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-002-brand-nonbrand-splitgit 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-002-brand-nonbrand-split)<a href="https://agentmods.dev/skills/trueclicks/claude-plugins/skill-002-brand-nonbrand-split"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-002-brand-nonbrand-split/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-002-brand-nonbrand-split"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-002-brand-nonbrand-split.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 | $0.00027 | $0.00677 |
| Opus 5 | $0.00014 | $0.00338 |
| Sonnet 5 | $0.00005 | $0.00135 |
| Haiku 4.5 | $0.00003 | $0.00068 |
Grade A, and why
skill-002-brand-nonbrand-split 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 — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill 002: Brand vs. Non-Brand Campaign Split
Purpose
Ensure branded and non-branded keywords live in separate campaigns with independent budgets and targets. Branded terms inflate CTR and conversion metrics, masking true acquisition performance and distorting Smart Bidding signals.
Data Requirements
Data Source: Standard
Standard Data:
data/account/campaigns/*/campaign.md- Campaign names and settingsdata/account/campaigns/*/*/keywords.md- All keywords with match typesdata/account/campaigns/*/negative_keywords.md- Campaign negative keywordsdata/performance/campaigns/*/*/search_terms_metrics_30_days.md- Search queriesdata/account/account_summary.md- Brand name identification
Reference GAQL:
SELECT
campaign.name,
ad_group.name,
ad_group_criterion.keyword.text,
ad_group_criterion.keyword.match_type,
metrics.impressions,
metrics.clicks,
metrics.cost_micros,
metrics.conversions
FROM keyword_view
WHERE ad_group_criterion.status = 'ENABLED'
AND segments.date DURING LAST_30_DAYS
Use /google-ads:get-custom if you need different date ranges or to include search term data.
Analysis Steps
- Identify brand terms: Extract brand name from account summary; generate variations including misspellings and abbreviations
- Classify keywords: Scan all keywords.md files and categorize each as Brand, Non-Brand, or Competitor
- Check campaign separation: Flag campaigns containing BOTH brand and non-brand keywords
- Analyze search term leakage: Find brand searches triggering non-brand campaigns and vice versa
- Evaluate negative protection: Check if non-brand campaigns have brand terms as negatives
Thresholds
| Condition | Severity |
|---|---|
| Mixed brand/non-brand keywords in same campaign | Critical |
| Brand search terms in non-brand campaigns (>5% of traffic) | Warning |
| No brand negatives in non-brand campaigns | Warning |
| Brand campaign without "brand" in name | 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.
- 8d ago First seen · 80 lines · 27 tokens per session scan A 9c904759a5ac
skill-002-brand-nonbrand-split is a skill published in the GitHub repository TrueClicks/claude-plugins (2 stars, last pushed 2mo ago), licensed MIT. It adds 27 tokens to every session and 677 once invoked, about $0.0001 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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