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work-with-creators-creator-vetting

Assesses named creator candidates using public profiles and posts. It reports dated performance figures, audience fit with confidence, brand safety signals, competitor ties, and any regulated-category concerns, with links and reasons for each verdict.

OriginalShow the original 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.

gooseworks-ai/goose-skills1,272 stars(GitHub 1,272 + cccskills 0)

Run score Not tested

See how to install

Good for

  • Comparing shortlisted creator candidates
  • Checking recent views and audience fit
  • Reviewing brand safety and competitor partnerships

Files included (2)

  • SKILL.md3.1 KB
  • skill.meta.json278 B

SKILL.md (original)

Review the instructions the agent will receive before you install.

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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