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 beat-sync-reelgit 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/beat-sync-reel)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/beat-sync-reel"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/beat-sync-reel/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/beat-sync-reel"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/beat-sync-reel.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 | $0.00068 | $0.02999 |
| Opus 5 | $0.00034 | $0.01499 |
| Sonnet 5 | $0.00014 | $0.00600 |
| Haiku 4.5 | $0.00007 | $0.00300 |
Grade A, and why
beat-sync-reel scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
2. **HTML scraping with referrer** — `curl` with `-H "Referer: <site-domain>"` and a browser user-agent, then parse `<img>` tags How it starts
The opening of the file, as written. The whole thing — 264 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Beat-Sync Reel Generator
Takes product images and a trending audio track, detects beats, and produces an Instagram Reel where every image cut lands exactly on a beat. Fast, free (no API credits), and scalable.
Requirements
- Python 3 with
librosaandPillowpackages - FFmpeg installed
- yt-dlp installed (for URL/search audio input)
Input
The user provides:
-
Audio (required) — one of three formats:
- Local file path — e.g.
/path/to/trending-audio.mp3 - URL — Instagram Reel, TikTok, or YouTube link. Download with:
yt-dlp -x --audio-format mp3 -o "audio.%(ext)s" "<URL>" - Audio name — e.g. "Nashe Si Chadh Gayi". Web search for it, find a YouTube/SoundCloud source, download with yt-dlp.
- Local file path — e.g.
-
Product images (required) — one of:
- List of image file paths — local JPG/PNG files
- Product page URL — scrape images using these methods in order until one works:
- Shopify JSON — append
.jsonto the product URL and extract image URLs from the response - HTML scraping with referrer —
curlwith-H "Referer: <site-domain>"and a browser user-agent, then parse<img>tags - Chrome DevTools — navigate to the page, extract image URLs via JavaScript, download each
- Shopify JSON — append
-
Audio segment (optional) —
startandendtimestamps in seconds to use a specific portion of the audio. Defaults to 0-15s. -
Beat frequency (optional) — cut on every Nth beat. Defaults to
2(every 2nd beat, ~1.3s per image at typical tempos). Use1for fast cuts,4for slower. -
Product info (optional) — brand name, product name, price, CTA URL. Used for end card. If not provided, skip end card.
-
Style preset (optional) — for end card text. One of:
minimal,luxury,bold,editorial,clean. Defaults toclean. See Style Presets table below for font details.
Pipeline
Step 1: Resolve Audio
Based on input type:
Local file:
# Just verify it exists and get duration
ffprobe -v quiet -print_format json -show_format "audio.mp3"
What ships with it
1 file 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 First seen · 264 lines · 68 tokens per session scan A 70f3b5af3237
beat-sync-reel is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,202 stars, last pushed 11d ago), licensed MIT. It adds 68 tokens to every session and 2,999 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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