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-cinematic-music-videogit 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-cinematic-music-video)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/render-cinematic-music-video"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/render-cinematic-music-video/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-cinematic-music-video"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/render-cinematic-music-video.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 | $0.00180 | $0.01001 |
| Opus 5 | $0.00090 | $0.00500 |
| Sonnet 5 | $0.00036 | $0.00200 |
| Haiku 4.5 | $0.00018 | $0.00100 |
Grade A, and why
render-cinematic-music-video 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-cinematic-music-video
Assemble a cinematic music-video ad from a config: a live-action-STYLE short film where an original sung anthem is the score and every visual beat is a shot-on-film tableau (Kodak Portra grain, light leaks, golden hour, handheld imperfection) timed to the lyrics, arranged as a 3-act arc (morning → peak → twilight) with the hook line on the chorus drop. This capability is the FREE, deterministic assembly — cut-to-window, hard-concat, anthem mux, caption burn, and the brand end card.
scripts/config.example.json is the worked example (Hype and Vice "Game Day Girls", ~28s
1080×1920 9:16, 14 tableaux); 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 sung anthem (create-music-elevenlabs, force_instrumental false —
the lyrics ARE the script, returns mp3 + words_timestamps); one 35mm-film keyframe per beat
in one look pack (create-image-fal); and one Kling 3.0 i2v clip per beat (create-video-fal).
Given the delivered anthem + words.json + one clip per beat + the brand end-card asset,
render-cinematic-music-video cuts each clip to its lyric window, hard-concats on the beat,
muxes the anthem, burns the cinematic lower-third captions, and overlays the end card → the
master. Re-cuts reuse the existing anthem / keyframes / clips and cost $0.
Contract (the free assembly)
- The sung anthem carries the story — no separate VO. The generated ElevenLabs track IS
the bed and the script (
force_instrumentalfalse); do not add a spoken voiceover or a second bed. - Plan the timeline AROUND the delivered anthem. The anthem is generated first and reshapes/overshoots length; snap every tableau boundary to the lyric-phrase edges in the returned word timings — never trim the anthem to a pre-planned grid.
- Captions from the anthem's OWN word timings, not Whisper. Derive
words.jsonfrom the music model'swords_timestamps, chunk ~4 words at lyric boundaries, and burn cinematic lower-third serif captions (--placement low) with the hook line accent-treated (bold-italic). Whisper on sung audio returns "🎵 Music Playing 🎵". - Land the hook on the chorus drop. The hero tableau (
is_hook) is timed so the load-bearing line sits on the chorus drop; accent that line in the captions. - One cinematic look pack + hard cuts on the beat. The look pack (named film stock + grain + flares + handheld) plus a continuity anchor holds every clip together; cut each clip to its lyric window and hard-concat (one optional match-cut into the hero reveal) — no dissolves.
- End card from the real brand asset — never AI-render the wordmark as diffusion text. Composite the lockup (PIL/ffmpeg) from the real asset or use a designed keyframe base; diffusion garbles a wordmark.
- FFmpeg composite, deterministic, FREE. Normalize each clip to its beat-locked window,
hard-concat, mux the anthem (
afadein/out +loudnorm I=-14), burn the caption ASS, overlay the end card → a 1080×1920 h264+aac master. No paid calls, no keys.
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 · 180 tokens per session scan A 6d877698fd38
render-cinematic-music-video is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,202 stars, last pushed 11d ago), licensed MIT. It adds 180 tokens to every session and 1,001 once invoked, about $0.0009 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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