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-008-label-organizational-structuregit 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-008-label-organizational-structure)<a href="https://agentmods.dev/skills/trueclicks/claude-plugins/skill-008-label-organizational-structure"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-008-label-organizational-structure/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-008-label-organizational-structure"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-008-label-organizational-structure.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 | $0.00034 | $0.00603 |
| Opus 5.5 | $0.00014 | $0.00241 |
| Sonnet 5.5 | $0.00007 | $0.00121 |
| Haiku 4.5 | $0.00003 | $0.00060 |
Grade A, and why
skill-008-label-organizational-structure 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 1mo 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill 008: Label and Organizational Structure Review
Purpose
Verify that campaigns, ad groups, keywords, and ads are properly labeled for segmentation, reporting, and automated rule targeting. Labels enable powerful automation and reporting but only if consistently applied.
Data Requirements
Data Source: Custom GAQL Required
Standard export may not include label details. Custom GAQL required for label inventory and application.
GAQL Query (label inventory):
SELECT
label.id,
label.name,
label.status
FROM label
WHERE label.status = 'ENABLED'
GAQL Query (campaign labels):
SELECT
campaign.id,
campaign.name,
campaign.labels
FROM campaign
WHERE campaign.status != 'REMOVED'
Run via /google-ads:get-custom with query names label_inventory and campaign_labels.
Analysis Steps
- Inventory all labels: List all account labels; categorize by purpose (Performance tier, Product, Region, Test, Status)
- Check label coverage: Calculate % of campaigns and ad groups with labels applied
- Assess consistency: Check for duplicates ("Priority" vs "priority"), orphaned labels (not applied anywhere)
- Evaluate taxonomy: Are labels organized by clear categories? Do they support reporting and automation?
- Identify gaps: High-spend entities without labels, new campaigns not labeled
Thresholds
| Condition | Severity |
|---|---|
| No labeling system in place (0 labels) | Critical |
| Duplicate/similar labels exist | Warning |
| Campaign label coverage < 50% | Warning |
| Orphaned labels exist | Info |
| Ad group label coverage < 30% | Info |
Output
Use Short format by default. Use Detailed if user requests comprehensive analysis.
Short:
## Label Structure Audit
**Account:** [Name] | **Labels:** [X] | **Campaign Coverage:** [Y]%
### Critical ([Count])
- **No labeling system**: 0 labels found → Implement label taxonomy
### Warnings ([Count])
- **Duplicate labels**: "[Label1]" and "[Label2]" → Consolidate
- **Low coverage**: [X] campaigns unlabeled → Apply appropriate labels
### Recommendations
1. Consolidate duplicate labels
2. Label remaining [X] campaigns
3. Delete [X] orphaned labels
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.
- 1mo ago First seen · 83 lines · 34 tokens per session scan A 47f0dfc68944
skill-008-label-organizational-structure is a skill published in the GitHub repository TrueClicks/claude-plugins (2 stars, last pushed 22d ago), licensed MIT. It adds 34 tokens to every session and 603 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 2026-08-31.
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