apify-influencer-discovery
Find and evaluate influencers for brand partnerships, verify authenticity, and track collaboration performance across Instagram, Facebook, YouTube, and TikTok.
77
66%
Does it follow best practices?
Impact
99%
6.60xAverage score across 3 eval scenarios
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/apify-influencer-discovery/SKILL.mdEvaluation results
100%
93%Instagram Niche Influencer Discovery Runbook
Actor selection and script invocation
Correct Actor for niche
0%
100%
run_actor.js script used
0%
100%
--env-file=.env flag
0%
100%
--actor flag present
0%
100%
--input flag present
0%
100%
Date-prefixed output filename
0%
100%
--format csv flag
0%
100%
Actor ID in runbook
0%
100%
Workflow steps documented
0%
100%
Summarization described
100%
100%
100%
75%TikTok Influencer Discovery: Schema Inspection Workflow
mcpc schema fetch workflow
Correct TikTok Actor ID
100%
100%
mcpc command used
0%
100%
--json mcp.apify.com target
0%
100%
Authorization Bearer header
0%
100%
fetch-actor-details subcommand
0%
100%
actor:= argument syntax
0%
100%
Token from .env file
100%
100%
jq output processing
0%
100%
mcpc install step
0%
100%
Node.js requirement mentioned
0%
100%
99%
85%Multi-Platform Influencer Discovery Plan for Gaming Launch
Multi-platform discovery workflow and output naming
Correct YouTube Actor ID
0%
100%
Correct Facebook page Actor ID
0%
100%
Date-prefixed YouTube output
0%
100%
Date-prefixed Facebook output
0%
100%
Workflow checklist present
50%
90%
run_actor.js in YouTube script
0%
100%
run_actor.js in Facebook script
0%
100%
--env-file=.env in both scripts
0%
100%
Summarization fields covered
100%
100%
mcpc schema fetch step
0%
100%
--format flag in both scripts
0%
100%
- Repository
- sickn33/antigravity-awesome-skills
- Commit
b938655
- Evaluated
- Agent
- Claude Code
- Model
- Claude Sonnet 4.6
Table of Contents
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