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 claude-office-skills/skills --skill ads-copywritergit clone --depth 1 https://github.com/claude-office-skills/skillsWrote 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/claude-office-skills/skills/ads-copywriter)<a href="https://agentmods.dev/skills/claude-office-skills/skills/ads-copywriter"><img src="https://agentmods.dev/badge/skills/claude-office-skills/skills/ads-copywriter/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/claude-office-skills/skills/ads-copywriter"><img src="https://agentmods.dev/badge/skills/claude-office-skills/skills/ads-copywriter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
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 | $0.02308 |
| Opus 5 | $0.00014 | $0.01154 |
| Sonnet 5 | $0.00005 | $0.00462 |
| Haiku 4.5 | $0.00003 | $0.00231 |
Grade A, and why
ads-copywriter 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 13d 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 — 407 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ads Copywriter
Generate high-converting ad copy for Google Ads, Meta/Facebook, TikTok, and LinkedIn with platform-specific optimization and A/B testing variants.
Platform Specifications
Google Ads
google_ads_formats:
responsive_search_ad:
headlines:
count: 15 (min 3)
max_chars: 30
requirements:
- Include keyword in 3+ headlines
- Include brand name in 2+ headlines
- Include CTA in 2+ headlines
- Include numbers/stats in 2+ headlines
descriptions:
count: 4 (min 2)
max_chars: 90
requirements:
- Expand on headline promise
- Include benefits
- Include CTA
- Include trust signals
performance_max:
headlines: 5 (30 chars each)
long_headlines: 5 (90 chars each)
descriptions: 5 (90 chars each)
display_ad:
short_headline: 25 chars
long_headline: 90 chars
description: 90 chars
Meta/Facebook Ads
meta_ads_formats:
feed_ad:
primary_text: 125 chars (visible), 500 max
headline: 40 chars
description: 30 chars
cta_options: [Learn More, Shop Now, Sign Up, Get Offer, Book Now]
stories_ad:
text_overlay: 125 chars
headline: 40 chars
reels_ad:
caption: 2200 chars max
first_line_visible: ~100 chars
TikTok Ads
tiktok_ads:
in_feed:
ad_text: 100 chars max
display_name: 40 chars
spark_ads:
caption: 150 chars recommended
hashtags: 3-5
LinkedIn Ads
linkedin_ads:
sponsored_content:
intro_text: 150 chars (mobile visible)
headline: 70 chars
description: 100 chars
message_ad:
subject: 60 chars
message: 500 chars
cta: 20 chars
Ad Copy Frameworks
AIDA Framework
Attention → Interest → Desire → Action
Example:
A: "Struggling with [problem]?"
I: "Our [product] helps [target] achieve [benefit]"
D: "[Social proof] + [Unique value]"
A: "[CTA] - [Urgency/Offer]"
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.
- 13d ago First seen · 407 lines · 27 tokens per session scan A b34021084f03
ads-copywriter is a skill published in the GitHub repository claude-office-skills/skills (465 stars, last pushed 7mo ago), licensed MIT. It adds 27 tokens to every session and 2,308 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 2026-08-30.
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