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 ckorhonen/claude-skills --skill app-marketing-copygit clone --depth 1 https://github.com/ckorhonen/claude-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/ckorhonen/claude-skills/app-marketing-copy)<a href="https://agentmods.dev/skills/ckorhonen/claude-skills/app-marketing-copy"><img src="https://agentmods.dev/badge/skills/ckorhonen/claude-skills/app-marketing-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/ckorhonen/claude-skills/app-marketing-copy"><img src="https://agentmods.dev/badge/skills/ckorhonen/claude-skills/app-marketing-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 | $0.00093 | $0.03959 |
| Opus 5 | $0.00046 | $0.01980 |
| Sonnet 5 | $0.00019 | $0.00792 |
| Haiku 4.5 | $0.00009 | $0.00396 |
Grade A, and why
app-marketing-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 12d 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 — 432 lines — stays where its author put it; the contents beside it link to each section on GitHub.
App Marketing Copy
Quick start
- Ask for missing inputs (or infer from repo/product docs):
- App name + 1-sentence value prop
- Target user + primary job-to-be-done
- 3–7 key features + 1–3 differentiators
- Desired tone (and words to use/avoid)
- Platform(s): iOS App Store, Google Play, or both
- Screenshot count and theme (if needed)
- Confirm deliverables:
- Store listing (iOS, Google Play)
- Marketing pack (landing hero, feature blurbs, CTAs, ads)
- Screenshot pack (caption copy + image-generation prompts)
- Produce 2–3 variants per high-impact field, then recommend a "best pick" with 1-sentence rationale.
Examples
Example 1: New App Store Listing
User input:
App: FocusTimer
Purpose: Pomodoro timer for students
Key features: Custom intervals, study stats, break reminders
Platform: iOS App Store
Tone: Friendly but not childish
Workflow:
- Run intake questions to clarify missing details
- Generate 3 subtitle variants, recommend best
- Create keyword set optimized for student productivity searches
- Write full description with feature bullets
- Generate 5 screenshot captions in narrative order
- Validate with
scripts/check_app_store_limits.py
Expected output:
- iOS App Store listing (all fields within limits)
- 3 subtitle options with rationale
- Keyword set (100 chars max)
- Screenshot copy pack
Example 2: Marketing Copy Refresh
User input:
"Our app store listing conversion is terrible. Help refresh it."
App: PhotoFix (photo editing)
Current problem: Generic copy, keyword-stuffed
Workflow:
- Review current listing (if provided)
- Ask: "What makes PhotoFix different from competitors?"
- Identify ASO keyword stuffing issues
- Generate 3 new subtitle variants (specific, benefit-focused)
- Rewrite full description with user benefits (not tech specs)
- Create fresh screenshot captions
- Compare before/after character counts
Expected output:
- Refactored listing with specificity
- Side-by-side comparison showing improvements
- Rationale for each change
What ships with it
3 files 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.
- 12d ago First seen · 432 lines · 93 tokens per session scan A 546c6ff5fbf7
app-marketing-copy is a skill published in the GitHub repository ckorhonen/claude-skills (14 stars, last pushed 2mo ago), licensed MIT. It adds 93 tokens to every session and 3,959 once invoked, about $0.0005 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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