Menu

Individual skill

work-with-creators-creator-vetting

0upvotes

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.

skills/marketing/work-with-creators-creator-vetting/SKILL.md

Read pinned source

Source commit df8298140d434a6363de0c265eb6af2e571d97a5

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
No
Repository scan complete
No
Skill scan complete
No
Observed behavior
Not checked yet
Last checked
Nov 11, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings)
1,315
Repository last updated
Nov 6, 2026
License
MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt

# 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.
Back to top