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 compose-creator-layergit 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/compose-creator-layer)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/compose-creator-layer"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/compose-creator-layer/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/compose-creator-layer"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/compose-creator-layer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00136 | $0.00877 |
| Opus 5.5 | $0.00054 | $0.00351 |
| Sonnet 5.5 | $0.00027 | $0.00175 |
| Haiku 4.5 | $0.00014 | $0.00088 |
Grade A, and why
compose-creator-layer 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 9d 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 — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
compose-creator-layer
Run
python compose.py --layer layer.mp4 --beats cutlist.aligned.json --creator creator.mp4 \
--out reel.mp4 [--music bed.mp3 --music-db -20] [--head 0.30] \
[--zoom 1.15] [--divider '#RRGGBB' --divider-px 4]
--layer:footage-cutlistcut.pyoutput rendered from the same cut list as--beats(re-render it afteralign_beats.py).--draftlayers are refused.--creator:create-creator-takes-h3join_takes.pyoutput, reel time from 0.--audio creator|music|none: the voice (+ ducked--music), the--musicbed alone (voiceless paid ads), or a silent master (organic posts: the track is added in-platform at upload, which is licensed for organic use only).- The creator track may be shorter than the reel (a 2.3s reaction hook): it only shows
during its own
creatorbeats. --head: where the crop sits vertically when the creator is scaled to cover an area (0 keeps the top, 0.5 centres). 0.30 keeps the head in the upper third.
Split screen
The split-screen creator look (product on top, the creator talking below) is this atom with split beats; it replaces render-split-screen-creator.
- The product zone comes from the layer: in the footage-cutlist cut list set the
seam(even, about 52% of the height for product on top) andcreator_side: "bottom", fit each 16:9 product clip bywidth, and setbg: "blur"so the margins are a darkened blur of the same clip, never black bars. Window each clip to the moment that proves its line; never loop a short clip. - The creator zone:
--zoom 1.15to1.2with--headpushes a webcam-distance take in to head and shoulders. Tune it by eye against the reference; a re-run is free. Zoom cannot rescue a take shot too close, so the creator still should be a candid medium shot (chest up, real room), not a plain-background headshot. - The seam:
--divider '#RRGGBB'draws a brand-colour bar centred on the seam (default 4 px, even) on split beats only. - Audio: the creator's voice is the whole bed; leave out
--musicfor this look.
What ships with it
4 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.
- 9d ago Changed · +19 lines · +11 tokens per session 611f7926bdf5
- 19d ago First seen · 36 lines · 125 tokens per session scan A 5e4df14e5b82
compose-creator-layer is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,254 stars, last pushed today), licensed MIT. It adds 136 tokens to every session and 877 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 2026-09-29.
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