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/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

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goose-skills
1.3k200 skills
Install
$ npx -y skills add gooseworks-ai/goose-skills --skill work-with-creators-creator-vetting --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/work-with-creators-creator-vetting

Context preview

The summary Claude sees to decide when to auto-load this skill.

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

SKILL.md

work-with-creators-creator-vetting.SKILL.md
name: work-with-creators-creator-vetting
description: >-
  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.
version: 0.1.0

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 <date>". What a page hides (views on some platforms, comments behind a login, audience countries, transcripts) is listed for the paid top-up, never guessed. 1. Read the profile and the last 12–20 posts on the main platform; drop pinned, giveaway and too-fresh posts; split sponsored and organic. 2. Compute median views, view rate, engagement on the right basis for the platform, sponsored ÷ organic, mean ÷ median, cadence. 3. 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. 4. 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. 5. Brand safety: one web name search per shortlisted pick is part of the free pass — always run it ("<name> 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. 6. Conflicts: competitor partnership ads, competitor tags in the last 3–6 months. 7. Regulated and minors checks per the reference; any fail → out. 8. 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.

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