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-vo-anchored-motion-listiclegit 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-vo-anchored-motion-listicle)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/render-vo-anchored-motion-listicle"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/render-vo-anchored-motion-listicle/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-vo-anchored-motion-listicle"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/render-vo-anchored-motion-listicle.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 | $0.00216 | $0.01336 |
| Opus 5 | $0.00108 | $0.00668 |
| Sonnet 5 | $0.00043 | $0.00267 |
| Haiku 4.5 | $0.00022 | $0.00134 |
Grade A, and why
render-vo-anchored-motion-listicle 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.
How it starts
The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
render-vo-anchored-motion-listicle
Assemble an expert/educator motion-graphic listicle ad from a config: an authoritative spoken
voiceover carries a numbered listicle (hook + N points + CTA) and every visual beat is anchored to
the VO's word-level timestamps. Each beat is a web-animated hyperframe (an HTML page + the Web
Animations API driven by window.renderAt(t)) rendered to video frame-by-frame with Playwright, all
in ONE branded design system (alternating background tiles, big hero numerals, body type, decorative
SVG accents, glass-pill callouts). Periodic color-graded B-roll windows give visual breath, and
captions burn only on the B-roll windows. The shipped master is pure motion-graphic + VO — there
is NO lipsync (the still expert headshot is kept only for a future lipsync variant). This capability
is the FREE, deterministic assembly — the Playwright beat render, the ffmpeg concat, the
window-masked caption burn, the VO+music mix, and the final composite.
scripts/config.example.json is the worked example (Everself "doctor-educator" listicle, ~66s
1080×1920 9:16 at 25fps); 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 spoken VO (create-vo-elevenlabs, a cloned or cast expert voice, eleven_v3 +
atempo) whose word-level timestamps (Groq whisper-large-v3 word-level) set the timeline; the low
music bed (create-music-elevenlabs); and the stock B-roll (media-proxy, trimmed + color-graded).
Given the VO + words-flat.json + the N authored hyperframe beats + the color-graded B-roll windows +
the brand wordmark SVG, render-vo-anchored-motion-listicle renders each beat frame-by-frame via
Playwright (all beats at fps 25), concats the beats + B-roll, burns the window-masked captions, mixes
the VO under the low music bed, and composites → the master. Re-cuts reuse the existing VO / beats /
B-roll and cost $0.
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 · 64 lines · 216 tokens per session scan A 3188fba89016
render-vo-anchored-motion-listicle is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,202 stars, last pushed 11d ago), licensed MIT. It adds 216 tokens to every session and 1,336 once invoked, about $0.0011 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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