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-mosaic-grid-revealgit 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-mosaic-grid-reveal)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/render-mosaic-grid-reveal"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/render-mosaic-grid-reveal/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-mosaic-grid-reveal"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/render-mosaic-grid-reveal.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 | $0.00132 | $0.01241 |
| Opus 5.5 | $0.00053 | $0.00496 |
| Sonnet 5.5 | $0.00026 | $0.00248 |
| Haiku 4.5 | $0.00013 | $0.00124 |
Grade A, and why
render-mosaic-grid-reveal 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 2d 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 — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
render-mosaic-grid-reveal
Render the mosaic-grid-reveal format from a config. The signature of this format is a
full-bleed N×N mosaic (default 3×3) of the brand's real product stills that pops in
one tile at a time (scatter order, ease-out-back "pop"), building the whole grid; the grid
then clears (scale-up + fade) and a clean end card builds line-by-line — the brand's
real wordmark, then a small sub-label, then the tagline, then a CTA. Silent by design (a
light music bed is muxed separately via create-music-elevenlabs). The hook is RANGE — nine
maximally-distinct variants show how much choice the brand offers.
Everything is a real-DOM HTML scene frame-stepped to PNG via Playwright and encoded with FFmpeg, so the wordmark, tile captions, and CTA stay pixel-crisp (a video model would smear them). No generative video, no i2v, no AI-rendered text. This capability is FREE and deterministic — the only paid step of the format (the music bed) is a separate media cap.
Inputs (config.json)
width,height,fps— canvas + frame rate (default 1080×1920, 30).wordmark— brand logo SVG (full<svg>or bare<path>markup) or PNG path. Real DOM, recolored viapalette.ink. Never AI-render it.wordmark_viewbox,wordmark_widthtune it.palette—bg(page colour; the demo used a warm off-white),accent+accent_deep(brand color),ink,cap.grid—cols/rows(default 3×3),inset(outer margin),gap.tiles— one per cell (length must equalcols*rows):image(real variant still),name(caption),bg(tile colour, fromchoices.tile_look— the demo used a soft pastel echoing each variant),ink(deep caption color).pop_order— scatter order across cells (default corners → center → edges).timing—grid_in0,cadence,pop,hold,clear(seconds).end_card—sub,tagline_top,tagline_bottom(bold),cta,url. Brand's own approved copy only.eyebrow— optional top kicker held during the grid.
What ships with it
6 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.
- 2d ago Changed 6555a7480d07
- 28d ago Changed · +9 lines 7b1089658985
- 1mo ago First seen · 59 lines · 132 tokens per session scan A 7af00e2d66f2
render-mosaic-grid-reveal is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,271 stars, last pushed yesterday), licensed MIT. It adds 132 tokens to every session and 1,241 once invoked, about $0.0005 per session on Opus 5.5. 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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