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-whiteboard-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-whiteboard-explainer)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/render-whiteboard-explainer"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/render-whiteboard-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-whiteboard-explainer"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/render-whiteboard-explainer.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 | $0.00169 | $0.01969 |
| Opus 5.5 | $0.00068 | $0.00788 |
| Sonnet 5.5 | $0.00034 | $0.00394 |
| Haiku 4.5 | $0.00017 | $0.00197 |
Grade A, and why
render-whiteboard-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 5d 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 — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
render-whiteboard-explainer
The renderer for the whiteboard video ad format: a voice explains one idea while a board fills up in marker, the way a graphic recorder works a room. Every mark lands on the word it belongs to, and the board is wiped and reused between sections.
Siblings in the chat-UI family are render-imessage-chat, render-chatgpt-chat and
render-apple-notes-chat, where a screen is the creative. Reach for this one when the creative
is someone explaining a thing by drawing it.
The three decisions that make this format work
The board is a photograph. A drawn board reads as a drawn board, and a plain white frame reads as a sketch film. Both were built and both were rejected. One generated still of a real blank whiteboard in a real room is the plate, and the ink is multiplied onto it so the surface sheen and the window light come through the strokes rather than sitting on top as flat black. The handheld drift is generated over both layers at once, so nothing can slide against anything.
The drawings are generated as line art, then traced. Do not hand-code them, and do not trace painterly images. Art traced from a photograph carries every contour the photograph had and reads as clip-art; art generated as a marker drawing traces to a handful of confident paths. An open hand came back as a single continuous stroke. Chain each generation off the first so the line weight matches across the set.
There is no colour. Black marker throughout. Do not add an accent.
Choices
The recipe asks these before any paid step; this renderer only draws what the beats say.
- the script — what the narrator says. Everything downstream is anchored to its word timings, so it is settled first and never changed afterwards.
- the beats — for each moment, what is SAID and what is DRAWN. A row of text, a drawing, or both. One number can be marked as the hero, which letters it large instead of as another row.
- the title and subtitle — lettered on the first board.
- the payoff — the closing line, lettered on the last board, with a ring closing around the claim it refers to.
- the boards — how many times the board is wiped and reused. Three suits a half-minute.
The split is automatic. To set it by hand, put
"new_board": trueon the beat that should open a board; any such mark turns the automatic split off. Use it when the split puts a line on the wrong board, such as the brand name landing on the problem board.
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.
- assets/fonts/NOTICE.md 740 B
- assets/fonts/PermanentMarker-Regular.ttf 73 KB
- assets/fonts/TitanOne-Regular.ttf 51 KB
- scripts/anchors.py 1.9 KB runs code
- scripts/beats.example.json 2.1 KB
- scripts/gen-art.py 6.4 KB runs code
- scripts/gen-voice.py 5.2 KB runs code
- scripts/illos.py 16 KB runs code
- scripts/lettering.py 12 KB runs code
- scripts/make-episode.py 5.9 KB runs code
- scripts/master.py 4.4 KB runs code
- scripts/media_proxy.py 56 KB runs code
- scripts/prep-plate.py 5.8 KB runs code
- scripts/render.py 17 KB runs code
- scripts/solve-layout.py 12 KB runs code
- scripts/trace.py 6.2 KB runs code
- skill.meta.json 549 B
- tests/test_whiteboard_portable.py 2.4 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.
- 5d ago Changed · +14 lines 83f5665c308e
- 15d ago Changed · +2 lines 1fc6696e1458
- 16d ago First seen · 120 lines · 169 tokens per session scan A 04257831ac78
render-whiteboard-explainer is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,254 stars, last pushed today), licensed MIT. It adds 169 tokens to every session and 1,969 once invoked, about $0.0007 per session on Opus 5.5. 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 2026-10-02.
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