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 content-asset-creatorgit 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/content-asset-creator)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/content-asset-creator"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/content-asset-creator/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/content-asset-creator"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/content-asset-creator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 4 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 Data Exfiltration · line 101 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 101 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 127 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium MCP Rug Pull · line 209 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 | $0.00073 | $0.02277 |
| Opus 5 | $0.00036 | $0.01138 |
| Sonnet 5 | $0.00015 | $0.00455 |
| Haiku 4.5 | $0.00007 | $0.00228 |
Grade A, and why
content-asset-creator scanned grade A with 1 finding 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 9d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -X POST https://api.gamma.app/v1/generate \ How it starts
The opening of the file, as written. The whole thing — 259 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Asset Creator
Generates beautiful, branded content assets (reports, landing pages, one-pagers) from structured data. Designed for producing lead magnets, industry reports, and marketing collateral programmatically.
Quick Start
Create a 2-page industry report for Juicebox about "The State of AI Recruiting in 2026".
Use these data points: [list stats]. Brand: Juicebox blue, clean modern design.
Inputs
- Asset type (required) —
report,landing-page,comparison,one-pager - Content data (required) — structured data for the asset (title, sections, stats, narrative)
- Brand config (optional) — colors, fonts, logo URL. Defaults to Juicebox brand.
- Output — HTML file path (default:
output/[asset-type]-[date].html)
Asset Types
1. Industry Report (2-3 pages)
A data-forward document with stats, narrative sections, and visualizations.
Input structure:
type: report
title: "The State of AI Recruiting — 2026"
subtitle: "Data-driven insights on how AI is transforming talent acquisition"
brand:
name: "Juicebox"
primary_color: "#4F46E5" # Indigo/blue
secondary_color: "#10B981" # Green accent
font: "Inter"
logo_url: "https://juicebox.ai/logo.svg"
sections:
- type: hero-stat
stat: "93%"
label: "of recruiters plan to increase AI use in 2026"
source: "LinkedIn Talent Solutions"
- type: narrative
title: "The AI Recruiting Revolution"
body: "AI adoption in recruiting jumped from 26% to 43% in just two years..."
- type: stat-grid
stats:
- { value: "800M+", label: "Profiles searchable by AI" }
- { value: "47%", label: "Reduction in time-to-fill" }
- { value: "10x", label: "Cheaper than LinkedIn Recruiter" }
- type: comparison-table
headers: ["Feature", "Traditional", "AI-Powered"]
rows:
- ["Search method", "Boolean keywords", "Natural language"]
- ["Data sources", "1 (LinkedIn)", "60+ sources"]
- type: cta
headline: "See AI recruiting in action"
body: "Try PeopleGPT free — search 800M+ profiles in natural language"
button_text: "Get Started Free"
button_url: "https://juicebox.ai"
footer:
text: "© 2026 Juicebox. Data sources cited throughout."
What ships with it
1 file 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.
- 9d ago First seen · 259 lines · 73 tokens per session scan A 69a87013310d
content-asset-creator is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,202 stars, last pushed 11d ago), licensed MIT. It adds 73 tokens to every session and 2,277 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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