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 spend-gategit 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/spend-gate)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/spend-gate"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/spend-gate/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/spend-gate"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/spend-gate.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 | $0.00088 | $0.01400 |
| Opus 5.5 | $0.00035 | $0.00560 |
| Sonnet 5.5 | $0.00018 | $0.00280 |
| Haiku 4.5 | $0.00009 | $0.00140 |
Grade A, and why
spend-gate 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 2d 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 — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
spend-gate
No credit is spent before the human's yes in this conversation. Money is always a credit number exactly as GooseWorks gives it — never dollars, never your own total presented as a price. Never name tools, endpoints or vendors to the marketer: describe the work in plain words ("Reddit threads about dog allergies, newest first").
Pick the branch by the tool:
A. Engine-quoted work (ads, photos, video, any tool with a dry run or a price check)
Managed marketing data: marketing_data_describe is free. marketing_data_lookup defaults to quote_only: true. Read the returned maximum credits and expiry, then request approval for that exact bounded work. Submit the same request with its quote token, the approved ceiling and the user’s words. A new request or expired quote needs a fresh quote. An existing approval may cover later calls only when it explicitly named that same bounded plan and total ceiling: quote each call, preserve the original approval words, and set its maximum no higher than the remaining approved credits. Ask again only for changed scope or more budget. Log every returned charge and deduct it before the next call; the tool’s per-call cap is not a cumulative plan limit. Free continuation pages inside that approved plan need no second spending approval. A capped quote is a maximum, not a claim about final usage. Never treat discovery, a successful quote or a fixture as proof that a paid data read ran.
- Ask the tool for its quote (its dry run,
quote_only, orgooseworks:data_price_providerfor fal and ElevenLabs calls). - Show each quote exactly as given. Several quotes are shown one by one, never added up by you.
- Ask for a yes to that quote. Submit only after it; a changed plan needs a new quote and a new yes.
- If an answer comes back as a card waiting for a press, follow the server's card rule and wait for the human.
B. Proxy data reads (no price check exists) — one yes
Covers gooseworks:data_call_provider / gooseworks:data_post_provider with ScrapeCreators, gooseworks:competitor_research with mentions, and capped imports (gooseworks:knowledge_sync, gooseworks:knowledge_import with a source, gooseworks:ads_library_scrape for Google). Endpoint paths, query keys and recency options: proxy-endpoints.md in this folder.
What ships with it
2 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.
- 2d ago Changed · +2 lines eb89d7a70b9a
- 7d ago First seen · 51 lines · 88 tokens per session scan A 9b40eb330f0a
spend-gate is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,271 stars, last pushed today), licensed MIT. It adds 88 tokens to every session and 1,400 once invoked, about $0.0004 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 2026-10-21.
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