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 rshankras/claude-code-apple-skills --skill announcement-bannergit clone --depth 1 https://github.com/rshankras/claude-code-apple-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/rshankras/claude-code-apple-skills/announcement-banner)<a href="https://agentmods.dev/skills/rshankras/claude-code-apple-skills/announcement-banner"><img src="https://agentmods.dev/badge/skills/rshankras/claude-code-apple-skills/announcement-banner/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/rshankras/claude-code-apple-skills/announcement-banner"><img src="https://agentmods.dev/badge/skills/rshankras/claude-code-apple-skills/announcement-banner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 174 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00043 | $0.02212 |
| Opus 5 | $0.00022 | $0.01106 |
| Sonnet 5 | $0.00009 | $0.00442 |
| Haiku 4.5 | $0.00004 | $0.00221 |
Grade A, and why
announcement-banner 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 — 287 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Announcement Banner Generator
Generate a configurable in-app announcement/banner system that displays contextual messages (maintenance alerts, new feature highlights, promotions) from remote config or local definitions. Supports dismissal, deep link actions, and scheduling.
When This Skill Activates
Use this skill when the user:
- Asks to "add announcement banner" or "in-app banner"
- Wants "app announcement" or "notification banner"
- Mentions "promotional banner" or "promo banner"
- Asks about "maintenance notice" or "maintenance alert"
- Wants "in-app messaging" or "contextual banners"
- Asks to "show announcements" or "display alerts to users"
- Mentions "feature highlight banner" or "what's new banner"
Pre-Generation Checks
1. Project Context Detection
- Check Swift version (requires Swift 5.9+)
- Check deployment target (iOS 16+ / macOS 13+)
- Check for @Observable support (iOS 17+ / macOS 14+)
- Identify source file locations
2. Conflict Detection
Search for existing banner/toast code:
Glob: **/*Banner*.swift, **/*Announcement*.swift, **/*Toast*.swift, **/*InAppMessage*.swift
Grep: "AnnouncementBanner" or "InAppBanner" or "ToastView" or "BannerView"
If third-party library found (Firebase In-App Messaging, Braze, Intercom):
- Ask if user wants to replace or keep it
- If keeping, don't generate — advise on integration patterns instead
3. Deep Linking Detection
Check for existing deep linking setup:
Grep: "deepLink" or "DeepLink" or "universalLink" or "openURL" or "onOpenURL"
If deep linking exists, integrate with it. If not, generate standalone action handling.
Configuration Questions
Ask user via AskUserQuestion:
-
Banner position?
- Top (slides in from top) — recommended for alerts
- Bottom (slides in from bottom)
- Floating (centered overlay with dimmed background)
-
Content source?
- Local only (hardcoded announcements in code)
- Remote JSON (fetch from server endpoint)
- Both (remote with local fallbacks) — recommended
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 · 287 lines · 43 tokens per session scan A 73ce8d80fdeb
announcement-banner is a skill published in the GitHub repository rshankras/claude-code-apple-skills (719 stars, last pushed 1mo ago), licensed MIT. It adds 43 tokens to every session and 2,212 once invoked, about $0.0002 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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