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 ad-to-landing-page-auditorgit 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/ad-to-landing-page-auditor)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/ad-to-landing-page-auditor"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/ad-to-landing-page-auditor/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/ad-to-landing-page-auditor"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/ad-to-landing-page-auditor.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 | $0.00060 | $0.01797 |
| Opus 5 | $0.00030 | $0.00898 |
| Sonnet 5 | $0.00012 | $0.00359 |
| Haiku 4.5 | $0.00006 | $0.00180 |
Grade A, and why
ad-to-landing-page-auditor 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 13d 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.
If `fetch_webpage` is not available, use `curl` to retrieve the page HTML. How it starts
The opening of the file, as written. The whole thing — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ad-to-Landing Page Auditor
The #1 reason ads get clicks but not conversions: the landing page doesn't deliver on the ad's promise. This skill audits the full click path — from ad copy to landing page experience — and flags every disconnect.
Core principle: A great ad with a mismatched landing page is worse than a mediocre ad with a matched one. Message match is the single biggest conversion lever most startups ignore.
When to Use
- "Why are my ads getting clicks but no conversions?"
- "Audit my ad-to-landing page flow"
- "Check message match on our campaigns"
- "My conversion rate is low — help me figure out why"
- "Review our landing pages for our ad campaigns"
Phase 0: Intake
- Ad copy — For each ad, provide:
- Headline(s)
- Body / description text
- CTA text
- Platform (Google Search / Meta / LinkedIn)
- Landing page URLs — The URL each ad points to
- Conversion goal — What should happen after someone clicks? (Demo / Trial / Purchase / Download)
- Known conversion rates? — Current click → conversion rate per ad/LP (if available)
If the user has a CSV export from their ad platform, parse that instead.
Phase 1: Ad Inventory
Parse the provided ads into:
| Ad ID | Platform | Headline | Body/Description | CTA | Landing Page URL | Conv Rate (if known) |
|---|
Phase 2: Landing Page Audit
For each unique landing page URL, fetch the page content:
fetch_webpage: [landing_page_url]
If fetch_webpage is not available, use curl to retrieve the page HTML.
Extract and score:
2A: Content Elements
| Element | Found? | Content |
|---|---|---|
| Hero headline | [Y/N] | "[Text]" |
| Subheadline | [Y/N] | "[Text]" |
| Primary CTA | [Y/N] | "[Button text]" |
| CTA above fold | [Y/N] | — |
| Social proof | [Y/N] | [Logos / testimonials / metrics] |
| Benefit list | [Y/N] | [Key benefits listed] |
| Form / Sign-up | [Y/N] | [Field count: N] |
| Video | [Y/N] | — |
| Trust signals | [Y/N] | [Security badges, guarantees] |
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.
- 13d ago First seen · 216 lines · 60 tokens per session scan A b3ea03a229c6
ad-to-landing-page-auditor is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,202 stars, last pushed 11d ago), licensed MIT. It adds 60 tokens to every session and 1,797 once invoked, about $0.0003 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 2026-08-30.
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