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-038-spelling-editorial-error-detectiongit 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-038-spelling-editorial-error-detection)<a href="https://agentmods.dev/skills/trueclicks/claude-plugins/skill-038-spelling-editorial-error-detection"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-038-spelling-editorial-error-detection/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-038-spelling-editorial-error-detection"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-038-spelling-editorial-error-detection.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 | $0.00029 | $0.00646 |
| Opus 5 | $0.00015 | $0.00323 |
| Sonnet 5 | $0.00006 | $0.00129 |
| Haiku 4.5 | $0.00003 | $0.00065 |
Grade A, and why
skill-038-spelling-editorial-error-detection 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 9d 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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill 038: Spelling and Editorial Error Detection
Purpose
Editorial errors trigger ad disapprovals and damage brand credibility, reducing CTR and user trust. This skill scans all ad copy for spelling mistakes, grammar errors, excessive punctuation, and capitalization violations before they cause policy issues.
Data Requirements
Data Source: Standard
Standard Data:
data/account/campaigns/*/*/ads.md- RSA headlines and descriptions
Reference GAQL:
SELECT
campaign.name,
ad_group.name,
ad_group_ad.ad.responsive_search_ad.headlines,
ad_group_ad.ad.responsive_search_ad.descriptions,
ad_group_ad.ad.final_urls,
ad_group_ad.policy_summary.approval_status
FROM ad_group_ad
WHERE ad_group_ad.status != 'REMOVED'
AND campaign.status = 'ENABLED'
Use /google-ads:get-custom if you need policy details for already-flagged ads.
Analysis Steps
- Extract all ad text: Headlines, descriptions, display URLs, paths
- Spelling check: Flag misspelled words, distinguish industry terms vs errors
- Grammar analysis: Subject-verb agreement, incomplete sentences, article usage
- Punctuation review: Excessive exclamation marks (!!!), repeated punctuation, non-standard characters
- Capitalization audit: ALL CAPS violations, gimmicky capitalization (bUy NoW), inconsistent casing
- Policy compliance check: Superlative claims without proof, prohibited symbols
Thresholds
| Condition | Severity |
|---|---|
| Spelling error in ad | Critical |
| Multiple exclamation marks (>1) | Critical |
| ALL CAPS word | Warning |
| Grammar error | Warning |
| Repeated punctuation | Warning |
Output
Short (default):
## Editorial Error Audit
**Account:** [Name] | **Ads Scanned:** [X] | **Errors:** [Y]
### Critical ([Count])
- **[Campaign] / [Ad Group]**: Headline "[text]" -> Spelling: "[error]" fix to "[correct]"
- **[Campaign] / [Ad Group]**: Description "[text]" -> Excessive punctuation "!!!" fix to "!"
### Warnings ([Count])
- **[Campaign] / [Ad Group]**: ALL CAPS "[FREE SHIPPING]" -> "Free Shipping"
### Error Summary
| Error Type | Count | Examples |
|------------|-------|----------|
| Spelling | X | "recieve", "seperate" |
| Punctuation | X | "Buy Now!!!" |
| Capitalization | X | "FREE", "BEST" |
### Recommendations
1. [Priority action]
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.
- 9d ago First seen · 82 lines · 29 tokens per session scan A 79883796fdf6
skill-038-spelling-editorial-error-detection is a skill published in the GitHub repository TrueClicks/claude-plugins (2 stars, last pushed 2mo ago), licensed MIT. It adds 29 tokens to every session and 646 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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