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 create-creator-takes-h3git 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/create-creator-takes-h3)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/create-creator-takes-h3"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/create-creator-takes-h3/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/create-creator-takes-h3"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/create-creator-takes-h3.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 | $0.00131 | $0.07683 |
| Opus 5.5 | $0.00052 | $0.03073 |
| Sonnet 5.5 | $0.00026 | $0.01537 |
| Haiku 4.5 | $0.00013 | $0.00768 |
Grade A, and why
create-creator-takes-h3 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 today.
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 — 245 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Superseded by:
[email protected]. Compatibility scripts retain the source-review guards; frozen versions are unchanged.
create-creator-takes-h3
Summary. Generate one creator take, review the actual picture and sound, then continue with qualified sources. Keep native speech attached to its picture and assemble only complete reviewed takes. The provider can still invent words, drift in identity or fail an action; prompts and transcripts do not certify a pass.
Use the shared builder for people. Defaults: GPT Image 2, phone capture in a lived-in room, deep focus, no bokeh, no retouching, and one light lock (window or lamp light from one side, normal exposure, no HDR, matte skin, no over-sharpening). Studio or shallow focus only when the reference is shot that way. No forced flaws; marks only when the user chose them, and a skin condition only when the product treats it. A person who acts is an action shot, not a talking head.
| Script | What | Cost |
|---|---|---|
make_character.py |
build the creator still from the user's choices, one shot | paid (one still, cents) |
pair_voice.py |
the voice for this person: a matched ElevenLabs voice, or a Voice Design request | free (Voice Design itself is paid) |
plan_takes.py |
split lines into takes (under 15s each) and write the prompts | free |
run_takes.py |
generate the takes, dry run unless --go |
paid (H3 Max, 768P by default) |
join_takes.py |
join into one creator track | free |
align_beats.py |
move line timings onto the spoken words | free |
character-prompt.json is the realism prompt for the character still. Do not fill it by
hand. make_character.py fills every slot and calls create-image-fal, because a
hand-filled prompt left slots blank and produced the composite face the formula warns about,
and different runs filled it differently.
make_character.py is the shared builder for any generated person still in a custom video, not
only for H3 takes. Fetch create-image-fal with it; the script calls its gen_image.py. Before
the paid call, price the exact --payload-out request with data_price_provider (free, read-only):
--dry-run --payload-out work/character/payload.json writes {"model", "body", "quality_tier"} (plus
upgrade and query when there are any), the exact request gen_image.py will send, and generates
nothing. Send the body, and the query fields (shot_scene, upgrade_*) as top-level fields of the
price request, so the check prices the call that will run.
What ships with it
18 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.
- scripts/align_beats.py 3.9 KB runs code
- scripts/character-prompt.json 2.1 KB
- scripts/content_review.py 3.3 KB runs code
- scripts/join_takes.py 13 KB runs code
- scripts/make_character.py 30 KB runs code
- scripts/media_proxy.py 56 KB runs code
- scripts/pair_voice.py 38 KB runs code
- scripts/plan_takes.py 21 KB runs code
- scripts/run_takes.py 19 KB runs code
- scripts/tiers.py 6.1 KB runs code
- skill.meta.json 390 B
- tests/smoke-test.md 1.2 KB
- tests/test_action_skin_light.py 7.0 KB runs code
- tests/test_hands_voice_pace.py 10 KB runs code
- tests/test_make_character.py 4.9 KB runs code
- tests/test_quality_tier.py 14 KB runs code
- tests/test_run_takes_rejection.py 17 KB runs code
- tests/test_voice_ethnicity.py 35 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.
- today Changed · +38 lines 4d1fe6840764
- yesterday Changed · +35 lines f6971e954141
- 5d ago Changed · +3 lines d688e6e97362
- 9d ago Changed · +3 lines d481f5e338b4
- 11d ago Changed · +45 lines 121a25e71a93
- 18d ago Changed · +45 lines 87d4b353feaa
- 19d ago First seen · 76 lines · 131 tokens per session scan A 2ea61c1e89fc
create-creator-takes-h3 is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,254 stars, last pushed today), licensed MIT. It adds 131 tokens to every session and 7,683 once invoked, about $0.0005 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 2026-09-29.
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