ad-policy-check
Checks paid ads against the ad platform's rules (Meta, TikTok, Google, LinkedIn and others) and the brand's category rules: the…
Shared step of the marketing playbooks (make-static-ads, research-market, run-paid-campaigns, work-with-creators): gets the human's yes before any credits are spent. Shows the price exactly as quoted, or asks for one yes to a credit ceiling for paid data reads, stays under it
$ npx -y skills add gooseworks-ai/goose-skills --skill spend-gate --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/spend-gateContext preview
The summary Claude sees to decide when to auto-load this skill.
Shared step of the marketing playbooks (make-static-ads, research-market, run-paid-campaigns, work-with-creators): gets the human's yes before any credits are spent. Shows the price exactly as quoted, or asks for one yes to a credit ceiling for paid data reads, stays under it
name: spend-gate description: >- Shared step of the marketing playbooks (make-static-ads, research-market, run-paid-campaigns, work-with-creators): gets the human's yes before any credits are spent. Shows the price exactly as quoted, or asks for one yes to a credit ceiling for paid data reads, stays under it and logs each charge. Also covers scheduled runs. Loaded by those playbooks; not for direct use. version: 0.1.0
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:
1. Ask the tool for its quote (its dry run, `quote_only`, or `gooseworks:data_price_provider` for fal and ElevenLabs calls). 2. Show each quote exactly as given. Several quotes are shown one by one, never added up by you. 3. Ask for a yes to that quote. Submit only after it; a changed plan needs a new quote and a new yes. 4. If an answer comes back as a card waiting for a press, follow the server's card rule and wait for the human.
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.
Paid reads deepen a free result; they are never the starting point. Offer them only after the playbook's free pass, in the same message as the draft answer (`../marketing-guide/research-pattern.md` (in the `marketing-guide` skill)), and ask **once**.
1. **Read the price history:** `research/credits-log/<YYYY-MM>.md` for this month and last (the scope in [the `marketing-guide` skill](../marketing-guide/SKILL.md) §2). 2. **Plan the top-up** with a cap on every row (pages per query, items per page, comments per post, profiles per list) and say in plain words what it adds to the free result. 3. **Estimate and ask one yes** to "up to N credits", labelled an estimate:
Caps that tools take in their own unit (a few import tools take a small dollar cap) are described in words — "a small capped import" — and the credits charged are reported afterwards; never quote the dollar figure. 4. **Run inside it.** Run the probe call first and keep its results. If the real per-call charge means the plan cannot fit, trim the plan to fit the ceiling — never cross it; ask again only if the human wants more. Then the cheapest and most decisive rows first; stop a row when it saturates. Calls that depend on earlier results (comments on the posts a search finds) fit inside the same ceiling. A playbook may reserve part of the ceiling for a named purpose (research-market's crisis reserve for its listening). 5. **Log every charge** as it comes back, in `research/credits-log/<YYYY-MM>.md` (same scope as step 1; read it, add the row, write the whole file back): `date | playbook | tool/endpoint | query kind | items | credits` "Query kind" describes the read ("brand name search, TikTok, past month"), never a private person's name or contact. 6. **Stop at the ceiling.** If the next call would cross it, stop. A failed call is retried once only when its error says that is safe; a bad path or key is logged, never guessed again. 7. **Report:** credits charged against the ceiling, in plain words. Endpoint detail stays in the log.
If the human declines or trims the top-up, the free result stands; name what the paid reads would have added as a gap ("not read: TikTok comments — top-up not approved").
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