Work With Creators Creator Vetting

OrganizationPopular

gooseworks-ai

work-with-creators-creator-vetting

Vets creators you have already named from their public pages. Covers the median views of their last 12 to 20 posts (sponsored and organic apart), a read of their comments, how often they post, audience fit with how sure it is, about 12 months of brand-safety checks, rival partnerships and rules for regulated categories. Gives a verdict with dated numbers for each one. Use alone when you already have the creator handles and the brand's goal; otherwise run work-with-creators.

Overview

Publisher	gooseworks-ai
Repository	`goose-skills`
Skill name	`work-with-creators-creator-vetting`
Stars	1.3K
Forks	219
Bundled files	1
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by gooseworks-ai on GitHub. Read the source before you install it.

Installation

Install the Work With Creators Creator Vetting AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/gooseworks-ai/goose-skills/tree/main/skills/marketing/work-with-creators-creator-vetting
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/gooseworks-ai/goose-skills/tree/main/skills/marketing/work-with-creators-creator-vetting

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git /tmp/goose-skills
mkdir -p .claude/skills
cp -r /tmp/goose-skills/skills/marketing/work-with-creators-creator-vetting .claude/skills/work-with-creators-creator-vetting

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Work With Creators Creator Vetting in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Work With Creators Creator Vetting on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Work With Creators Creator Vetting is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

creator-vetting

Reads: finalists; the persona and goal; signed-off claims and never-says (to spot conflicting past claims); competitor list; ../work-with-creators/references/vetting.md; ../work-with-creators/references/data-sources.md.

Does, per finalist — at the depth set in discovery (full, light, UGC rubric, B2B branch; see section 0 of the reference). Free first: everything below is done from the public profile and post pages in the host browser (reference §15 says what each platform shows logged-out), labelled "public-page read ". What a page hides (views on some platforms, comments behind a login, audience countries, transcripts) is listed for the paid top-up, never guessed.

Read the profile and the last 12–20 posts on the main platform; drop pinned, giveaway and too-fresh posts; split sponsored and organic.
Compute median views, view rate, engagement on the right basis for the platform, sponsored ÷ organic, mean ÷ median, cadence.
Read the visible comments on 2–3 posts in the free pass (50–100 across ~5 posts in a top-up); record the share of generic/bot-like comments, self-descriptions, purchase questions, language and place signals.
Audience fit: evidence and a confidence level (high / medium / low), from what people say about themselves — quoted and counted. Audience countries only for reach/install roles, top five at most. UGC-for-ads: skip audience; judge hooks (transcripts), product handling, past brand-ad work, portfolio, turnaround, honesty risk; mark delivery "not watched" and record 2–3 video links for the human.
Brand safety: one web name search per shortlisted pick is part of the free pass — always run it (" scam / apology / drama / controversy"); then ~12 months of captions and a few transcripts; a name search with "scam / apology / drama / controversy" (if no search ran, the verdict says "captions and comments only"); past claims the brand could never make.
Conflicts: competitor partnership ads, competitor tags in the last 3–6 months.
Regulated and minors checks per the reference; any fail → out.
Write the verdict line (the shape at the end of the reference). Fails become near-misses with the number that failed.

Writes: a verdict per finalist with all numbers, vetted_on date and post links; near-misses with reasons.

Rules: no number, no verdict. Label all authenticity findings "signals, not verified". Never infer ethnicity, age, gender, skin tone or health from images or names. No business-contact lookups here — they wait until the human approves the names.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

skill.meta.json1 KB

Frequently asked questions

What does the Work With Creators Creator Vetting AI skill do?

Why use Work With Creators Creator Vetting on TypingMind?

Because you install it once and use it with any model. Work With Creators Creator Vetting is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Work With Creators Creator Vetting in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/gooseworks-ai/goose-skills/tree/main/skills/marketing/work-with-creators-creator-vetting. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Work With Creators Creator Vetting?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Work With Creators Creator Vetting?

As many as you like. As long as a model supports skills, you can use Work With Creators Creator Vetting with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Work With Creators Creator Vetting AI skill free?

Yes. It is published on GitHub by gooseworks-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

creator-vetting

Bundled files

Frequently asked questions

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