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 Gekkos-tech/agency-os --skill ad-copygit clone --depth 1 https://github.com/Gekkos-tech/agency-osWrote 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/gekkos-tech/agency-os/ad-copy)<a href="https://agentmods.dev/skills/gekkos-tech/agency-os/ad-copy"><img src="https://agentmods.dev/badge/skills/gekkos-tech/agency-os/ad-copy/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/gekkos-tech/agency-os/ad-copy"><img src="https://agentmods.dev/badge/skills/gekkos-tech/agency-os/ad-copy.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 | $0.00162 | $0.01964 |
| Opus 5 | $0.00081 | $0.00982 |
| Sonnet 5 | $0.00032 | $0.00393 |
| Haiku 4.5 | $0.00016 | $0.00196 |
Grade A, and why
ad-copy 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 11d 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ad Copy — Performance Copywriting (DE + EN)
Write conversion-focused copy for ads and landing pages in German, English, or both. Output is finished, publishable text — not concepts, not briefs.
© GEKKOS Tech. Licensed under MIT.
Before writing
Establish from the brief (infer and state assumptions if missing):
- Language(s): DE, EN, or both. If the market is DACH and the user didn't specify, default to German and offer English variants.
- Funnel stage: cold (never heard of the brand), warm (knows the problem/brand), hot (retargeting, cart, comparison shoppers).
- Voice position: locate the brand on the tonality matrix in references/tonality-matrix.md before writing a single line. State the chosen cell.
- German address form: run the Du/Sie decision tree (below) and state the decision.
- Channel + placement: determines length limits and register (see tonality matrix, platform axis).
Headline systems
Four systems. Pick the system that matches funnel stage and channel; write within it, don't mix systems inside one headline.
1. Benefit-led
Formula: [Outcome] in/ohne/without [timeframe/pain] — lead with what the customer gets, stated concretely.
- EN: "Payroll done in 4 minutes. Every month."
- DE: "Lohnabrechnung in 4 Minuten. Jeden Monat." Use for: cold traffic, search ads (matches query intent), products with a clear measurable outcome.
2. Curiosity
Formula: [Specific subject] + [information gap] — open a gap the reader can only close by clicking. Must pay off; never bait.
- EN: "The onboarding email 9 out of 10 SaaS teams get wrong."
- DE: "Der Fehler, den fast jedes Onboarding-Mailing macht." Use for: content-adjacent ads, advertorials, warm audiences. Avoid for: search (intent mismatch), regulated categories.
3. Social-proof
Formula: [Number/name of adopters] + [what they did/found].
- EN: "14,000 clinics switched. Here's why."
- DE: "14.000 Praxen sind umgestiegen. Aus gutem Grund." Use for: skeptical audiences, high-consideration B2B, retargeting. Proof must be real and current.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 108 lines · 162 tokens per session scan A d8ad39d02a31
ad-copy is a skill published in the GitHub repository Gekkos-tech/agency-os (5 stars, last pushed 2mo ago), licensed MIT. It adds 162 tokens to every session and 1,964 once invoked, about $0.0008 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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