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-stopmotion-hand-swatch-cyclegit 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-stopmotion-hand-swatch-cycle)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/render-stopmotion-hand-swatch-cycle"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/render-stopmotion-hand-swatch-cycle/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-stopmotion-hand-swatch-cycle"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/render-stopmotion-hand-swatch-cycle.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 | $0.00245 | $0.01199 |
| Opus 5 | $0.00122 | $0.00600 |
| Sonnet 5 | $0.00049 | $0.00240 |
| Haiku 4.5 | $0.00024 | $0.00120 |
Grade A, and why
render-stopmotion-hand-swatch-cycle 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 — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
render-stopmotion-hand-swatch-cycle
Assemble a stop-motion hand-swatch-cycle ad from a config: a fast, tactile product demo where a single hand swipes ONE cosmetic barrel across a cream "skin-patch" test surface, and the shade of the barrel AND the painted swatch stripe changes on every frame while the hand, background, crop, and lighting hold still — cycling the variant family so the viewer self-identifies their match, then a hero-pick payoff and a branded end card. This capability is the FREE, deterministic assembly — the per-plate PNG→mp4 loop encode, the concat-demux, the end-card render, and the music mux.
scripts/config.example.json is the worked example (DIBS Beauty "Pick Your Match", ~16.6s 1080×1920
9:16, ~24 cycle plates + finale beats + a 3s end card); scripts/PIPELINE.md maps every config
block to its source step and scripts/README.md documents the free assembly.
Run
This is the FREE, deterministic assembly stage — it spends nothing. The paid inputs are separate
capabilities — the master-anchor plate + the per-shade / motion / finale plates + the end-card hero
BG (create-image-gpt-image-fal, gpt-image-2 EDIT mode, each plate anchored to the SAME
master-anchor — never chained), and the music track (create-music-elevenlabs, or a brand-supplied
mp3). Given the ordered plate PNGs + per-plate holds + the end-card hero BG + the brand logo SVG +
the music track, render-stopmotion-hand-swatch-cycle loop-encodes each plate at its hold,
concat-demuxes with hard cuts into a silent master, appends the HTML-rendered end card, and muxes the
music under it → the master. Re-cuts (re-timed holds, a re-ordered cycle, a swapped end card) reuse
the existing plates / track and cost $0.
Contract (the free assembly)
- Still plates, not i2v — held for tuned durations. Each plate is a static PNG loop-encoded
(
ffmpeg -loop 1 -t <pose_hold_ms>) to 1080×1920 @ 30fps crf18. This is stop-motion — discrete held frames, no camera moves, no character animation. Do not animate the plates. - Fast stop-motion cadence, HARD cuts. Motion / half-painted plates hold 150–250ms, per-shade
plates ~380ms (or ~1000ms for a slower cycle), hero / bookend beats 1100–1800ms; average ~380ms.
Concat-demux the plate mp4s in order with hard cuts (
ffmpeg -f concat) — NO dissolves. The frame-swap tactility is the whole point; a crossfade erases it. - Concat-demux, not filter_complex. The plates are silent stills, so the
concatdemuxer over the ordered plate list is correct and cheapest. (filter_complexis only needed when clips carry mismatched audio — these don't.) - The music carries it — no VO. A pre-sourced brand instrumental (128–130 BPM works well), volume ≈0.4, fade in/out. Do not add a spoken voiceover or a second bed.
- End card via Playwright HTML from the real logo SVG — never AI-render brand text. A serif tagline + sans subtitle + the real logo SVG composited over a hero product/swatch BG by an HTML template (Chromium headless), rendered to a silent ~3s clip. A diffusion model garbles a wordmark.
- Music plays UNDER the end card with a fade tail — no silent tail. Mux the track over the whole video including the end card, fade over the last ~0.5s so the video ends WITH the music.
- FFmpeg composite, deterministic, FREE. Loop-encode each plate, concat-demux on hard cuts, append the end card, mux the music with a fade tail → a 1080×1920 h264+aac master (~16.6s). No paid calls, no keys (beyond the Playwright/Chromium the end-card render needs).
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 · 54 lines · 245 tokens per session scan A aac0b989218c
render-stopmotion-hand-swatch-cycle is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,202 stars, last pushed 11d ago), licensed MIT. It adds 245 tokens to every session and 1,199 once invoked, about $0.0012 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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