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-imessage-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-imessage-mockup)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/create-imessage-mockup"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/create-imessage-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-imessage-mockup"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/create-imessage-mockup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 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 114 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 197 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 Excessive Agency · line 163 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00049 | $0.03584 |
| Opus 5.5 | $0.00020 | $0.01434 |
| Sonnet 5.5 | $0.00010 | $0.00717 |
| Haiku 4.5 | $0.00005 | $0.00358 |
Grade A, and why
create-imessage-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 yesterday.
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 — 211 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-imessage-mockup
Generate iMessage screenshots that look like real iOS captures — correct bubbles with tails, typing indicators, timestamps, "Delivered" captions, group avatars + sender names, keyboard chrome, and an optional iPhone 15 Pro bezel with Dynamic Island and status bar.
Purpose
Turn a structured thread JSON into a believable iMessage screenshot — first as standalone HTML (generate.js + templates/chat.css), then rasterized to PNG with headless Chromium (screenshot.js/render.js via Playwright). It is the atom you reach for when an ad, social post, or video scene needs a fake-but-convincing iOS message capture.
What it gets right, grounded in the renderer:
- Bubble runs and tails — blue
sentbubbles (right) and grayreceivedbubbles (left), with a curved tear-drop tail drawn only on the last bubble of each consecutive sender run (isLastOfRuningenerate.js). - Dark-themed iOS chrome —
theme: "dark"flips the page to the iOS dark conversation look; the status bar, Dynamic Island, and keyboard match iPhone 15 Pro. - Group affordances — group threads (
mode: "group") add per-sender colored avatar circles, sender names above the first bubble of a run, and a 4-tile group-header badge. - Beats for storyboards —
timestamppills, a static-but-mid-animationtypingthree-dot bubble,attachmentcards, and "Delivered"/"Read" captions let you stage individual frames of a conversation. - Three crops —
--minimal(bubbles only),--with-keyboard(header + iOS keyboard), and--with-iphone-frame(full bezel + Dynamic Island + status bar over a gradient backdrop).
What ships with it
20 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.
- .gitignore 20 B
- examples/dm-minimal.json 375 B
- examples/dm-with-frame.json 513 B
- examples/dm-with-keyboard.json 373 B
- examples/dm-with-typing.json 601 B
- examples/group-minimal.json 699 B
- examples/group-with-frame.json 1.1 KB
- generate.js 15 KB runs code
- package-lock.json 1.7 KB
- package.json 411 B
- render.js 5.5 KB runs code
- screenshot.js 3.9 KB runs code
- skill.meta.json 137 B
- templates/chat.css 17 KB
- templates/icons.js 3.3 KB runs code
- tests/expected-output.md 2.3 KB
- tests/human-test.md 1.8 KB
- tests/run-all.sh 844 B runs code
- tests/sample-input.md 1.7 KB
- tests/smoke-test.md 1.1 KB
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.
- yesterday Changed · +2 lines f6645a094594
- 16d ago Changed 8eb2321b10a7
- 18d ago Changed · +4 lines df15ac58722f
- 1mo ago First seen · 205 lines · 49 tokens per session scan A ff4f8a381a28
create-imessage-mockup is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,270 stars, last pushed yesterday), licensed MIT. It adds 49 tokens to every session and 3,584 once invoked, about $0.0002 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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