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 ads-north-star-strategygit 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/ads-north-star-strategy)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/ads-north-star-strategy"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/ads-north-star-strategy/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/ads-north-star-strategy"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/ads-north-star-strategy.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 | $0.00121 | $0.04722 |
| Opus 5.5 | $0.00048 | $0.01889 |
| Sonnet 5.5 | $0.00024 | $0.00944 |
| Haiku 4.5 | $0.00012 | $0.00472 |
Grade A, and why
ads-north-star-strategy 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 22d 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 — 318 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ads North Star Strategy
What this is for. Intake produced facts: what the business sells, what a customer is worth, how long they take to buy, what the user wants from this money. This skill turns them into a strategy the user can read in a minute. Each choice comes with its reason, because the deep check re-reads this file weeks later and has to see what was assumed.
This skill decides. launch-meta-ad-campaign executes. The launch skill already holds
the rules for what to optimize for, how big a test the budget buys, and how to structure the
campaign. This skill applies those rules and records the answer. It does not restate
them. When they change, they change in one place.
The three things most strategies get wrong:
- Optimizing for a cheaper action than the real goal. Traffic is cheaper than leads. Clicks are cheaper than both. A strategy that picks the cheap action because it is available has decided to buy the wrong people.
- Splitting a small budget. One audience with 2–3 genuinely different ads beats three audiences that each starve.
- Ads that differ in colour, not in argument. Three versions of one message teach nothing. The angles have to differ in what they say.
Where this skill's files are
Paths are relative to this skill's own folder, not your working directory (in GooseWorks:
agent-config/skills/ads-north-star-strategy/). The harness docs contract ships with the
meta-ad-manager skill and the Stage 2 and Stage 4 rules with launch-meta-ad-campaign; both
are installed beside this one.
Choose one mode
Use the first mode that is available:
- GooseWorks when the GooseWorks tools are callable. Read references/gooseworks-adapter.md.
- Direct Meta when there is no GooseWorks, but a Meta token and ad account are available. Read references/direct-meta-adapter.md.
- Planning only when neither is available. Read references/planning-only.md.
What ships with it
5 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.
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.
- 22d ago First seen · 318 lines · 121 tokens per session scan A 49eb5dad390f
ads-north-star-strategy is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,254 stars, last pushed today), licensed MIT. It adds 121 tokens to every session and 4,722 once invoked, about $0.0005 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 2026-09-26.
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