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-chatgpt-mockupgit 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-chatgpt-mockup)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/create-chatgpt-mockup"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/create-chatgpt-mockup/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-chatgpt-mockup"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/create-chatgpt-mockup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
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 →
- medium MCP Rug Pull · line 123 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 194 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00090 | $0.04008 |
| Opus 5.5 | $0.00036 | $0.01603 |
| Sonnet 5.5 | $0.00018 | $0.00802 |
| Haiku 4.5 | $0.00009 | $0.00401 |
Grade A, and why
create-chatgpt-mockup 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 2d 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 — 206 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Superseded: the video kit now does this with the phone-chat part, version 1.2.0, in the parts folder of this repository. Every phone-chat style is a style file that draws the same screen frame by frame from the plan's scenes, with the original sounds, in the kit's browser. This atom stays, unchanged in behaviour, for skills outside the kit until they move; its scripts still run.
create-chatgpt-mockup
Purpose
Generate single-frame ChatGPT mobile screens that read as real iOS captures — accurate header chrome, user/assistant message styling, composer pill, status bar, and the OpenAI spiral mark. Designed for use inside ad creatives, social posts, video storyboards, and product mockups.
If you need an animated, video-recorded chat reveal (bubbles popping over time, SFX, music bed, end card), use the render-chatgpt-chat skill. This atom only produces a single still frame.
Inputs
Compose a thread.json matching the schema below, then pass it to render.js.
Thread JSON schema
{
"statusBar": {
"time": "9:41",
"dnd": false
},
"header": {
"style": "model-tag",
"title": "ChatGPT",
"model": "5.1",
"rightIcons": ["personPlus", "dottedCircle"]
},
"messages": [
{ "type": "user-image", "src": "assets/photo.jpg", "aspect": "square" },
{ "type": "user-text", "text": "Make this face sunscreen better" },
{
"type": "assistant",
"title": "Optional H1 with spiral logo",
"feedback": true,
"text": "Markdown-ish prose. **bold**, *italic*, ## H2, * bullet, 1. ordered, [[cite:Source +1]], [[icon:💡]] inline-icon."
}
],
"composer": {
"placeholder": "Ask anything",
"text": "Typed text to show with caret",
"cursor": true,
"streaming": false,
"chip": { "name": "Seatfinch" }
}
}
Field reference
statusBar
time— string shown top-left (e.g."9:41","08:18").dnd— whentrue, renders a small moon glyph next to the time (matches iOS Focus-on indicator).
What ships with it
19 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.
- examples/01-sunscreen-image.json 467 B
- examples/02-sleep-apnea-long.json 1.1 KB
- examples/03-poem-iphone-mac.json 1007 B
- examples/04-empty-typing.json 258 B
- examples/05-seatfinch-gpt-chip.json 596 B
- examples/06-short-howto.json 750 B
- examples/assets/sunscreen-sky.svg 3.1 KB
- generate.js 16 KB runs code
- package.json 348 B
- render.js 3.0 KB runs code
- screenshot.js 2.5 KB runs code
- skill.meta.json 136 B
- templates/chat.css 17 KB
- templates/icons.js 12 KB runs code
- tests/expected-output.md 2.8 KB
- tests/human-test.md 1.8 KB
- tests/run-all.sh 414 B runs code
- tests/sample-input.md 1.8 KB
- tests/smoke-test.md 796 B
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.
- 2d ago Changed 99e71314cbe0
- 17d ago Changed 4719bc0501a2
- 19d ago Changed · +4 lines fb5fb3bf87b0
- 1mo ago First seen · 202 lines · 90 tokens per session scan A ceffff9ed0fe
create-chatgpt-mockup is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,271 stars, last pushed today), licensed MIT. It adds 90 tokens to every session and 4,008 once invoked, about $0.0004 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 2026-09-03.
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