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 answer-ads-questionsgit 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/answer-ads-questions)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/answer-ads-questions"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/answer-ads-questions/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/answer-ads-questions"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/answer-ads-questions.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 | $0.00086 | $0.03089 |
| Opus 5.5 | $0.00034 | $0.01236 |
| Sonnet 5.5 | $0.00017 | $0.00618 |
| Haiku 4.5 | $0.00009 | $0.00309 |
Grade A, and why
answer-ads-questions 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 — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Answer Ads Questions
In one line: answer "how are my ads doing?" from a tool you called this turn, say which days the numbers cover and when they were last synced, and say out loud when the data is incomplete.
- Numbers come from tools, never from memory or the docs. The
ads/docs explain why Goose did something. They are not a source of metrics. - Every number carries its window and sync time. "You spent $212 from Sep 17 to Sep 23 (data last synced Sep 24, 09:00 UTC)."
- Partial, stale or disconnected data is said straight after the answer, never buried or left out.
- This skill only reads. It never pauses, changes or writes anything.
Where this skill's files are
Paths are relative to this skill's own folder, not your working directory (in GooseWorks:
agent-config/skills/answer-ads-questions/). The harness docs contract ships with the
meta-ad-manager skill, installed beside this one.
Choose one mode
Use the first mode that is available:
- GooseWorks when the GooseWorks Meta read tools are callable. Read references/gooseworks-adapter.md.
- Direct Meta when there is no GooseWorks, but a Meta token with
ads_readand the ad account id are available. Read references/direct-meta-adapter.md. - Planning only when neither is available. Read references/planning-only.md.
"The adapter" below means the file for the mode you chose.
Purpose
Give a user a true, dated answer about their Meta ads that they could act on. The usual way this goes wrong is that the agent repeats a number from an earlier turn or a report, and presents it as current. Or it misses that half the account did not sync. This skill fixes the source (a tool read this turn) and the framing (window, sync time, connection state).
Reach for it on any question about spend, results, delivery, which ad is best or worst, whether a push is live or paused, what Goose has noticed, or why Goose made a decision.
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 · 202 lines · 86 tokens per session scan A ef28f0c3f5dd
answer-ads-questions is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,254 stars, last pushed today), licensed MIT. It adds 86 tokens to every session and 3,089 once invoked, about $0.0003 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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