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-003-naming-convention-consistencygit 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-003-naming-convention-consistency)<a href="https://agentmods.dev/skills/trueclicks/claude-plugins/skill-003-naming-convention-consistency"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-003-naming-convention-consistency/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-003-naming-convention-consistency"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-003-naming-convention-consistency.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 | $0.00570 |
| Opus 5 | $0.00014 | $0.00285 |
| Sonnet 5 | $0.00005 | $0.00114 |
| Haiku 4.5 | $0.00003 | $0.00057 |
Grade A, and why
skill-003-naming-convention-consistency 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill 003: Campaign Naming Convention Consistency
Purpose
Audit naming conventions across all campaigns, ad groups, and labels for a standardized taxonomy. Inconsistent naming makes reporting unreliable, cross-account management chaotic, and automation rules fragile.
Data Requirements
Data Source: Standard
Standard Data:
data/account/campaigns/*/campaign.md- All campaign namesdata/account/campaigns/*/*/ad_group.md- All ad group names
Reference GAQL:
SELECT
campaign.id,
campaign.name,
campaign.advertising_channel_type
FROM campaign
WHERE campaign.status != 'REMOVED'
Use /google-ads:get-custom if you need to include labels or additional metadata.
Analysis Steps
- Extract all entity names: List all campaign and ad group names from the data files
- Detect naming patterns: Identify delimiters (-, _, |, /) and common segments (Region, Product, Network, Match Type)
- Analyze consistency: Group by detected pattern, calculate percentage using each, flag outliers
- Check for problems: Very long names (>100 chars), special characters, duplicates, non-descriptive names ("Campaign 1", "Test")
- Recommend taxonomy: Suggest format based on majority pattern or best practice
Thresholds
| Condition | Severity |
|---|---|
| Consistency score < 50% | Critical |
| Duplicate campaign/ad group names | Critical |
| Consistency score < 80% | Warning |
| Non-descriptive names ("Test", "Campaign 1") | Warning |
| Name > 100 characters | Info |
Output
Use Short format by default. Use Detailed if user requests comprehensive analysis.
Short:
## Naming Convention Audit
**Account:** [Name] | **Analyzed:** [X] campaigns, [Y] ad groups | **Consistency:** [Z]%
### Critical ([Count])
- **Duplicate names:** "[Name]" appears [X] times → Rename to differentiate
### Warnings ([Count])
- **[Entity]**: Non-descriptive name → Rename to [Suggested]
### Recommendations
1. Adopt format: [Region]_[Brand/NB]_[Product]_[Network]
2. Rename [X] non-conforming entities
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 · 72 lines · 27 tokens per session scan A 0bc56722eeb2
skill-003-naming-convention-consistency 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 570 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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