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 make-static-ads-claims-extractgit 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/make-static-ads-claims-extract)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/make-static-ads-claims-extract"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/make-static-ads-claims-extract/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/make-static-ads-claims-extract"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/make-static-ads-claims-extract.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 | $0.00094 | $0.00762 |
| Opus 5.5 | $0.00038 | $0.00305 |
| Sonnet 5.5 | $0.00019 | $0.00152 |
| Haiku 4.5 | $0.00009 | $0.00076 |
Grade A, and why
make-static-ads-claims-extract 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.
What it actually says
claims-extract
Every factual line in an ad is a usable fact or is cut (../make-static-ads/references/claims-and-policy.md §2, which applies the claims-gate skill). This atom is the static-ad extract step.
Reads: the copy (the make-static-ads-ad-copy skill); each ad's finished prompt (the make-static-ads-compose skill) for Pass A, or its renders for Pass B; the claims contract loaded at Step 1 (../claims-gate/SKILL.md §1); ../make-static-ads/references/claims-and-policy.md §1–2 (what counts, trigger words, the four doors, offers); the product record and real label text.
Writes: per ad, the span list with a verdict per span; the per-ad result and the cut list (hand-off and batch file).
- Pass A — extract from each ad before any quote: primary texts, link headline, description, CTA, destination; from the prompt, every on-image word it asks the model to draw (headline, support line, badge, sticker, quote) and what its scene implies (before/after pairs, glow "results", lab coats, seals, a picture that says the product replaces other products); offer terms.
- Pass B — what the model drew: read the render (by eye, or its automatic read) for words it added or changed, invented "#1", stars, seals, laurels, prices, a badge carried over from a reference, dropped qualifiers and garbled text.
- Verdict per span by the usable-fact rules (
claims-and-policy.md§2): keep it as recorded, keep it only as a quoted and attributed line, or cut it with what would confirm it. Use the trigger words there to spot spans; a shortened, merged or reworded claim is a new claim (rewording:../claims-gate/SKILL.md§1.7). - A cut on-image line → rewrite that ad's copy and prompt (the
make-static-ads-composeskill (../make-static-ads-compose/SKILL.md)) around usable facts only; the cut words never appear in the new prompt. A scene that implies the cut claim changes too. Then run Pass A again. A cut copy line → ad-copy rewrites it. - Offers, prices, stock: as
../make-static-ads/references/claims-and-policy.md§2 says. A translated ad is a new ad for this check. - A claim the marketer confirms in this chat counts only as the
claims-gateskill's sign-off records it (../claims-gate/SKILL.md§4).
Result per ad in plain words for chat ("safe to say", "cut 'never oily' — nothing on file confirms it; a test or your own confirmation would"); the spans, statuses and cut list in the batch file.
Done: every span has keep, quote or cut; no cut words remain in any prompt or copy.
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.
- 2d ago Changed · +2 lines a45352ccb54b
- 7d ago First seen · 23 lines · 94 tokens per session scan A 693a83661bfa
make-static-ads-claims-extract is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,271 stars, last pushed yesterday), licensed MIT. It adds 94 tokens to every session and 762 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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