creator-vetting
Skill66 starsChanged 6 days agoMITView on GitHub
Check whether a creator or influencer account is worth paying, by spotting fake followers, bought engagement, inactive audiences and brand-safety issues on TikTok, Instagram and YouTube. Use before a sponsorship, a UGC deal or a partnership. Uses the ScrapeIO API.
- Reads credentials
3 other projects use a version of this.
Adopted by
Most recently taken up by
- mesmerlord/lurkapi-claude-plugintheir own version, first seen Nov 8, 2026
- AceyTracy/creator-vettingtheir own version, first seen Jul 6, 2026
- whyashthakker/agent-skills-marketingtheir own version, first seen Jun 21, 2026
Other versions3 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 3
- whyashthakker/agent-skills-marketing★ 15same name
- AceyTracy/creator-vetting★ 0same name
- mesmerlord/lurkapi-claude-plugin★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository8 other files it gives its agents.
- AGENTS.mdAGENTS.md
- ad-library-researchSkill
- comment-insightsSkill
- competitor-social-auditSkill
- influencer-discoverySkill
- scrapeioSkill
- social-trend-researchSkill
- video-transcript-researchSkill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 0 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 36
With the
scrapeioMCP server: use the named tool when it exists (for example tiktok_profile).
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Creator vetting
Give a clear yes, no or "ask for more data" on one creator, with the evidence.
Steps
- Profile:
tiktok_profile,instagram_profileoryoutube_channelwith thehandle. - Last 20 to 30 posts:
tiktok_profile_videos,instagram_user_postsoryoutube_channel_videos. Page once if the first page has fewer than 20. - Compute:
- median
playsand view rate (median plays / followers). Healthy short-video accounts are usually above 5%; under 1% is a red flag. - engagement rate (likes + comments) / plays. Very high likes with very few comments suggests bought likes.
- spread: one viral post and the rest flat means the follower count overstates reach. Report the median, not the mean.
- posting cadence and the date of the last post.
- share of posts marked
is_ad, if present.
- median
- Comment sample: pull comments on 2 recent posts (
tiktok_comments,instagram_comments,youtube_comments, byurl). Look for generic bot comments ("nice", emoji only, repeated text from many accounts) and for what the audience actually talks about. - Brand safety: skim captions and transcripts of the 5 most viewed posts (
tiktok_transcript,instagram_transcript,youtube_transcript) for topics the brand would not want. - Optional, TikTok only:
/v1/tiktok/user/audience(handle) returns audience demographics; it costs up to 26 credits, so ask first.
Output
Verdict first (Go, No go, or Ask for their analytics), then a short evidence table: followers, median plays, view rate, engagement rate, comment quality, last post, red flags. Link the posts you looked at.
Cost
About 5 to 8 credits per creator, plus up to 26 for audience demographics.
How to call ScrapeIO
Needs SCRAPEIO_API_KEY. If it is missing, ask the user to get a free key at https://scrapeio.com/login (100 credits, no card). Never print the key.
- With the
scrapeioMCP server: use the named tool when it exists (for exampletiktok_profile). For any other path, usecall_endpointwith{ "path": "/v1/...", "params": { ... } }. - Without MCP:
curl -s "https://scrapeio.com<path>?<params>" -H "x-api-key: $SCRAPEIO_API_KEY". - Answers are in
data; lists aredata.itemswithdata.cursoranddata.has_more. Fields are the same on every platform:handle,followers,plays,likes,comments,shares,created_at,url. - 403 (private) and 404 (not found) are free: skip and move on. Retry 502 once. 402 means the user needs credits (https://scrapeio.com/pricing).
- Watch
credits_remainingand tell the user before a step would spend more than they expect.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

