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 create-video-seedance-2-falgit 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/create-video-seedance-2-fal)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/create-video-seedance-2-fal"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/create-video-seedance-2-fal/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/create-video-seedance-2-fal"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/create-video-seedance-2-fal.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 4 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 49 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 111 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- medium Rogue Agent · line 76 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Data Exfiltration · line 81 Data is uploaded to cloud storage (S3 / GCS / Azure Blob). This may be a legitimate backup or exfiltration to an external bucket. Manual review is recommended.Fix: Verify the destination bucket is trusted and owned by you. Never upload credentials, secrets, or workspace contents to external or unverified cloud storage.
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 | $0.00117 | $0.05435 |
| Opus 5 | $0.00059 | $0.02717 |
| Sonnet 5 | $0.00023 | $0.01087 |
| Haiku 4.5 | $0.00012 | $0.00543 |
Grade A, and why
create-video-seedance-2-fal 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.
5. `curl -sSL -o <output>.mp4 "<extracted-mp4-url>"` to grab the file. Zero extra cost. How it starts
The opening of the file, as written. The whole thing — 251 lines — stays where its author put it; the contents beside it link to each section on GitHub.
create-video-seedance-2-fal
⚠️ REQUIRED PREFLIGHT (2026-06-04): every Seedance prompt that names a branded product MUST be paired with a real reference image of that exact product as one of the
--image-refinputs. Text-only product description without a ref invites Seedance to invent geometry that does not match the real SKU. If no reference exists locally, find one via brand-assets → existing-ads → PDP harvest → promote toclients/<brand>/brand-assets/reference-photos/. Optionally clean an occluded ref via a quick GPT-image-2 edit pass first. Always get user review of the reference + final prompt before firing the paid call. Seefeedback_product_reference_required.md.
Purpose
Wraps the FAL endpoint bytedance/seedance-2.0/reference-to-video. Pass 1-N image references (typically: portrait + product + optional setting) + a structured prompt → get back a 4-15s clip with native lip-synced VO and ambient audio.
Seedance 2.0 renders multiple internal cuts within a single 15s call when the prompt specifies sub-scene structure (e.g. WIDE HOOK / PRODUCT HERO / SIDESTEP / REACTION). This is the architectural win over the older NB2 + i2v multi-keyframe approach — fewer calls, native lip-sync, no Soul ID required.
Use this atom when:
- The clip needs a talking-head avatar reviewing or demonstrating a product
- Native lip-synced dialogue is required (set
--generate-audio) - Identity must hold via image reference, not video reference (see Decision Rule 1)
- Length 4-15s, vertical 9:16 (or other aspect ratios)
- Multi-image conditioning (face + product, or face + multiple products for a hook scene)
Do NOT use for:
-
15s clips → split across multiple calls and stitch (
assembly/stitch-videos-ffmpeg) - Pure cinematic camera moves without an on-screen person →
create-video-veo3is often better - Product-only B-roll with no person →
create-product-videos-higgsfield-msor text-to-video Seedance - Clips that need video reference for continuity from a prior AI-gen scene → not supported (content_policy_violation)
What ships with it
8 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 First seen · 251 lines · 117 tokens per session scan A 283bf0072072
create-video-seedance-2-fal is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,202 stars, last pushed 11d ago), licensed MIT. It adds 117 tokens to every session and 5,435 once invoked, about $0.0006 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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