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-absurdist-explainergit 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-absurdist-explainer)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/render-absurdist-explainer"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/render-absurdist-explainer/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-absurdist-explainer"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/render-absurdist-explainer.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 | $0.00197 | $0.01651 |
| Opus 5 | $0.00098 | $0.00826 |
| Sonnet 5 | $0.00039 | $0.00330 |
| Haiku 4.5 | $0.00020 | $0.00165 |
Grade A, and why
render-absurdist-explainer 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 12d 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 — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
render-absurdist-explainer
The free, deterministic renderer for the absurdist-explainer video ad format — the bright Pixar/Disney 3D spot where a personified villain (the problem) narrates the whole ad in one voice, teaches the product's ownable mechanism through cartoon biology, lists the damage, then watches its own scheme collapse when the product arrives. This capability is the FREE assembly stage only. All generative work (nano-banana keyframes, Seedance i2v clips, ElevenLabs VO + music) happens upstream in the recipe and is handed to this capability as files.
It ports the validated compose recipe from two reference runs (HUM "Big Chill" cortisol absurdism and Soteri "Eczema, the pH villain"). The recipe is deterministic — iterate the cut for free, re-roll only the offending paid beat.
What it does (the deterministic recipe)
- Per-scene retime. Each i2v clip is retimed to its measured VO window
(
scale=1080:1920:force_original_aspect_ratio=increase,crop=1080:1920,fps=30,setsar=1, thentpad=stop_mode=cloneif the VO is longer than the clip, else-ttrim). - Identical re-encode. Every segment is re-encoded
libx264 -crf 18 -pix_fmt yuv420p -r 30even if already correct — a framerate mismatch makes the concat demuxer silently drop frames. - Concat all scene segments + the end card via the concat demuxer (
-c copy). - Real-product end card.
build_endcard.pycomposites the REAL retail product photo over the brand palette (flat, or sampled from the photo's own edge pixel) with a typeset wordmark + claim rows + CTA pill in PILImageDraw.text— never an AI cartoon bottle, never AI-rendered brand text.compose.pyKen-Burnses it 1.00 → 1.04 over the dwell. - Mix. VO bus
loudnorm I=-14 TP=-1.5, music busloudnorm I=-26 TP=-3thenvolume=0.62,amix inputs=2 duration=first normalize=0→ master lands at -14.5..-13.5 LUFS with the music ducked under the VO. - Captions last.
make_captions.pyemits a libass.ass(one cue per scene, Arial 64 white / 6px outline / MarginV=330,start = scene_start + 0.08s, suppressed on the end card).compose.pyburns it as the final filter so captions sit on top.
What ships with it
6 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.
- 12d ago First seen · 87 lines · 197 tokens per session scan A 8b4d6d0ea312
render-absurdist-explainer is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,201 stars, last pushed 10d ago), licensed MIT. It adds 197 tokens to every session and 1,651 once invoked, about $0.0010 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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