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-photo-grid-cardgit 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-photo-grid-card)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/render-photo-grid-card"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/render-photo-grid-card/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-photo-grid-card"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/render-photo-grid-card.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 | $0.00129 | $0.00619 |
| Opus 5 | $0.00064 | $0.00309 |
| Sonnet 5 | $0.00026 | $0.00124 |
| Haiku 4.5 | $0.00013 | $0.00062 |
Grade A, and why
render-photo-grid-card 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.
What it actually says
render-photo-grid-card
Render the 'photo-grid promo card' format from a config. The signature of this format is a
continuously scrolling 2-row grid (NOT a static card) under a fixed header (brand
wordmark + big headline + sub) and fixed feature chips. The grid-viewport scrolls left
across the whole ~10s, edge-faded with a CSS mask, and its tiles are mixed media:
video clips playing inside tiles, band-product/photo stills, big-serif pct/off
type tiles, and a dark code (promo code) or cta tile.
The renderer itself is FREE/deterministic (Playwright frame-step + FFmpeg). The paid inputs
are separate capabilities: the tile clips come from create-video-fal (i2v of the
product heroes, or clips extracted from the brand's own ad corpus) and the music from
create-music-elevenlabs. Text (wordmark, %, code) is real DOM — never AI-rendered.
Run
build_card.py --config config.json --out hyperframe.html ; render.py --config config.json --html hyperframe.html --out master-silent.mp4 — 1080x1920, scrolling grid, deterministic, $0.
Clip tiles are driven by FRAME-SWAP, not <video>: render.py pre-extracts each clip to
PNG frames with ffmpeg, preloads them, and swaps each <img class="vidframe">'s src per
output frame. This is because Playwright's bundled Chromium can't decode <video> H.264
over file:// (open-source build, no proprietary codecs) — it hangs on canplay. Letting
ffmpeg decode makes it codec-independent AND deterministic. Provide clips longer than the
master (or the swap just loops them); a subtle setpts-slow reads as cinematic.
Contract
- Deterministic + FREE (Playwright frame-step + FFmpeg); no paid calls in this capability.
- Tiles-per-row = grid columns (
cols), NOT total tiles; the grid fills row-major. - The template recipe (DB) supplies the config; clips + music are separate capabilities.
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.
- 12d ago First seen · 35 lines · 129 tokens per session scan A 1ffee8cea3d7
render-photo-grid-card is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,202 stars, last pushed 11d ago), licensed MIT. It adds 129 tokens to every session and 619 once invoked, about $0.0006 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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