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 write-video-ad-scriptgit 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/write-video-ad-script)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/write-video-ad-script"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/write-video-ad-script/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/write-video-ad-script"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/write-video-ad-script.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 | $0.00035 | $0.03241 |
| Opus 5.5 | $0.00014 | $0.01296 |
| Sonnet 5.5 | $0.00007 | $0.00648 |
| Haiku 4.5 | $0.00003 | $0.00324 |
Grade A, and why
write-video-ad-script 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 yesterday.
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 — 273 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Human version
Summary. Turn a researched advertising promise into a feasible video in the requested format. First load angle research, then bind it to the agreed story, visuals, timing and assets. Write and check the complete concept before the user reviews it. The output is one recommended script, its visual plan and up to two viable alternatives. A model score is a quality screen; ad results establish performance.
Agent version
When to use
Use before production for voiceover, dialogue, chat, cards or lyrics. For a silent format, still plan its visual promise and payoff; skip spoken copy, not creative strategy.
When the user supplied exact lines, keep them verbatim. Check them in report-only mode and raise material timing, claim or format conflicts. Rewrite only with their authorization. This skill adds no review round of its own; the script goes into the run's existing review.
Inputs and precedence
Read this skill's files reference before creating working files. Required context:
- The brand and exact product, current facts, voice and prohibited claims.
- Audience, campaign objective, offer and CTA, using saved context and brief first.
- The selected format/route and any actual template recipe: capabilities, choices, assets and inputs.
- A validated angle context from ad-angle-miner, including source records.
- Reference footage or its observed beat map, plus available brand assets.
- The current sourced creative brief and applicable project/brand decisions, including exact rejected wording, pronunciations and user-locked copy.
The user's explicit direction and chosen angle are fixed. Actual route capabilities determine what is possible. A supplied reference controls the agreed custom structure; templates supply compatible components. Expose concrete gaps and feasible alternatives within existing review, without silently replacing angle or required demonstration. A reference provides a storytelling structure; the product's facts provide claims.
What ships with it
25 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.
- references/angle-research.md 2.6 KB
- references/buyer-and-mechanism.md 4.1 KB
- references/creative-brief.md 3.9 KB
- references/dialogue-writing.md 7.3 KB
- references/files.md 20 KB
- references/hook-families.md 5.9 KB
- references/human-behavior.md 6.3 KB
- references/judge-contract.md 9.9 KB
- references/pacing.md 4.2 KB
- references/reference-and-performance.md 3.5 KB
- references/scene-and-hook.md 8.4 KB
- references/validate-and-repair.md 5.9 KB
- references/voice.md 5.2 KB
- scripts/critique_scripts.py 27 KB runs code
- scripts/lint_scripts.py 56 KB runs code
- scripts/media_proxy.py 56 KB runs code
- scripts/prepare_angle_context.py 11 KB runs code
- scripts/verify_handoff.py 13 KB runs code
- skill.meta.json 507 B
- tests/test_angle_handoff.py 15 KB runs code
- tests/test_creative_brief.py 6.1 KB runs code
- tests/test_critique_scripts.py 12 KB runs code
- tests/test_handoff_release.py 6.2 KB runs code
- tests/test_lint_scripts.py 26 KB runs code
- tests/test_pacing.py 15 KB runs code
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.
- yesterday Changed · +7 lines · -53 tokens per session 598be4213945
- 5d ago Changed · +1 lines f992a07e6df9
- 9d ago Changed · -124 lines 706d13b2cd5c
- 11d ago Changed · +8 lines 9c302c24f376
- 12d ago Changed · +40 lines 0a223a72a6f0
- 13d ago Changed · +5 lines · -43 tokens per session 87afc82a887c
- 14d ago Changed · +16 lines 87ddee7154a9
- 16d ago First seen · 320 lines · 131 tokens per session scan A c331d667f98f
write-video-ad-script is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,254 stars, last pushed today), licensed MIT. It adds 35 tokens to every session and 3,241 once invoked, about $0.0001 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 2026-10-02.
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