Goose Skills is a library of workflows and data APIs that lets coding agents handle growth and go-to-market work such as advertising, social media, content, SEO, lead generation, and customer research. It is intended for teams using Claude Code, Cursor, Codex, and similar agents. The catalogue entries are its reusable skills.
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 gooseworks-ai/goose-skills --skill render-imessage-cascadegit clone --depth 1 https://github.com/gooseworks-ai/goose-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/gooseworks-ai/goose-skills/render-imessage-cascade)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/render-imessage-cascade"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/render-imessage-cascade/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/gooseworks-ai/goose-skills/render-imessage-cascade"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/render-imessage-cascade.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector 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 | $0.00153 | $0.01022 |
| Opus 5 | $0.00077 | $0.00511 |
| Sonnet 5 | $0.00031 | $0.00204 |
| Haiku 4.5 | $0.00015 | $0.00102 |
Grade A, and why
render-imessage-cascade 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 — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
render-imessage-cascade
The free, deterministic renderer for the imessage-notification-cascade video ad format — the viral iOS trend where a phone sits on a desk and Apple Messages notifications STACK IN one after another. The signature mechanic is the bottom-up push: each new banner springs in at the bottom (nearest the phone) and shoves every existing one UP a row; the iOS grouped "⌄ Show less / ✕" pill rides above the stack; the ✕ clears the stack; then a serif end card resolves.
This is a DETERMINISTIC composite — no generative video of the UI. Authentic
iMessage banners are drawn in PIL and animated in FFmpeg over a Ken-Burns plate, so
the notification text + wordmark stay pixel-crisp (a video model would smear type).
The template recipe supplies the per-brand plate, notifications, and end_card
config and gates the only paid steps — cleaning the plate (→ create-image-fal) and
the music bed/pop (→ create-music-elevenlabs) — to their own capabilities. This
capability itself makes no paid calls.
Scripts (free)
scripts/build_assets.py— draws the assets fromconfig:nb-1..N.png(authentic banners — green Messages icon, warm translucent-greige fill, soft box-shadow, title/body/NOW/handle),pill.png(right-aligned "⌄ Show less / ✕"),endcard.png(serif CTA + wordmark lockup + url). Fonts are load-bearing: SF Pro (SFNS.ttf) viaset_variation_by_namefor the banner title/body/NOW/handle (Arial fallback), Times/serif for the end-card CTA. Do NOT swap in Helvetica/Arial as the primary — the banners must read as the real iOS system font.scripts/compose.py— Ken-Burns push-in on the plate → each banner springs in at the BOTTOM while later arrivals push the stack UP (FFmpeg overlayyexpressions) → pill rides above → ✕-clear swipes the stack up + fades → serif end card fades in → optional audio (bed + pop per arrival + a free FFmpeg swoosh on the clear) → encode h264 + aac.scripts/config.example.json— the shape of the brandconfigthe recipe binds.
What ships with it
5 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.
- 13d ago First seen · 60 lines · 153 tokens per session scan A 092576fca7c0
render-imessage-cascade is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,202 stars, last pushed 11d ago), licensed MIT. It adds 153 tokens to every session and 1,022 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 2026-08-30.
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