-
Classify campaigns by type:
- SEARCH: Standard Search campaigns
- DISPLAY: Display Network campaigns
- SHOPPING: Standard Shopping campaigns
- VIDEO: YouTube/Video campaigns
- PERFORMANCE_MAX: PMax campaigns
- DISCOVERY/DEMAND_GEN: Discovery/Demand Gen campaigns
-
Check for network mixing issues:
- Search campaigns with Display Network enabled (target_content_network = true)
- Search campaigns with Search Partners enabled (may dilute signals)
- Unclear or hybrid campaign configurations
-
Identify naming inconsistencies:
- Campaign names that don't reflect their actual type
- Mixed signals in naming vs configuration
Thresholds
| Condition | Severity |
|---|---|
| Search campaign with Display Network enabled | Critical |
| Search campaign with Search Partners enabled | Warning |
| Campaign name doesn't match actual type | Info |
Output
Use Short format by default. Use Detailed if user requests comprehensive analysis.
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.
- 8d ago First seen · 88 lines · 33 tokens per session scan A a94dc59d5c3f
skill-001-campaign-type-separation 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 598 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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