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-video --skill animated-explainer-adgit clone --depth 1 https://github.com/gooseworks-ai/goose-videoWrote 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-video/animated-explainer-ad)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-video/animated-explainer-ad"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-video/animated-explainer-ad/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-video/animated-explainer-ad"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-video/animated-explainer-ad.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 | $0.00210 | $0.07455 |
| Opus 5 | $0.00105 | $0.03728 |
| Sonnet 5 | $0.00042 | $0.01491 |
| Haiku 4.5 | $0.00021 | $0.00745 |
Grade A, and why
animated-explainer-ad 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 11d 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 — 492 lines — stays where its author put it; the contents beside it link to each section on GitHub.
animated-explainer-ad
A guided workflow for producing animated explainer ads in the "villain-narrates-own-defeat" format. The skill is conversation-driven: the user gives a free-form prompt ("make an ad for Soteri Skin where Eczema is the villain"), and you walk them through gathering inputs, generating assets phase-by-phase, and composing the master. Each phase has a human review gate so the user catches drift before paying for downstream gen.
When to use this skill
Use when the user asks for any of:
- "Make an animated explainer ad" / "Pixar-style ad" / "cartoon ad" / "villain ad" / "absurdist explainer."
- "Like the Big Chill ad" / "like the Eczema ad" / "in that personified-problem style."
- A paid-social spot where the mechanism (pH/LOCK, adaptogen calming cortisol, dual-action cleanser) is the story.
- A 9:16 sound-off-safe ad with no on-camera talent.
Do NOT use when the user wants: photoreal product video, creator/UGC selfie cam, pure typography/data-viz motion graphics, before-after demos, or live-action footage. Reach for a different skill.
The format
The validated form, derived from two production runs (see references/case-studies.md):
- 9:16, 30–45 seconds, 10–13 scenes. Meta / TikTok / Reels feed-native.
- Bright Pixar/Disney 3D throughout — glossy, rounded, toy-like. Never photoreal.
- Single narrator voice — the personified villain. Same voice for the whole spot including the defeat. ElevenLabs
eleven_v3, ≤4 audio tags. - Roster ≤4 characters — villain + hero + 1 human victim + 1 set piece. More than 4 muddies the cause/effect chain.
- Recurring number/word motif appearing ≥3 times (teach beat, damage beat, payoff). "pH 4.9", "cortisol hormones."
- Climax beat is the product's "fix" moment, not the product appearance. Music resolves on the climax.
- Real product on the end card. PIL-composited from a real photo. Never an AI-rendered cartoon bottle.
- Brand text is never AI-rendered. Wordmark, claims, end-card copy, diegetic labels (
pH 4.9,MOISTURE BARRIER) are PIL or ffmpegdrawtextoverlays. - Burned word-by-word captions via libass.
- Whimsical Pixar/Disney instrumental score — sneaky → tense → uplift @ hero → resolved tail.
What ships with it
18 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.
- .env.example 336 B
- examples/hum-big-chill.md 3.1 KB
- examples/lumeo-dullness.md 734 B
- examples/soteri-eczema.md 2.8 KB
- README.md 7.2 KB
- references/case-studies.md 9.8 KB
- requirements.txt 83 B
- scripts/auto.sh 5.4 KB runs code
- scripts/build_endcard.py 5.5 KB runs code
- scripts/compose.sh 6.1 KB runs code
- scripts/lib.py 2.2 KB runs code
- scripts/make_captions.py 2.9 KB runs code
- scripts/measure_vo.py 2.7 KB runs code
- scripts/render_anchor.py 3.3 KB runs code
- scripts/render_clip.py 4.8 KB runs code
- scripts/render_keyframe.py 3.9 KB runs code
- scripts/render_music.py 2.2 KB runs code
- scripts/render_vo.py 3.7 KB runs code
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.
- 11d ago First seen · 492 lines · 210 tokens per session scan A 3bfe2a3c2bbb
animated-explainer-ad is a skill published in the GitHub repository gooseworks-ai/goose-video (16 stars, last pushed 2mo ago), licensed MIT. It adds 210 tokens to every session and 7,455 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.
Other skills, from other repositories
webgl-holographic-foil
A self-contained WebGL2 hero: thin-film interference over a crushed-foil surface whose palette shifts with the viewing angle; move the cursor to tilt the film.
general-video
Author or edit a custom HyperFrames composition when no specialized workflow fits, or when BRIEF.md sets flow: companion. Use for longer or multi-scene pieces, brand and sizzle reels, montages, static loops, static title cards, footage remixes, and freeform builds. Use motion-graphics instead for a short unnarrated…
html-ppt-hermes-cyber-terminal
OpenDesign + BYOK: choosing and wiring your own model, hands-on — cost, quality, and the routing decision. Built as a decision-grade AI literacy deck for engineers, IT, applied-AI teams.
html-ppt-taste-brutalist
16:9 HTML deck in tactical-telemetry / CRT-terminal taste. Deactivated-CRT charcoal slides, white-phosphor monospace, hazard-red accent, scanline overlay, ASCII syntax, density over decoration. Distilled from Leonxlnx/taste-skill brutalist-skill (Tactical Telemetry mode).
chengfeng-check-updates
An environment manager for a video-editing system. It checks whether its skills and runtime—the software needed to run them—are installed and compatible.
diagnostic-stem-delivery
Audio production with diagnostic analysis, timecode parsing from documents, and verified export workflow.